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Language: en
Pages: 0
Pages: 0
Type: BOOK - Published: 2015 - Publisher:
This thesis is interested in the application of statistical physics methods and inference to signal processing and coding theory, more precisely, to sparse line
Language: en
Pages: 311
Pages: 311
Type: BOOK - Published: 2010 - Publisher: Stanford University
Compressed sensing refers to a growing body of techniques that `undersample' high-dimensional signals and yet recover them accurately. Such techniques make fewe
Language: en
Pages: 206
Pages: 206
Type: BOOK - Published: 2014-05-04 - Publisher: Springer
The four chapters of this volume, written by prominent workers in the field of adaptive processing and linear prediction, address a variety of problems, ranging
Language: en
Pages: 105
Pages: 105
Type: BOOK - Published: 2020-10-13 - Publisher: Springer Nature
This book takes a comprehensive study on turbo message passing algorithms for structured signal recovery, where the considered structured signals include 1) a s
Language: en
Pages: 238
Pages: 238
Type: BOOK - Published: 2007-06-15 - Publisher: Springer Science & Business Media
This book focuses linear estimation theory, which is essential for effective signal processing. The first section offers a comprehensive overview of key methods