ISBN: 9780080520834

This book is intended to serve as an invaluable reference for anyone concerned with the application of wavelets to signal processing. It has evolved from material used to teach "wavelet s… Plus…

This book is intended to serve as an invaluable reference for anyone concerned with the application of wavelets to signal processing. It has evolved from material used to teach "wavelet signal processing" courses in electrical engineering departments at Massachusetts Institute of Technology and Tel Aviv University, as well as applied mathematics departments at the Courant Institute of New York University and EcolePolytechnique in Paris.Key Features* Provides a broad perspective on the principles and applications of transient signal processing with wavelets* Emphasizes intuitive understanding, while providing the mathematical foundations and description of fast algorithms* Numerous examples of real applications to noise removal, deconvolution, audio and image compression, singularity and edge detection,multifractal analysis, and time-varying frequency measurements* Algorithms and numerical examples are implemented in Wavelab, which is a Matlab toolbox freely available over the Internet* Content is accessible on several level of complexity, depending on the individual reader's needsNew to the Second Edition* Optical flow calculation and video compression algorithms* Image models with bounded variation functions* Bayes and Minimax theories for signal estimation* 200 pages rewritten and most illustrations redrawn* More problems and topics for a graduate course in wavelet signal processing, in engineering and applied mathematics; PDF; Scientific, Technical and Medical > Electronics & communications engineering > Communications engine, Elsevier Science<

ISBN: 9780080520834

This book is intended to serve as an invaluable reference for anyone concerned with the application of wavelets to signal processing. It has evolved from material used to teach "wavelet s… Plus…

This book is intended to serve as an invaluable reference for anyone concerned with the application of wavelets to signal processing. It has evolved from material used to teach "wavelet signal processing" courses in electrical engineering departments at Massachusetts Institute of Technology and Tel Aviv University, as well as applied mathematics departments at the Courant Institute of New York University and EcolePolytechnique in Paris.Provides a broad perspective on the principles and applications of transient signal processing with waveletsEmphasizes intuitive understanding, while providing the mathematical foundations and description of fast algorithmsNumerous examples of real applications to noise removal, deconvolution, audio and image compression, singularity and edge detection, multifractal analysis, and time-varying frequency measurementsAlgorithms and numerical examples are implemented in Wavelab, which is a Matlab toolbox freely available over the InternetContent is accessible on several level of complexity, depending on the individual reader's needsNew to the Second EditionOptical flow calculation and video compression algorithmsImage models with bounded variation functionsBayes and Minimax theories for signal estimation200 pages rewritten and most illustrations redrawnMore problems and topics for a graduate course in wavelet signal processing, in engineering and applied mathematics; PDF; Education > Society & social sciences > Careers guidance > Industrial or vocational training, Elsevier Science<

1999, ISBN: 9780080520834

eBooks, eBook Download (PDF), Auflage, This book is intended to serve as an invaluable reference for anyone concerned with the application of wavelets to signal processing. It has evolved… Plus…

eBooks, eBook Download (PDF), Auflage, This book is intended to serve as an invaluable reference for anyone concerned with the application of wavelets to signal processing. It has evolved from material used to teach &quote;wavelet signal processing&quote; courses in electrical engineering departments at Massachusetts Institute of Technology and Tel Aviv University, as well as applied mathematics departments at the Courant Institute of New York University and EcolePolytechnique in Paris. Provides a broad perspective on the principles and applications of transient signal processing with wavelets Emphasizes intuitive understanding, while providing the mathematical foundations and description of fast algorithms Numerous examples of real applications to noise removal, deconvolution, audio and image compression, singularity and edge detection, multifractal analysis, and time-varying frequency measurements Algorithms and numerical examples are implemented in Wavelab, which is a Matlab toolbox freely available over the Internet Content is accessible on several level of complexity, depending on the individual reader's needs New to the Second Edition Optical flow calculation and video compression algorithms Image models with bounded variation functions Bayes and Minimax theories for signal estimation 200 pages rewritten and most illustrations redrawn More problems and topics for a graduate course in wavelet signal processing, in engineering and applied mathematics, [PU: Elsevier Science], Seiten: 620, Elsevier Science, 1999<

1999, ISBN: 9780080520834

Wavelet Tour of Signal Processing, eBooks, eBook Download (PDF), Auflage, [PU: Elsevier Trade Monographs], [ED: 2], Elsevier Trade Monographs, 1999

1999, ISBN: 9780080520834

eBooks, eBook Download (PDF), Auflage, [PU: Elsevier Science], [ED: 2], Elsevier Science, 1999