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Adapted Compressed Sensing for Effective Hardware Implementations

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

Language EnglishEnglish
Book Paperback
Book Adapted Compressed Sensing for Effective Hardware Implementations Mauro Mangia
Libristo code: 21375290
Publishers Springer International Publishing AG, August 2018
This book describes algorithmic methods and hardware implementations that aim to help realize the pr... Full description
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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.

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About the book

Full name Adapted Compressed Sensing for Effective Hardware Implementations
Language English
Binding Book - Paperback
Date of issue 2018
Number of pages 319
EAN 9783319870656
Libristo code 21375290
Weight 516
Dimensions 155 x 235 x 19
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