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Statistical Physics and Approximate Message-passing Algorithms for Sparse Linear Estimation Problems in Signal Processing and Coding Theory
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Authors: Jean Barbier (physicien).)
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This thesis is interested in the application of statistical physics methods and inference to signal processing and coding theory, more precisely, to sparse line
Approximate Message Passing Algorithms for Compressed Sensing
Language: en
Pages: 311
Authors: Mohammad Ali Maleki
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Type: BOOK - Published: 2010 - Publisher: Stanford University

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Compressed sensing refers to a growing body of techniques that `undersample' high-dimensional signals and yet recover them accurately. Such techniques make fewe
Adaptive Signal Processing
Language: en
Pages: 206
Authors: L.D. Davisson
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Type: BOOK - Published: 2014-05-04 - Publisher: Springer

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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
Turbo Message Passing Algorithms for Structured Signal Recovery
Language: en
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Authors: Xiaojun Yuan
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This book takes a comprehensive study on turbo message passing algorithms for structured signal recovery, where the considered structured signals include 1) a s
Linear Estimation and Detection in Krylov Subspaces
Language: en
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Authors: Guido K. E. Dietl
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Type: BOOK - Published: 2007-06-15 - Publisher: Springer Science & Business Media

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This book focuses linear estimation theory, which is essential for effective signal processing. The first section offers a comprehensive overview of key methods