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Eldar, Yonina C.; Kutyniok, Gitta; 作者

Cambridge University Press

译者

2012-6-29 出版日期

558 页数

USD 108.00 价格

Hardcover

丛书系列

9781107005587 图书编码

Compressed Sensing 在线电子书图书标签: 数学压缩感知计算机科学压缩感知-稀疏表示-矩阵分解机器学习计算机科普压缩

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Compressed Sensing 在线电子书 epub 下载 mobi 下载 pdf 下载 txt 下载 2024

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Compressed Sensing 在线电子书 pdf 下载 txt下载 epub 下载 mobi 在线电子书下载

Compressed Sensing 在线电子书图书描述

Compressed sensing is an exciting, rapidly growing field, attracting considerable attention in electrical engineering, applied mathematics, statistics and computer science. This book provides the first detailed introduction to the subject, highlighting recent theoretical advances and a range of applications, as well as outlining numerous remaining research challenges. After a thorough review of the basic theory, many cutting-edge techniques are presented, including advanced signal modeling, sub-Nyquist sampling of analog signals, non-asymptotic analysis of random matrices, adaptive sensing, greedy algorithms and use of graphical models. All chapters are written by leading researchers in the field, and consistent style and notation are utilized throughout. Key background information and clear definitions make this an ideal resource for researchers, graduate students and practitioners wanting to join this exciting research area. It can also serve as a supplementary textbook for courses on computer vision, coding theory, signal processing, image processing and algorithms for efficient data processing.

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1.Introduction to compressed sensing Mark A. Davenport, Marco F. Duarte, Yonina C. Eldar and Gitta Kutyniok; 2.Second generation sparse modeling: structured and collaborative signal analysis Alexey Castrodad, Ignacio Ramirez, Guillermo Sapiro, Pablo Sprechm...

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