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Adapted Compressed Sensing for Effective Hardware Implementations

Language EnglishEnglish
Book Hardback
Book Adapted Compressed Sensing for Effective Hardware Implementations Mauro Mangia
Libristo code: 16335803
Publishers Springer International Publishing AG, July 2017
This book describes algorithmic methods and hardware implementations that aim to help realize the pr... Full description
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41 546 Ft
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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 low-resource physical realization of a sensing system, based on CS. They highlight pros and cons of different design choices from a pragmatic point of view, and show how a lightweight and mild, but effective form adaptation to the target signals can be the key to consistent resource saving. The basic principle of the design flow described can be applied to the design of almost any compressed-sensing-based system and has been proven with an extremely diversified set of applications. Many pragmatic aspects of putting a compressed-based system to work are addressed, such as saturation, quantization, leakage, etc.

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About the book

Full name Adapted Compressed Sensing for Effective Hardware Implementations
Author Mauro Mangia, Fabio Pareschi, Valerio Cambareri, Riccardo Rovatti, Gianluca Setti
Language English
Binding Book - Hardback
Date of issue 2017
Number of pages 319
EAN 9783319613727
ISBN 3319613723
Libristo code 16335803
Publishers Springer International Publishing AG
Weight 6269
Dimensions 155 x 235 x 23

Categories

Technology, Engineering, Agriculture > Other technologies & applied sciences > Applied optics > Imaging systems & technology
Technology, Engineering, Agriculture > Electronics & communications engineering > Communications engineering / telecommunications
Computing & Information Technology > Computer science > Signal processing
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