Adapted Compressed Sensing for Effective Hardware Implementations

A Design Flow for Signal-Level Optimization of Compressed Sensing Stages

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Éditeur :

Springer


Paru le : 2017-07-14



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Description

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.
Pages
319 pages
Collection
n.c
Parution
2017-07-14
Marque
Springer
EAN papier
9783319613727
EAN PDF
9783319613734

Informations sur l'ebook
Nombre pages copiables
3
Nombre pages imprimables
31
Taille du fichier
11643 Ko
Prix
94,94 €
EAN EPUB
9783319613734

Informations sur l'ebook
Nombre pages copiables
3
Nombre pages imprimables
31
Taille du fichier
7547 Ko
Prix
94,94 €

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