Adapted compressed sensing for effective hardware implementations : a design flow for signal-level optimization of compressed sensing stages

✍ Scribed by Cambareri, Valerio; Mangia, Mauro; Pareschi, Fabio; Rovatti, Riccardo; Setti, Gianluca

• Publisher: Springer
• Year: 2018
• Tongue: English
• Leaves: 329
• Category: Library

✦ Synopsis

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 low-resource physical realizations of sensing systems based on CS. They highlight the pros and cons of several design choices from a pragmatic point of view, and show how a lightweight and mild but effective form of adaptation to the target signals can be the key to consistent resource saving. The basic principle of the devised design flow can be applied to almost any CS-based sensing system, including analog-to-information converters, and has been proven to fit an extremely diverse set of applications. Many practical aspects required to put a CS-based sensing system to work are also addressed, including saturation, quantization, and leakage phenomena. Read more...

Abstract: 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 low-resource physical realizations of sensing systems based on CS. They highlight the pros and cons of several design choices from a pragmatic point of view, and show how a lightweight and mild but effective form of adaptation to the target signals can be the key to consistent resource saving. The basic principle of the devised design flow can be applied to almost any CS-based sensing system, including analog-to-information converters, and has been proven to fit an extremely diverse set of applications. Many practical aspects required to put a CS-based sensing system to work are also addressed, including saturation, quantization, and leakage phenomena

✦ Table of Contents

Front Matter....Pages i-xiv
Introduction to Compressed Sensing: Fundamentals and Guarantees....Pages 1-28
How (Well) Compressed Sensing Works in Practice....Pages 29-56
From Universal to Adapted Acquisition: Rake That Signal!....Pages 57-82
The Rakeness Problem with Implementation and Complexity Constraints....Pages 83-108
Generating Raking Matrices: A Fascinating Second-Order Problem....Pages 109-137
Architectures for Compressed Sensing....Pages 139-167
Analog-to-Information Conversion....Pages 169-210
Low-Complexity Biosignal Compression Using Compressed Sensing....Pages 211-254
Security at the Analog-to-Information Interface Using Compressed Sensing....Pages 255-319

✦ Subjects

Compressed sensing (Telecommunication);TECHNOLOGY & ENGINEERING / Mechanical