| 000 | 03967nam a22005655i 4500 | ||
|---|---|---|---|
| 001 | 978-3-319-61373-4 | ||
| 003 | DE-He213 | ||
| 005 | 20220801222704.0 | ||
| 007 | cr nn 008mamaa | ||
| 008 | 170714s2018 sz | s |||| 0|eng d | ||
| 020 |
_a9783319613734 _9978-3-319-61373-4 |
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| 024 | 7 |
_a10.1007/978-3-319-61373-4 _2doi |
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| 050 | 4 | _aTK7867-7867.5 | |
| 072 | 7 |
_aTJFC _2bicssc |
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_aTEC008010 _2bisacsh |
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| 072 | 7 |
_aTJFC _2thema |
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| 082 | 0 | 4 |
_a621.3815 _223 |
| 100 | 1 |
_aMangia, Mauro. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut _962812 |
|
| 245 | 1 | 0 |
_aAdapted Compressed Sensing for Effective Hardware Implementations _h[electronic resource] : _bA Design Flow for Signal-Level Optimization of Compressed Sensing Stages / _cby Mauro Mangia, Fabio Pareschi, Valerio Cambareri, Riccardo Rovatti, Gianluca Setti. |
| 250 | _a1st ed. 2018. | ||
| 264 | 1 |
_aCham : _bSpringer International Publishing : _bImprint: Springer, _c2018. |
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| 300 |
_aXIV, 319 p. 180 illus., 142 illus. in color. _bonline resource. |
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| 336 |
_atext _btxt _2rdacontent |
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| 337 |
_acomputer _bc _2rdamedia |
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| 338 |
_aonline resource _bcr _2rdacarrier |
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| 347 |
_atext file _bPDF _2rda |
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| 505 | 0 | _aChapter 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. | |
| 520 | _aThis 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 |
_aElectronic circuits. _919581 |
|
| 650 | 0 |
_aSignal processing. _94052 |
|
| 650 | 0 |
_aElectronics. _93425 |
|
| 650 | 1 | 4 |
_aElectronic Circuits and Systems. _962813 |
| 650 | 2 | 4 |
_aSignal, Speech and Image Processing . _931566 |
| 650 | 2 | 4 |
_aElectronics and Microelectronics, Instrumentation. _932249 |
| 700 | 1 |
_aPareschi, Fabio. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut _962814 |
|
| 700 | 1 |
_aCambareri, Valerio. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut _962815 |
|
| 700 | 1 |
_aRovatti, Riccardo. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut _962816 |
|
| 700 | 1 |
_aSetti, Gianluca. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut _962817 |
|
| 710 | 2 |
_aSpringerLink (Online service) _962818 |
|
| 773 | 0 | _tSpringer Nature eBook | |
| 776 | 0 | 8 |
_iPrinted edition: _z9783319613727 |
| 776 | 0 | 8 |
_iPrinted edition: _z9783319613741 |
| 776 | 0 | 8 |
_iPrinted edition: _z9783319870656 |
| 856 | 4 | 0 | _uhttps://doi.org/10.1007/978-3-319-61373-4 |
| 912 | _aZDB-2-ENG | ||
| 912 | _aZDB-2-SXE | ||
| 942 | _cEBK | ||
| 999 |
_c81048 _d81048 |
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