Introduction to Compressed Sensing with Coding Theoretic Perspective

Lee, Heung-no

CRC Pr I Llc（2017/02発売）

• 製本 Hardcover:ハードカバー版／ページ数 250 p.
• 言語 ENG
• 商品コード 9781498710305
• DDC分類 004

Full Description

This book introduces the topic of compressed sensing (CS), which is a new signal acquisition paradigm wherein taking signal samples could be faster than the traditional approach. CS will bring changes to radars, communications, and image and signal processing and thus reshape many modern electrical and electronic systems. The author has used this text in graduate courses for electrical engineering and computer science students.

Contents

Introduction. Review of Shannon Theory. Compressed Sensing Theory. Eigenvalue Distribution of Wishart Matrices. Information Theoretic Compressed Sensing Results. Sparse Signal Recovery Algorithms I: Greedy and Convex Approaches. Sparse Signal Recovery Algorithms II: Bayesian Approaches on Graph Models. Sensing Matrices. Some Applications of Compressed Sensing. Review of Some Mathematical Results.