Adapted Compressed Sensing for Effective Hardware Implementations - A Design Flow for Signal-Level Optimization of Compressed Sensing Stages (Hardcover, 1st ed. 2018)

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.

General

Imprint:	Springer International Publishing AG
Country of origin:	Switzerland
Release date:	July 2017
First published:	2018
Authors:	Mauro Mangia • Fabio Pareschi • Valerio Cambareri • Riccardo Rovatti • Gianluca Setti
Dimensions:	235 x 155mm (L x W)
Format:	Hardcover
Pages:	319
Edition:	1st ed. 2018
ISBN-13:	978-3-319-61372-7
Categories:	Books > Computing & IT > Applications of computing > Signal processing Books > Professional & Technical > Electronics & communications engineering > Communications engineering / telecommunications > General Books > Professional & Technical > Electronics & communications engineering > Electronics engineering > Applied optics > General Promotions
LSN:	3-319-61372-3
Barcode:	9783319613727

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