Téléchargez le livre : Turbo Message Passing Algorithms for Structured Signal Recovery

Turbo Message Passing Algorithms for Structured Signal Recovery

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Éditeur :

Springer


Collection :

SpringerBriefs in Computer Science

Paru le : 2020-10-13

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Description

This book takes a comprehensive study on turbo message passing algorithms for structured signal recovery, where the considered structured signals include 1) a sparse vector/matrix (which corresponds to the compressed sensing (CS) problem), 2) a low-rank matrix (which corresponds to the affine rank minimization (ARM) problem), 3) a mixture of a sparse matrix and a low-rank matrix (which corresponds to the robust principal component analysis (RPCA) problem). The book is divided into three parts. First, the authors introduce a turbo message passing algorithm termed denoising-based Turbo-CS (D-Turbo-CS). Second, the authors introduce a turbo message passing (TMP) algorithm for solving the ARM problem. Third, the authors introduce a TMP algorithm for solving the RPCA problem which aims to recover a low-rank matrix and a sparse matrix from their compressed mixture. With this book, we wish to spur new researches on applying message passing to various inference problems. 



Provides an in depth look into turbo message passing algorithms for structured signal recoveryIncludes efficient iterative algorithmic solutions for inference, optimization, and satisfaction problems through message passingShows applications in areas such as wireless communications and computer vision
Pages
105 pages
Collection
SpringerBriefs in Computer Science
Parution
2020-10-13
Marque
Springer
EAN papier
9783030547615
EAN PDF
9783030547622
Informations sur l'ebook
Nombre pages copiables
1
Nombre pages imprimables
10
Taille du fichier
3185 Ko
Prix
63,29 €
EAN EPUB
9783030547622
Informations sur l'ebook
Nombre pages copiables
1
Nombre pages imprimables
10
Taille du fichier
9748 Ko
Prix
63,29 €

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