Adapted Compressed Sensing for Effective Hardware Implementations A Design Flow for Signal-Level Optimization of Compressed Sensing Stages /

• Main Authors: Mangia, Mauro (Author, http://id.loc.gov/vocabulary/relators/aut), Pareschi, Fabio (http://id.loc.gov/vocabulary/relators/aut), Cambareri, Valerio (http://id.loc.gov/vocabulary/relators/aut), Rovatti, Riccardo (http://id.loc.gov/vocabulary/relators/aut), Setti, Gianluca (http://id.loc.gov/vocabulary/relators/aut)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: Cham : Springer International Publishing : Imprint: Springer, 2018.
• Edition: 1st ed. 2018.
• Subjects: Electronic circuits.; Signal processing.; Image processing.; Speech processing systems.; Electronics.; Microelectronics.; Circuits and Systems.; Signal, Image and Speech Processing.; Electronics and Microelectronics, Instrumentation.

This book describes algorithmic methods and hardware implementations that aim to help realize the promise of Compressed Sensing (CS), namely the ability to reconstruct high-dimensional signals from a properly chosen low-dimensional "portrait". The authors describe a design flow and some lo...

Table of Contents:

• Chapter 1. Introduction to Compressed Sensing: Fundamentals and Guarantees
• Chapter 2.How (Well) Compressed Sensing Works in Practice
• Chapter 3. From Universal to Adapted Acquisition: Rake that Signal!
• Chapter 4.The Rakeness Problem with Implementation and Complexity Constraints
• Chapter 5.Generating Raking Matrices: a Fascinating Second-Order Problem
• Chapter 6.Architectures for Compressed Sensing
• Chapter 7.Analog-to-information Conversion
• Chapter 8.Low-complexity Biosignal Compression using Compressed Sensing
• Chapter 9.Security at the analog-to-information interface using Compressed Sensing.