Isbn: 9783030547615 - turbo message passing algorithms for structured signal recovery (12 risultati)

PF. Condizione: New.

Condizione: New. In English.

Condizione: New. 2020th edition NO-PA16APR2015-KAP.

Paperback. Condizione: Brand New. 120 pages. 9.25x6.10x0.29 inches. In Stock.

Taschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book takes a comprehensive study on turbo message passing algorithms for structured signal recovery, where theconsidered 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 theARM 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.…

Taschenbuch. Condizione: Neu. Turbo Message Passing Algorithms for Structured Signal Recovery | Xiaojun Yuan (u. a.) | Taschenbuch | SpringerBriefs in Computer Science | xi | Englisch | 2020 | Springer | EAN 9783030547615 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu. …

Condizione: new. Questo è un articolo print on demand.

Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book takes a comprehensive study on turbo message passing algorithms for structured signal recovery, where theconsidered 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 theARM 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 120 pp. Englisch.…

Condizione: New. Print on Demand.

Condizione: New. PRINT ON DEMAND.

Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Dr. Xiaojun Yuan received the Ph.D. degree in Electrical Engineering from the City University of Hong Kong in 2008. From 2009 to 2011, he was a research fellow at the Department of Electronic Engineering, the City University of Hong Kong. He was also a .…

Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -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 visionSpringer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 120 pp. Englisch.…