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

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...

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Bibliographic Details
Main Authors: Mangia, Mauro (Author), Pareschi, Fabio (Author), Cambareri, Valerio (Author), Rovatti, Riccardo (Author), Setti, Gianluca (Author)
Corporate Author: SpringerLink (Online service)
Format: e-Book
Language:English
Published: Cham : Springer International Publishing : 2018.
Imprint: Springer,
Edition:1st ed. 2018.
Subjects:
Electronic circuits.
Signal processing.
Electronics.
Electronic Circuits and Systems.
Signal, Speech and Image Processing.
Electronics and Microelectronics, Instrumentation.
Online Access:Full-text access
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.

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