Sparse and Redundant Representations: From Theory to Applications in Signal and Image Processing
This textbook introduces sparse and redundant representations with a focus on applications in signal and image processing. Get and download textbook Sparse and Redundant Representations: From Theory to Applications in Signal and Image Processing for free
Sparse and Redundant Representations : From Theory to Applications in Signal and Image Processing, ISBN-13: 9781441970107, ISBN-10: 144197010X
The theoretical and numerical foundations are tackled before the applications are discussed. Mathematical modeling for signal sources is discussed along with how to use the proper model for tasks such as denoising, restoration, separation, interpolation and extrapolation, compression, sampling, analysis and synthesis, detection, recognition, and more. The presentation is elegant and engaging. Sparse and Redundant Representations is intended for graduate students in applied mathematics and electrical engineering, as well as applied mathematicians, engineers, and researchers who are active in the fields of signal and image Sparse and Redundant Representations new edition
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Sparse and redundant representations: From theory to applications in signal and image: Elad M.
author michael elad format hardback language english publication year 29 08 2010 subject mathematics sciences subject 2 mathematics title sparse and redundant representations from theory to applications in signal and image processing author haifa michael elad publisher springer verlag publication date oct 02 2010 pages 376 binding hardcover edition 1 st edition dimensions 6 25 wx 9 25 hx 1 00 d isbn 144197010 x subject mathematics general brand new hardcover all orders get full access to our o
This textbook introduces sparse and redundant representations with a focus on applications in signal and image processing. The theoretical and numerical foundations are tackled before the applications are discussed. Mathematical modeling for signal sources is discussed along with how to use the proper model for tasks such as denoising, restoration, separation, interpolation and extrapolation, compression, sampling, analysis and synthesis, detection, recognition, and more. The presentation is elegant and engaging.Sparse and Redundant Representations is intended for graduate students in applied
Store Search search Title, ISBN and Author Sparse and Redundant Representations: From Theory to Applications in Signal and Image Processing by Michael Elad Estimated delivery 4-14 business days Format Hardcover Condition Brand New This book introduces sparse and redundant representations with a focus on applications in signal and image processing. It details mathematical modeling for signal sources along with how to use the model for tasks such as denoising, restoration and separation. Publishe
Sparse and Redundant Representations Textbook
Sparse and Redundant Representations is intended for graduate students in applied mathematics and electrical engineering, as well as applied mathematicians, engineers, and researchers who are active in the fields of signal and image
