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This course provides a broad theoretical basis for system identification, estimation, and learning. Students will study least squares estimation and its convergence properties, Kalman filters, noise dynamics and system representation, function approximation theory, neural nets, radial basis functions, wavelets, Volterra expansions, informative data sets, persistent excitation, asymptotic variance, central limit theorems, model structure selection, system order estimate, maximum likelihood, unbiased estimates, Cramer-Rao lower bound, Kullback-Leibler information distance, Akaike's information criterion, experiment design, and model validation. This course provides a broad theoretical basis for system identification, estimation, and learning. Students will study least squares estimation and its convergence properties, Kalman filters, noise dynamics and system representation, function approximation theory, neural nets, radial basis functions, wavelets, Volterra expansions, informative data sets, persistent excitation, asymptotic variance, central limit theorems, model structure selection, system order estimate, maximum likelihood, unbiased estimates, Cramer-Rao lower bound, Kullback-Leibler information distance, Akaike's information criterion, experiment design, and model validation.

Content within individual OCW courses is (c) by the individual authors unless otherwise noted. MIT OpenCourseWare materials are licensed by the Massachusetts Institute of Technology under a Creative Commons License (Attribution-NonCommercial-ShareAlike). For further information see http://ocw.mit.edu/terms/index.htm

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This course provides a broad theoretical basis for system identification, estimation, and learning. Students will study least squares estimation and its convergence properties, Kalman filters, noise dynamics and system representation, function approximation theory, neural nets, radial basis functions, wavelets, Volterra expansions, informative data sets, persistent excitation, asymptotic variance, central limit theorems, model structure selection, system order estimate, maximum likelihood, unbiased estimates, Cramer-Rao lower bound, Kullback-Leibler information distance, Akaike's information criterion, experiment design, and model validation.

Content within individual OCW courses is (c) by the individual authors unless otherwise noted. MIT OpenCourseWare materials are licensed by the Massachusetts Institute of Technology under a Creative Commons License (Attribution-NonCommercial-ShareAlike). For further information see https://ocw.mit.edu/terms/index.htm

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View of crew?s messroom on ?Nicola? the first SD14 to be built by Austin & Pickersgill at the Southwick shipyard, Sunderland (TWAM ref. DT.TUR/4/3732R). This set celebrates the ?Nicola?, the first in a long line of standard ships designed by the Sunderland shipyard of Austin & Pickersgill Ltd. The images document her construction from October 1967 through to her completion in February 1968. The shipbuilders commissioned the Newcastle-based firm Turners (Photography) Ltd to take weekly progress shots of the ?Nicola? and these images have given us a unique view of her development. She was the first SD14 to be completed (the name stands for ?Shelter Deck 14,000 tons deadweight?) and was designed as a replacement for the surviving ?Liberty ships?, built by American yards during the Second World War. Those Liberty ships had played a vital role in the Allied victory but by the 1960s they were fast approaching the end of their working lives. The SD14 developed by Austin & Pickersgill met the demand for economic and reliable cargo ships. The simplicity of the design meant that it could be marketed by the shipbuilders at a very competitive price. It?s success is reflected by the fact that over the course of 20 years 211 ships were built to the SD14 design by Austin Pickersgill and its licensees. Sunderland can be very proud of its remarkable shipbuilding and engineering history and the SD14 is one the City?s finest achievements. (Copyright) We're happy for you to share these digital images within the spirit of The Commons. Please cite 'Tyne & Wear Archives & Museums' when reusing. Certain restrictions on high quality reproductions and commercial use of the original physical version apply though; if you're unsure please email archives@twmuseums.org.uk

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This photograph shows a 74" reflector built by Grubb Parsons in Newcastle upon Tyne on display for the Festival of Britain, 1951 (TWAM ref. DS.GP). The telescope was manufactured for the Mount Stromlo Observatory near Canberra, Australia. This photograph is taken from the Grubb Parsons Ltd collection at Tyne & Wear Archives. The records of Grubb Parsons Ltd, Newcastle upon Tyne, England, consist of 65 linear metres (213 linear feet) of files, plans, photographs and glass plate negatives relating to this internationally renowned firm's manufacture of precision telescopic instruments. The original Business was founded in the early nineteenth century by Thomas Grubb, in 1925 the company was acquired by Sir Charles Parsons and continued to manufacture Telescopic and Astronomical instruments until 1985. This image is taken from a large collection that documents the work of Grubb Parsons Ltd at their workshop in Walkergate, Newcastle upon Tyne. It was here that Grubb Parsons Ltd manufactured Telescopic and Astronomical equipment for companies and observatories world wide. Their equipment was designed and built for use and research across the Globe, to name only a few of these locations Grubb Parsons Ltd supplied to the UK, Switzerland, Denmark, Egypt, South Africa, Greece, Australia, Japan, India, Hawaii, Poland, Chile, Canada, France and Spain. (Copyright) We're happy for you to share these digital images within the spirit of The Commons. Please cite 'Tyne & Wear Archives & Museums' when reusing. Certain restrictions on high quality reproductions and commercial use of the original physical version apply though; if you're unsure please email archives@twmuseums.org.uk