Store besparelser
Hurtig levering
Gemte
Log ind
0
Kurv
Kurv

Turbo Message Passing Algorithms for Structured Signal Recovery

Af: Xiaojun Yuan, Zhipeng Xue Engelsk Paperback

Turbo Message Passing Algorithms for Structured Signal Recovery

Af: Xiaojun Yuan, Zhipeng Xue Engelsk Paperback
Tjek vores konkurrenters priser

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 recovery
  • Includes efficient iterative algorithmic solutions for inference, optimization, and satisfaction problems through message passing
  • Shows applications in areas such as wireless communications and computer vision

Tjek vores konkurrenters priser
Normalpris
kr 573
Fragt: 39 kr
6 - 8 hverdage
20 kr
Pakkegebyr
God 4 anmeldelser på
Tjek vores konkurrenters priser

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 recovery
  • Includes efficient iterative algorithmic solutions for inference, optimization, and satisfaction problems through message passing
  • Shows applications in areas such as wireless communications and computer vision

Produktdetaljer
Sprog: Engelsk
Sider: 105
ISBN-13: 9783030547615
Indbinding: Paperback
Udgave:
ISBN-10: 3030547612
Kategori: Elektronik teknik
Udg. Dato: 14 okt 2020
Længde: 0mm
Bredde: 155mm
Højde: 235mm
Forlag: Springer Nature Switzerland AG
Oplagsdato: 14 okt 2020
Forfatter(e): Xiaojun Yuan, Zhipeng Xue
Forfatter(e) Xiaojun Yuan, Zhipeng Xue


Kategori Elektronik teknik


ISBN-13 9783030547615


Sprog Engelsk


Indbinding Paperback


Sider 105


Udgave


Længde 0mm


Bredde 155mm


Højde 235mm


Udg. Dato 14 okt 2020


Oplagsdato 14 okt 2020


Forlag Springer Nature Switzerland AG

Vi anbefaler også
Kategori sammenhænge