RSS Feed for filtering http://solvonauts.org/%3Faction%3Drss_search%26term%3Dfiltering RSS Feed for filtering 6.003 Signals and Systems (MIT) 6.003 Signals and Systems (MIT) This course covers fundamentals of signal and system analysis with applications drawn from filtering audio and image processing communications and automatic control Topics include convolution Fourier series and transforms sampling and discrete time processing of continuous time signals modulation Laplace and Z transforms and feedback systems This course covers fundamentals of signal and system analysis with applications drawn from filtering audio and image processing communications and automatic control Topics include convolution Fourier series and transforms sampling and discrete time processing of continuous time signals modulation Laplace and Z transforms and feedback systems http://dspace.mit.edu/handle/1721.1/60965 http://dspace.mit.edu/handle/1721.1/60965 13.49 Maneuvering and Control of Surface and Underwater Vehicles (MIT) 13.49 Maneuvering and Control of Surface and Underwater Vehicles (MIT) Maneuvering motions of surface and underwater vehicles Derivation of equations of motion hydrodynamic coefficients Memory effects Linear and nonlinear forms of the equations of motion Control surfaces modeling and design Engine propulsor and transmission systems modeling and simulation during maneuvering Stability of motion Principles of multivariable automatic control Optimal control Kalman filtering loop transfer recovery Applications chosen from autopilots for surface vehicles towing in open seas remotely operated vehicles Maneuvering motions of surface and underwater vehicles Derivation of equations of motion hydrodynamic coefficients Memory effects Linear and nonlinear forms of the equations of motion Control surfaces modeling and design Engine propulsor and transmission systems modeling and simulation during maneuvering Stability of motion Principles of multivariable automatic control Optimal control Kalman filtering loop transfer recovery Applications chosen from autopilots for surface vehicles towing in open seas remotely operated vehicles http://dspace.mit.edu/handle/1721.1/35260 http://dspace.mit.edu/handle/1721.1/35260 6.161 Modern Optics Project Laboratory (MIT) 6.161 Modern Optics Project Laboratory (MIT) 6 161 explores modern optics through lectures laboratory exercises and projects Topics covered include polarization properties of light reflection and refraction coherence and interference Fraunhofer and Fresnel diffraction imaging and transforming properties of lenses spatial filtering coherent optical processors holography optical properties of materials lasers nonlinear optics electro optic and acousto optic materials and devices optical detectors fiber optics and optical communication This course is worth 12 Engineering Design Points 6 161 explores modern optics through lectures laboratory exercises and projects Topics covered include polarization properties of light reflection and refraction coherence and interference Fraunhofer and Fresnel diffraction imaging and transforming properties of lenses spatial filtering coherent optical processors holography optical properties of materials lasers nonlinear optics electro optic and acousto optic materials and devices optical detectors fiber optics and optical communication This course is worth 12 Engineering Design Points http://dspace.mit.edu/handle/1721.1/35265 http://dspace.mit.edu/handle/1721.1/35265 6.161 Modern Optics Project Laboratory (MIT) 6.161 Modern Optics Project Laboratory (MIT) 6 161 offers an introduction to laboratory optics optical principles and optical devices and systems This course covers a wide range of topics including polarization properties of light reflection and refraction coherence and interference Fraunhofer and Fresnel diffraction holography imaging and transforming properties of lenses spatial filtering two lens coherent optical processor optical properties of materials lasers electro optic acousto optic and liquid crystal light modulators optical detectors optical waveguides and fiber optic communication systems Students engage in extensive oral and written communication exercises There are 12 engineering design points associated with this subject 6 161 offers an introduction to laboratory optics optical principles and optical devices and systems This course covers a wide range of topics including polarization properties of light reflection and refraction coherence and interference Fraunhofer and Fresnel diffraction holography imaging and transforming properties of lenses spatial filtering two lens coherent optical processor optical properties of materials lasers electro optic acousto optic and liquid crystal light modulators optical detectors optical waveguides and fiber optic communication systems Students engage in extensive oral and written communication exercises There are 12 engineering design points associated with this subject http://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-161-modern-optics-project-laboratory-fall-2005 http://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-161-modern-optics-project-laboratory-fall-2005 12.864 Inference from Data and Models (MIT) 12.864 Inference from Data and Models (MIT) The course is directed at making scientifically sensible deductions from the combination of observations with dynamics and kinematics represented generically as models There are two overlapping central themesLinear inverse methods and data assimilation including regression singular value decomposition objective mapping non stationary models and data Kalman filters adjoint methods assimilation etc Standard time series analysis including basic statistics Fourier methods spectra coherence filtering etc The course is directed at making scientifically sensible deductions from the combination of observations with dynamics and kinematics represented generically as models There are two overlapping central themesLinear inverse methods and data assimilation including regression singular value decomposition objective mapping non stationary models and data Kalman filters adjoint methods assimilation etc Standard time series analysis including basic statistics Fourier methods spectra coherence filtering etc http://dspace.mit.edu/handle/1721.1/36836 http://dspace.mit.edu/handle/1721.1/36836 13.49 Maneuvering and Control of Surface and Underwater Vehicles (MIT) 13.49 Maneuvering and Control of Surface and Underwater Vehicles (MIT) This course is about maneuvering motions of surface and underwater vehicles Topics covered include derivation of equations of motion hydrodynamic coefficients memory effects linear and nonlinear forms of the equations of motion control surfaces modeling and design engine propulsor and transmission systems modeling and simulation during maneuvering The course also deals with nbsp stability of motion principles of multivariable automatic control optimal control Kalman filtering and loop transfer recovery We will also explore applications chosen from autopilots for surface vehicles towing in open seas and remotely operated vehicles This course is about maneuvering motions of surface and underwater vehicles Topics covered include derivation of equations of motion hydrodynamic coefficients memory effects linear and nonlinear forms of the equations of motion control surfaces modeling and design engine propulsor and transmission systems modeling and simulation during maneuvering The course also deals with nbsp stability of motion principles of multivariable automatic control optimal control Kalman filtering and loop transfer recovery We will also explore applications chosen from autopilots for surface vehicles towing in open seas and remotely operated vehicles http://dspace.mit.edu/handle/1721.1/36835 http://dspace.mit.edu/handle/1721.1/36835 6.801 Machine Vision (MIT) 6.801 Machine Vision (MIT) Machine Vision provides an intensive introduction to the process of generating a symbolic description of an environment from an image Lectures describe the physics of image formation motion vision and recovering shapes from shading Binary image processing and filtering are presented as preprocessing steps Further topics include photogrammetry object representation alignment analog VLSI and computational vision Applications to robotics and intelligent machine interaction are discussed Machine Vision provides an intensive introduction to the process of generating a symbolic description of an environment from an image Lectures describe the physics of image formation motion vision and recovering shapes from shading Binary image processing and filtering are presented as preprocessing steps Further topics include photogrammetry object representation alignment analog VLSI and computational vision Applications to robotics and intelligent machine interaction are discussed http://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-801-machine-vision-fall-2004 http://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-801-machine-vision-fall-2004 6.661 Receivers, Antennas, and Signals (MIT) 6.661 Receivers, Antennas, and Signals (MIT) This course explores the detection and measurement of radio and optical signals encountered in communications astronomy remote sensing instrumentation and radar Topics covered include statistical analysis of signal processing systems including radiometers spectrometers interferometers and digital correlation systems matched filters and ambiguity functions communications channel performance measurement of random electromagnetic fields angular filtering properties of antennas interferometers and aperture synthesis systems and radiative transfer and parameter estimation This course explores the detection and measurement of radio and optical signals encountered in communications astronomy remote sensing instrumentation and radar Topics covered include statistical analysis of signal processing systems including radiometers spectrometers interferometers and digital correlation systems matched filters and ambiguity functions communications channel performance measurement of random electromagnetic fields angular filtering properties of antennas interferometers and aperture synthesis systems and radiative transfer and parameter estimation http://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-661-receivers-antennas-and-signals-spring-2003 http://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-661-receivers-antennas-and-signals-spring-2003 12.864 Inference from Data and Models (MIT) 12.864 Inference from Data and Models (MIT) The course is directed at making scientifically sensible deductions from the combination of observations with dynamics and kinematics represented generically as models There are two overlapping central themeslinear inverse methods and data assimilation including regression singular value decomposition objective mapping non stationary models and data Kalman filters adjoint methods assimilation etc standard time series analysis including basic statistics Fourier methods spectra coherence filtering etc The course is directed at making scientifically sensible deductions from the combination of observations with dynamics and kinematics represented generically as models There are two overlapping central themeslinear inverse methods and data assimilation including regression singular value decomposition objective mapping non stationary models and data Kalman filters adjoint methods assimilation etc standard time series analysis including basic statistics Fourier methods spectra coherence filtering etc http://dspace.mit.edu/handle/1721.1/36361 http://dspace.mit.edu/handle/1721.1/36361 2.154 Maneuvering and Control of Surface and Underwater Vehicles (13.49) (MIT) 2.154 Maneuvering and Control of Surface and Underwater Vehicles (13.49) (MIT) This course is about maneuvering motions of surface and underwater vehicles Topics covered include derivation of equations of motion hydrodynamic coefficients memory effects linear and nonlinear forms of the equations of motion control surfaces modeling and design engine propulsor and transmission systems modeling and simulation during maneuvering The course also deals with stability of motion principles of multivariable automatic control optimal control Kalman filtering and loop transfer recovery We will also explore applications chosen from autopilots for surface vehicles towing in open seas and remotely operated vehicles This course was originally offered in Course 13 Department of Ocean Engineering as 13 49 In 2005 ocean engineering subjects became part of Co This course is about maneuvering motions of surface and underwater vehicles Topics covered include derivation of equations of motion hydrodynamic coefficients memory effects linear and nonlinear forms of the equations of motion control surfaces modeling and design engine propulsor and transmission systems modeling and simulation during maneuvering The course also deals with stability of motion principles of multivariable automatic control optimal control Kalman filtering and loop transfer recovery We will also explore applications chosen from autopilots for surface vehicles towing in open seas and remotely operated vehicles This course was originally offered in Course 13 Department of Ocean Engineering as 13 49 In 2005 ocean engineering subjects became part of Co http://ocw.mit.edu/courses/mechanical-engineering/2-154-maneuvering-and-control-of-surface-and-underwater-vehicles-13-49-fall-2004 http://ocw.mit.edu/courses/mechanical-engineering/2-154-maneuvering-and-control-of-surface-and-underwater-vehicles-13-49-fall-2004 6.161 Modern Optics Project Laboratory (MIT) 6 161 offers an introduction to laboratory optics optical principles and optical devices and systems This course covers a wide range of topics including polarization properties of light reflection and refraction coherence and interference Fraunhofer and Fresnel diffraction holography imaging and transforming properties of lenses spatial filtering two lens coherent optical processor optical properties of materials lasers electro optic acousto optic and liquid crystal light modulators optical detectors optical waveguides and fiber optic communication systems Students engage in extensive oral and written communication exercises There are 12 engineering design points associated with this subject https://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-161-modern-optics-project-laboratory-fall-2005 https://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-161-modern-optics-project-laboratory-fall-2005 6.801 Machine Vision (MIT) Machine Vision provides an intensive introduction to the process of generating a symbolic description of an environment from an image Lectures describe the physics of image formation motion vision and recovering shapes from shading Binary image processing and filtering are presented as preprocessing steps Further topics include photogrammetry object representation alignment analog VLSI and computational vision Applications to robotics and intelligent machine interaction are discussed http://mit-ocw.sbu.ac.ir/Default.aspx?tabid=3463 http://mit-ocw.sbu.ac.ir/Default.aspx?tabid=3463 6.801 Machine Vision (MIT) Machine Vision provides an intensive introduction to the process of generating a symbolic description of an environment from an image Lectures describe the physics of image formation motion vision and recovering shapes from shading Binary image processing and filtering are presented as preprocessing steps Further topics include photogrammetry object representation alignment analog VLSI and computational vision Applications to robotics and intelligent machine interaction are discussed https://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-801-machine-vision-fall-2004 https://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-801-machine-vision-fall-2004 12.864 Inference from Data and Models (MIT) The course is directed at making scientifically sensible deductions from the combination of observations with dynamics and kinematics represented generically as models There are two overlapping central themesLinear inverse methods and data assimilation including regression singular value decomposition objective mapping non stationary models and data Kalman filters adjoint methods assimilation etc Standard time series analysis including basic statistics Fourier methods spectra coherence filtering etc https://dspace.mit.edu/handle/1721.1/36836 https://dspace.mit.edu/handle/1721.1/36836 13.49 Maneuvering and Control of Surface and Underwater Vehicles (MIT) This course is about maneuvering motions of surface and underwater vehicles Topics covered include derivation of equations of motion hydrodynamic coefficients memory effects linear and nonlinear forms of the equations of motion control surfaces modeling and design engine propulsor and transmission systems modeling and simulation during maneuvering The course also deals with nbsp stability of motion principles of multivariable automatic control optimal control Kalman filtering and loop transfer recovery We will also explore applications chosen from autopilots for surface vehicles towing in open seas and remotely operated vehicles https://dspace.mit.edu/handle/1721.1/36835 https://dspace.mit.edu/handle/1721.1/36835 RES.LL-005 D4M: Signal Processing on Databases (MIT) RES.LL-005 D4M: Signal Processing on Databases (MIT) Includes audio video content AV lectures D4M is a breakthrough in computer programming that combines graph theory linear algebra and databases to address problems associated with Big Data Search social media ad placement mapping tracking spam filtering fraud detection wireless communication drug discovery and bioinformatics all attempt to find items of interest in vast quantities of data This course teaches a signal processing approach to these problems by combining linear algebraic graph algorithms group theory and database design This approach has been implemented in software The class will begin with a number of practical problems introduce the appropriate theory and then apply the theory to these problems Students will apply these ideas in the final project of their Includes audio video content AV lectures D4M is a breakthrough in computer programming that combines graph theory linear algebra and databases to address problems associated with Big Data Search social media ad placement mapping tracking spam filtering fraud detection wireless communication drug discovery and bioinformatics all attempt to find items of interest in vast quantities of data This course teaches a signal processing approach to these problems by combining linear algebraic graph algorithms group theory and database design This approach has been implemented in software The class will begin with a number of practical problems introduce the appropriate theory and then apply the theory to these problems Students will apply these ideas in the final project of their http://ocw.mit.edu/resources/res-ll-005-d4m-signal-processing-on-databases-fall-2012 http://ocw.mit.edu/resources/res-ll-005-d4m-signal-processing-on-databases-fall-2012 2.154 Maneuvering and Control of Surface and Underwater Vehicles (13.49) (MIT) This course is about maneuvering motions of surface and underwater vehicles Topics covered include derivation of equations of motion hydrodynamic coefficients memory effects linear and nonlinear forms of the equations of motion control surfaces modeling and design engine propulsor and transmission systems modeling and simulation during maneuvering The course also deals with stability of motion principles of multivariable automatic control optimal control Kalman filtering and loop transfer recovery We will also explore applications chosen from autopilots for surface vehicles towing in open seas and remotely operated vehicles This course was originally offered in Course 13 Department of Ocean Engineering as 13 49 In 2005 ocean engineering subjects became part of Co https://ocw.mit.edu/courses/mechanical-engineering/2-154-maneuvering-and-control-of-surface-and-underwater-vehicles-13-49-fall-2004 https://ocw.mit.edu/courses/mechanical-engineering/2-154-maneuvering-and-control-of-surface-and-underwater-vehicles-13-49-fall-2004 6.438 Algorithms for Inference (MIT) 6.438 Algorithms for Inference (MIT) This is a graduate level introduction to the principles of statistical inference with probabilistic models defined using graphical representations The material in this course constitutes a common foundation for work in machine learning signal processing artificial intelligence computer vision control and communication Ultimately the subject is about teaching you contemporary approaches to and perspectives on problems of statistical inference This is a graduate level introduction to the principles of statistical inference with probabilistic models defined using graphical representations The material in this course constitutes a common foundation for work in machine learning signal processing artificial intelligence computer vision control and communication Ultimately the subject is about teaching you contemporary approaches to and perspectives on problems of statistical inference http://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-438-algorithms-for-inference-fall-2014 http://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-438-algorithms-for-inference-fall-2014 Liver Physiology Liver Physiology Introduction to the physiology of the liver examining its role in filtering blood metabolism nutrient extraction and homeostasis Introduction to the physiology of the liver examining its role in filtering blood metabolism nutrient extraction and homeostasis http://www.nottingham.ac.uk/nursing/sonet/rlos/bioproc/liverphysiology/index.html http://www.nottingham.ac.uk/nursing/sonet/rlos/bioproc/liverphysiology/index.html 12.864 Inference from Data and Models (MIT) The course is directed at making scientifically sensible deductions from the combination of observations with dynamics and kinematics represented generically as models There are two overlapping central themeslinear inverse methods and data assimilation including regression singular value decomposition objective mapping non stationary models and data Kalman filters adjoint methods assimilation etc standard time series analysis including basic statistics Fourier methods spectra coherence filtering etc https://dspace.mit.edu/handle/1721.1/36361 https://dspace.mit.edu/handle/1721.1/36361 4.285 Research Topics in Architecture: Citizen-Centered Design of Open Governance Systems (MIT) 4.285 Research Topics in Architecture: Citizen-Centered Design of Open Governance Systems (MIT) In this seminar students will design and perfect a digital environment to house the activities of large scale organizations of people making bottom up decisions such as with citizen government affairs voting corporate shareholders or voting members of global non profits and labor unions A working Open Source prototype created last semester will be used as the starting point featuring collaborative filtering and electronic agent technology pioneered at the Media Lab This course focuses on development of online spaces as part of an interdependent human environment including physical architectures mapped work processes and social political dimensions A cross disciplinary approach will be taken students with background in architecture urban planning law cognition business digita In this seminar students will design and perfect a digital environment to house the activities of large scale organizations of people making bottom up decisions such as with citizen government affairs voting corporate shareholders or voting members of global non profits and labor unions A working Open Source prototype created last semester will be used as the starting point featuring collaborative filtering and electronic agent technology pioneered at the Media Lab This course focuses on development of online spaces as part of an interdependent human environment including physical architectures mapped work processes and social political dimensions A cross disciplinary approach will be taken students with background in architecture urban planning law cognition business digita http://ocw.mit.edu/courses/architecture/4-285-research-topics-in-architecture-citizen-centered-design-of-open-governance-systems-fall-2002 http://ocw.mit.edu/courses/architecture/4-285-research-topics-in-architecture-citizen-centered-design-of-open-governance-systems-fall-2002 6.02 Introduction to EECS II: Digital Communication Systems (MIT) 6.02 Introduction to EECS II: Digital Communication Systems (MIT) Includes audio video content AV lectures An introduction to several fundamental ideas in electrical engineering and computer science using digital communication systems as the vehicle The three parts of the course bits signals and packets cover three corresponding layers of abstraction that form the basis of communication systems like the Internet The course teaches ideas that are useful in other parts of EECS abstraction probabilistic analysis superposition time and frequency domain representations system design principles and trade offs and centralized and distributed algorithms The course emphasizes connections between theoretical concepts and practice using programming tasks and some experiments with real world communication channels Includes audio video content AV lectures An introduction to several fundamental ideas in electrical engineering and computer science using digital communication systems as the vehicle The three parts of the course bits signals and packets cover three corresponding layers of abstraction that form the basis of communication systems like the Internet The course teaches ideas that are useful in other parts of EECS abstraction probabilistic analysis superposition time and frequency domain representations system design principles and trade offs and centralized and distributed algorithms The course emphasizes connections between theoretical concepts and practice using programming tasks and some experiments with real world communication channels http://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-02-introduction-to-eecs-ii-digital-communication-systems-fall-2012 http://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-02-introduction-to-eecs-ii-digital-communication-systems-fall-2012 6.011 Introduction to Communication, Control, and Signal Processing (MIT) 6.011 Introduction to Communication, Control, and Signal Processing (MIT) This course examines signals systems and inference as unifying themes in communication control and signal processing Topics include input output and state space models of linear systems driven by deterministic and random signals time and transform domain representations in discrete and continuous time group delay state feedback and observers probabilistic models stochastic processes correlation functions power spectra spectral factorization least mean square error estimation Wiener filtering hypothesis testing detection matched filters This course examines signals systems and inference as unifying themes in communication control and signal processing Topics include input output and state space models of linear systems driven by deterministic and random signals time and transform domain representations in discrete and continuous time group delay state feedback and observers probabilistic models stochastic processes correlation functions power spectra spectral factorization least mean square error estimation Wiener filtering hypothesis testing detection matched filters http://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-011-introduction-to-communication-control-and-signal-processing-spring-2010 http://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-011-introduction-to-communication-control-and-signal-processing-spring-2010 6.661 Receivers, Antennas, and Signals (MIT) This course explores the detection and measurement of radio and optical signals encountered in communications astronomy remote sensing instrumentation and radar Topics covered include statistical analysis of signal processing systems including radiometers spectrometers interferometers and digital correlation systems matched filters and ambiguity functions communications channel performance measurement of random electromagnetic fields angular filtering properties of antennas interferometers and aperture synthesis systems and radiative transfer and parameter estimation https://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-661-receivers-antennas-and-signals-spring-2003 https://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-661-receivers-antennas-and-signals-spring-2003 DG3535 Applications of Signal Processing and Conditioning This unit is designed to enable candidates to know understand and apply a number of signal processing techniques to the solution of filtering and control problems for implementation on a digital signal processor DSP microprocessor or microcontroller based system Outcome 1 has been written to introduce the principles of sampling and reconstruction and through practical experiment deduce the requirement for anti aliasing and reconstruction filters Outcome 2 then introduces a variety of approaches to digital filtering and includes integration and differentiation which are required later Outcome 3 applies signal processing techniques to three term control On completion of this unit candidates should be able to 1 demonstrate an understanding of the process of signal sampling and it http://hdl.handle.net/10949/18325 http://hdl.handle.net/10949/18325 6.003 Signals and Systems (MIT) This course covers fundamentals of signal and system analysis with applications drawn from filtering audio and image processing communications and automatic control Topics include convolution Fourier series and transforms sampling and discrete time processing of continuous time signals modulation Laplace and Z transforms and feedback systems https://dspace.mit.edu/handle/1721.1/60965 https://dspace.mit.edu/handle/1721.1/60965 HST.582J Biomedical Signal and Image Processing (MIT) HST.582J Biomedical Signal and Image Processing (MIT) This course presents the fundamentals of digital signal processing with particular emphasis on problems in biomedical research and clinical medicine It covers principles and algorithms for processing both deterministic and random signals Topics include data acquisition imaging filtering coding feature extraction and modeling The focus of the course is a series of labs that provide practical experience in processing physiological data with examples from cardiology speech processing and medical imaging The labs are done in MATLAB during weekly lab sessions that take place in an electronic classroom Lectures cover signal processing topics relevant to the lab exercises as well as background on the biological signals processed in the labs This course presents the fundamentals of digital signal processing with particular emphasis on problems in biomedical research and clinical medicine It covers principles and algorithms for processing both deterministic and random signals Topics include data acquisition imaging filtering coding feature extraction and modeling The focus of the course is a series of labs that provide practical experience in processing physiological data with examples from cardiology speech processing and medical imaging The labs are done in MATLAB during weekly lab sessions that take place in an electronic classroom Lectures cover signal processing topics relevant to the lab exercises as well as background on the biological signals processed in the labs http://ocw.mit.edu/courses/health-sciences-and-technology/hst-582j-biomedical-signal-and-image-processing-spring-2007 http://ocw.mit.edu/courses/health-sciences-and-technology/hst-582j-biomedical-signal-and-image-processing-spring-2007 6.011 Introduction to Communication, Control, and Signal Processing (MIT) 6.011 Introduction to Communication, Control, and Signal Processing (MIT) This course is taken mainly by undergraduates and explores ideas involving signals systems and probabilistic models in the context of communication control and signal processing applications The material expands out from the basics in 6 003 and 6 041 The treatment involves aspects of analysis synthesis and optimization Topics covered differ somewhat from semester to semester but typically include random processes correlations spectral densities state space modeling multirate processing signal estimation and detection This course is taken mainly by undergraduates and explores ideas involving signals systems and probabilistic models in the context of communication control and signal processing applications The material expands out from the basics in 6 003 and 6 041 The treatment involves aspects of analysis synthesis and optimization Topics covered differ somewhat from semester to semester but typically include random processes correlations spectral densities state space modeling multirate processing signal estimation and detection http://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-011-introduction-to-communication-control-and-signal-processing-spring-2004-spring-2005 http://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-011-introduction-to-communication-control-and-signal-processing-spring-2004-spring-2005 MAS.160 Signals, Systems, and Information for Media Technology (MIT) MAS.160 Signals, Systems, and Information for Media Technology (MIT) Fundamentals of signals and information theory with emphasis on modeling audio visual messages and physiologically derived signals and the human source or recipient Linear systems difference equations Z transforms sampling and sampling rate conversion convolution filtering modulation Fourier analysis entropy noise Shannon s fundamental theorems Additional topics may include data compression filter design and feature detection Meets with graduate subjects MAS 510 MAS 511 but assignments differ Fundamentals of signals and information theory with emphasis on modeling audio visual messages and physiologically derived signals and the human source or recipient Linear systems difference equations Z transforms sampling and sampling rate conversion convolution filtering modulation Fourier analysis entropy noise Shannon s fundamental theorems Additional topics may include data compression filter design and feature detection Meets with graduate subjects MAS 510 MAS 511 but assignments differ http://dspace.mit.edu/handle/1721.1/49532 http://dspace.mit.edu/handle/1721.1/49532 6.551J Acoustics of Speech and Hearing (MIT) 6.551J Acoustics of Speech and Hearing (MIT) The Acoustics of Speech and Hearing is an H Level graduate course that reviews the physical processes involved in the production propagation and reception of human speech Particular attention is paid to how the acoustics and mechanics of the speech and auditory system define what sounds we are capable of producing and what sounds we can sense Areas of discussion include the acoustic cues used in determining the direction of a sound source the acoustic and mechanical mechanisms involved in speech production and the acoustic and mechanical mechanism used to transduce and analyze sounds in the ear The Acoustics of Speech and Hearing is an H Level graduate course that reviews the physical processes involved in the production propagation and reception of human speech Particular attention is paid to how the acoustics and mechanics of the speech and auditory system define what sounds we are capable of producing and what sounds we can sense Areas of discussion include the acoustic cues used in determining the direction of a sound source the acoustic and mechanical mechanisms involved in speech production and the acoustic and mechanical mechanism used to transduce and analyze sounds in the ear http://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-551j-acoustics-of-speech-and-hearing-fall-2004 http://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-551j-acoustics-of-speech-and-hearing-fall-2004 MAS.160 Signals, Systems and Information for Media Technology (MIT) MAS.160 Signals, Systems and Information for Media Technology (MIT) This class teaches the fundamentals of signals and information theory with emphasis on modeling audio visual messages and physiologically derived signals and the human source or recipient Topics include linear systems difference equations Z transforms sampling and sampling rate conversion convolution filtering modulation Fourier analysis entropy noise and Shannon s fundamental theorems Additional topics may include data compression filter design and feature detection The undergraduate subject MAS 160 meets with the two half semester graduate subjects MAS 510 and MAS 511 but assignments differ This class teaches the fundamentals of signals and information theory with emphasis on modeling audio visual messages and physiologically derived signals and the human source or recipient Topics include linear systems difference equations Z transforms sampling and sampling rate conversion convolution filtering modulation Fourier analysis entropy noise and Shannon s fundamental theorems Additional topics may include data compression filter design and feature detection The undergraduate subject MAS 160 meets with the two half semester graduate subjects MAS 510 and MAS 511 but assignments differ http://ocw.mit.edu/courses/media-arts-and-sciences/mas-160-signals-systems-and-information-for-media-technology-fall-2007 http://ocw.mit.edu/courses/media-arts-and-sciences/mas-160-signals-systems-and-information-for-media-technology-fall-2007 MAS.622J Pattern Recognition and Analysis (MIT) MAS.622J Pattern Recognition and Analysis (MIT) This class deals with the fundamentals of characterizing and recognizing patterns and features of interest in numerical data We discuss the basic tools and theory for signal understanding problems with applications to user modeling affect recognition speech recognition and understanding computer vision physiological analysis and more We also cover decision theory statistical classification maximum likelihood and Bayesian estimation nonparametric methods unsupervised learning and clustering Additional topics on machine and human learning from active research are also talked about in the class This class deals with the fundamentals of characterizing and recognizing patterns and features of interest in numerical data We discuss the basic tools and theory for signal understanding problems with applications to user modeling affect recognition speech recognition and understanding computer vision physiological analysis and more We also cover decision theory statistical classification maximum likelihood and Bayesian estimation nonparametric methods unsupervised learning and clustering Additional topics on machine and human learning from active research are also talked about in the class http://ocw.mit.edu/courses/media-arts-and-sciences/mas-622j-pattern-recognition-and-analysis-fall-2006 http://ocw.mit.edu/courses/media-arts-and-sciences/mas-622j-pattern-recognition-and-analysis-fall-2006 13.49 Maneuvering and Control of Surface and Underwater Vehicles (MIT) Maneuvering motions of surface and underwater vehicles Derivation of equations of motion hydrodynamic coefficients Memory effects Linear and nonlinear forms of the equations of motion Control surfaces modeling and design Engine propulsor and transmission systems modeling and simulation during maneuvering Stability of motion Principles of multivariable automatic control Optimal control Kalman filtering loop transfer recovery Applications chosen from autopilots for surface vehicles towing in open seas remotely operated vehicles https://dspace.mit.edu/handle/1721.1/35260 https://dspace.mit.edu/handle/1721.1/35260 6.637 Optical Signals, Devices, and Systems (MIT) 6.637 Optical Signals, Devices, and Systems (MIT) 6 637 covers the fundamentals of optical signals and modern optical devices and systems from a practical point of view Its goal is to help students develop a thorough understanding of the underlying physical principles such that device and system design and performance can be predicted analyzed and understood Most optical systems involve the use of one or more of the following sources e g lasers and light emitting diodes light modulation components e g liquid crystal light modulators transmission media e g free space or fibers photodetectors e g photodiodes photomultiplier tubes information storage devices e g optical disk processing systems e g imaging and spatial filtering systems and displays LCOS microdisplays These are the topics covered by this 6 637 covers the fundamentals of optical signals and modern optical devices and systems from a practical point of view Its goal is to help students develop a thorough understanding of the underlying physical principles such that device and system design and performance can be predicted analyzed and understood Most optical systems involve the use of one or more of the following sources e g lasers and light emitting diodes light modulation components e g liquid crystal light modulators transmission media e g free space or fibers photodetectors e g photodiodes photomultiplier tubes information storage devices e g optical disk processing systems e g imaging and spatial filtering systems and displays LCOS microdisplays These are the topics covered by this http://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-637-optical-signals-devices-and-systems-spring-2003 http://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-637-optical-signals-devices-and-systems-spring-2003 6.161 Modern Optics Project Laboratory (MIT) 6 161 explores modern optics through lectures laboratory exercises and projects Topics covered include polarization properties of light reflection and refraction coherence and interference Fraunhofer and Fresnel diffraction imaging and transforming properties of lenses spatial filtering coherent optical processors holography optical properties of materials lasers nonlinear optics electro optic and acousto optic materials and devices optical detectors fiber optics and optical communication This course is worth 12 Engineering Design Points https://dspace.mit.edu/handle/1721.1/35265 https://dspace.mit.edu/handle/1721.1/35265 MAS.962 Digital Typography (MIT) MAS.962 Digital Typography (MIT) This class introduces studies in the algorithmic manipulation of type as word symbol and form Problems covered will include semantic filtering inherently unstable letterforms and spoken letters The history and traditions of typography and their entry into the digital age will be studied Weekly assignments using Java will explore new ways of looking at and manipulating type This class introduces studies in the algorithmic manipulation of type as word symbol and form Problems covered will include semantic filtering inherently unstable letterforms and spoken letters The history and traditions of typography and their entry into the digital age will be studied Weekly assignments using Java will explore new ways of looking at and manipulating type http://ocw.mit.edu/courses/media-arts-and-sciences/mas-962-digital-typography-fall-1997 http://ocw.mit.edu/courses/media-arts-and-sciences/mas-962-digital-typography-fall-1997 Lecture 15: Linear Functionals Lecture 15: Linear Functionals Topics covered Linear functionals and filtering of random processesInstructors Prof Robert Gallager Prof Lizhong ZhengTranscript PDFSubtitles SRTThumbnail JPG OCW Video download Internet Archive MP4 Video download iTunes U MP4 Video stream VideoLectures net Video stream YouTube CC BY NC SA Topics covered Linear functionals and filtering of random processesInstructors Prof Robert Gallager Prof Lizhong ZhengTranscript PDFSubtitles SRTThumbnail JPG OCW Video download Internet Archive MP4 Video download iTunes U MP4 Video stream VideoLectures net Video stream YouTube CC BY NC SA http://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-450-principles-of-digital-communications-i-fall-2006/video-lectures/lecture-15-linear-functionals http://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-450-principles-of-digital-communications-i-fall-2006/video-lectures/lecture-15-linear-functionals 12.864 Inference from Data and Models (MIT) 12.864 Inference from Data and Models (MIT) This course covers the fundamental methods used for exploring the information content of observations related to kinematical and dynamical models This course covers the fundamental methods used for exploring the information content of observations related to kinematical and dynamical models http://ocw.mit.edu/courses/earth-atmospheric-and-planetary-sciences/12-864-inference-from-data-and-models-spring-2005 http://ocw.mit.edu/courses/earth-atmospheric-and-planetary-sciences/12-864-inference-from-data-and-models-spring-2005 6.551J Acoustics of Speech and Hearing (MIT) The Acoustics of Speech and Hearing is an H Level graduate course that reviews the physical processes involved in the production propagation and reception of human speech Particular attention is paid to how the acoustics and mechanics of the speech and auditory system define what sounds we are capable of producing and what sounds we can sense Areas of discussion include the acoustic cues used in determining the direction of a sound source the acoustic and mechanical mechanisms involved in speech production and the acoustic and mechanical mechanism used to transduce and analyze sounds in the ear https://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-551j-acoustics-of-speech-and-hearing-fall-2004 https://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-551j-acoustics-of-speech-and-hearing-fall-2004 MAS.160 Signals, Systems and Information for Media Technology (MIT) This class teaches the fundamentals of signals and information theory with emphasis on modeling audio visual messages and physiologically derived signals and the human source or recipient Topics include linear systems difference equations Z transforms sampling and sampling rate conversion convolution filtering modulation Fourier analysis entropy noise and Shannon s fundamental theorems Additional topics may include data compression filter design and feature detection The undergraduate subject MAS 160 meets with the two half semester graduate subjects MAS 510 and MAS 511 but assignments differ https://ocw.mit.edu/courses/media-arts-and-sciences/mas-160-signals-systems-and-information-for-media-technology-fall-2007 https://ocw.mit.edu/courses/media-arts-and-sciences/mas-160-signals-systems-and-information-for-media-technology-fall-2007 MAS.622J Pattern Recognition and Analysis (MIT) This class deals with the fundamentals of characterizing and recognizing patterns and features of interest in numerical data We discuss the basic tools and theory for signal understanding problems with applications to user modeling affect recognition speech recognition and understanding computer vision physiological analysis and more We also cover decision theory statistical classification maximum likelihood and Bayesian estimation nonparametric methods unsupervised learning and clustering Additional topics on machine and human learning from active research are also talked about in the class https://ocw.mit.edu/courses/media-arts-and-sciences/mas-622j-pattern-recognition-and-analysis-fall-2006 https://ocw.mit.edu/courses/media-arts-and-sciences/mas-622j-pattern-recognition-and-analysis-fall-2006 MAS.160 Signals, Systems, and Information for Media Technology (MIT) Fundamentals of signals and information theory with emphasis on modeling audio visual messages and physiologically derived signals and the human source or recipient Linear systems difference equations Z transforms sampling and sampling rate conversion convolution filtering modulation Fourier analysis entropy noise Shannon s fundamental theorems Additional topics may include data compression filter design and feature detection Meets with graduate subjects MAS 510 MAS 511 but assignments differ https://dspace.mit.edu/handle/1721.1/49532 https://dspace.mit.edu/handle/1721.1/49532 MAS.962 Digital Typography (MIT) This class introduces studies in the algorithmic manipulation of type as word symbol and form Problems covered will include semantic filtering inherently unstable letterforms and spoken letters The history and traditions of typography and their entry into the digital age will be studied Weekly assignments using Java will explore new ways of looking at and manipulating type https://ocw.mit.edu/courses/media-arts-and-sciences/mas-962-digital-typography-fall-1997 https://ocw.mit.edu/courses/media-arts-and-sciences/mas-962-digital-typography-fall-1997 Manage Excel Data Effectively Using Lists - Learning Package This is the packaged learning material Discover how to use Lists to organise summarise and analyse your Excel data to reveal its meanings This learning activity contains practical advice and demonstrations of data analysis techniques It includes a set of interactive tasks and questions to use as a test so you can be sure you understand the material http://dspace.jorum.ac.uk/xmlui/handle/10949/7203 http://dspace.jorum.ac.uk/xmlui/handle/10949/7203 Manage Excel Data Effectively Using Lists - Raw Materials These are the raw materials for the learning package The raw materials have been provided so the materials can be edited and re purposed Discover how to use Lists to organise summarise and analyse your Excel data to reveal its meanings This learning activity contains practical advice and demonstrations of data analysis techniques It includes a set of interactive tasks and questions to use as a test so you can be sure you understand the material http://dspace.jorum.ac.uk/xmlui/handle/10949/7204 http://dspace.jorum.ac.uk/xmlui/handle/10949/7204 Moodle2-filtering your courses in the course overview page A video showing how to use basic filters for your Moodle2 course http://dspace.jorum.ac.uk/xmlui/handle/10949/16225 http://dspace.jorum.ac.uk/xmlui/handle/10949/16225 Filtering course information in Moodle2 A PDF guide to organising and ordering your Moodle2 courses http://dspace.jorum.ac.uk/xmlui/handle/10949/16242 http://dspace.jorum.ac.uk/xmlui/handle/10949/16242 MATLAB. Fonaments i/o aplicacions Part I Fundamentals The objectives are 1 Present MATLAB and SIMULINK Learn how to use this software in the programme subjects 2 To get the basic knowledge necessary to work with both packages with complete autonomy Part II Applications The objectives are 1 To get more insight into MATLAB and SIMULINK while presenting and developing more advanced applications such as spectral analysis optimal estimation and Kalman filtering data transmission digital filters system identification and real time control application program interface neural networks and biomedicine Each student will work in a subject of their own interest http://ocw.upc.edu/curs_publicat/29429 http://ocw.upc.edu/curs_publicat/29429 12.864 Inference from Data and Models (MIT) This course covers the fundamental methods used for exploring the information content of observations related to kinematical and dynamical models https://ocw.mit.edu/courses/earth-atmospheric-and-planetary-sciences/12-864-inference-from-data-and-models-spring-2005 https://ocw.mit.edu/courses/earth-atmospheric-and-planetary-sciences/12-864-inference-from-data-and-models-spring-2005 4.285 Research Topics in Architecture: Citizen-Centered Design of Open Governance Systems (MIT) In this seminar students will design and perfect a digital environment to house the activities of large scale organizations of people making bottom up decisions such as with citizen government affairs voting corporate shareholders or voting members of global non profits and labor unions A working Open Source prototype created last semester will be used as the starting point featuring collaborative filtering and electronic agent technology pioneered at the Media Lab This course focuses on development of online spaces as part of an interdependent human environment including physical architectures mapped work processes and social political dimensions A cross disciplinary approach will be taken students with background in architecture urban planning law cognition business digita https://ocw.mit.edu/courses/architecture/4-285-research-topics-in-architecture-citizen-centered-design-of-open-governance-systems-fall-2002 https://ocw.mit.edu/courses/architecture/4-285-research-topics-in-architecture-citizen-centered-design-of-open-governance-systems-fall-2002