Adapted Compressed Sensing for Effective Hardware Implementations A Design Flow for Signal-Level Optimization of Compressed Sensing Stages /
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 lo...
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| Médium: | Elektronický zdroj E-kniha |
| Jazyk: | angličtina |
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Cham :
Springer International Publishing,
2018.
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| Vydání: | 1st ed. 2018. |
| Témata: | |
| ISBN: | 9783319613734 |
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| LEADER | 00000nam a22000005i 4500 | ||
|---|---|---|---|
| 003 | SK-BrCVT | ||
| 005 | 20220618114728.0 | ||
| 007 | cr nn 008mamaa | ||
| 008 | 170714s2018 gw | s |||| 0|eng d | ||
| 020 | |a 9783319613734 | ||
| 024 | 7 | |a 10.1007/978-3-319-61373-4 |2 doi | |
| 035 | |a CVTIDW06427 | ||
| 040 | |a Springer-Nature |b eng |c CVTISR |e AACR2 | ||
| 041 | |a eng | ||
| 100 | 1 | |a Mangia, Mauro. |4 aut | |
| 245 | 1 | 0 | |a Adapted Compressed Sensing for Effective Hardware Implementations |h [electronic resource] : |b A Design Flow for Signal-Level Optimization of Compressed Sensing Stages / |c by Mauro Mangia, Fabio Pareschi, Valerio Cambareri, Riccardo Rovatti, Gianluca Setti. |
| 250 | |a 1st ed. 2018. | ||
| 260 | 1 | |a Cham : |b Springer International Publishing, |c 2018. | |
| 300 | |a XIV, 319 p. 180 illus., 142 illus. in color. |b online resource. | ||
| 500 | |a Engineering | ||
| 505 | 0 | |a Chapter 1. Introduction to Compressed Sensing: Fundamentals and Guarantees -- Chapter 2.How (Well) Compressed Sensing Works in Practice -- Chapter 3. From Universal to Adapted Acquisition: Rake that Signal! -- Chapter 4.The Rakeness Problem with Implementation and Complexity Constraints -- Chapter 5.Generating Raking Matrices: a Fascinating Second-Order Problem -- Chapter 6.Architectures for Compressed Sensing -- Chapter 7.Analog-to-information Conversion -- Chapter 8.Low-complexity Biosignal Compression using Compressed Sensing -- Chapter 9.Security at the analog-to-information interface using Compressed Sensing. | |
| 516 | |a text file PDF | ||
| 520 | |a 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. | ||
| 650 | 0 | |a Electronic circuits. | |
| 650 | 0 | |a Signal processing. | |
| 650 | 0 | |a Image processing. | |
| 650 | 0 | |a Speech processing systems. | |
| 650 | 0 | |a Electronics. | |
| 650 | 0 | |a Microelectronics. | |
| 856 | 4 | 0 | |u http://hanproxy.cvtisr.sk/han/cvti-ebook-springer-eisbn-978-3-319-61373-4 |y Vzdialený prístup pre registrovaných používateľov |
| 910 | |b ZE03707 | ||
| 919 | |a 978-3-319-61373-4 | ||
| 974 | |a andrea.lebedova |f Elektronické zdroje | ||
| 992 | |a SUD | ||
| 999 | |c 271935 |d 271935 | ||