Compressive sensing for wireless networks:
Compressive sensing is a new signal processing paradigm that aims to encode sparse signals by using far lower sampling rates than those in the traditional Nyquist approach. It helps acquire, store, fuse and process large data sets efficiently and accurately. This method, which links data acquisition...
Gespeichert in:
Beteilige Person: | |
---|---|
Weitere beteiligte Personen: | , |
Format: | E-Book |
Sprache: | Englisch |
Veröffentlicht: |
Cambridge
Cambridge University Press
2013
|
Links: | https://doi.org/10.1017/CBO9781139088497 |
Zusammenfassung: | Compressive sensing is a new signal processing paradigm that aims to encode sparse signals by using far lower sampling rates than those in the traditional Nyquist approach. It helps acquire, store, fuse and process large data sets efficiently and accurately. This method, which links data acquisition, compression, dimensionality reduction and optimization, has attracted significant attention from researchers and engineers in various areas. This comprehensive reference develops a unified view on how to incorporate efficiently the idea of compressive sensing over assorted wireless network scenarios, interweaving concepts from signal processing, optimization, information theory, communications and networking to address the issues in question from an engineering perspective. It enables students, researchers and communications engineers to develop a working knowledge of compressive sensing, including background on the basics of compressive sensing theory, an understanding of its benefits and limitations, and the skills needed to take advantage of compressive sensing in wireless networks. |
Umfang: | 1 Online-Ressource (xiv, 293 Seiten) |
ISBN: | 9781139088497 |
Internformat
MARC
LEADER | 00000nam a2200000 i 4500 | ||
---|---|---|---|
001 | ZDB-20-CTM-CR9781139088497 | ||
003 | UkCbUP | ||
005 | 20151019150147.0 | ||
006 | m|||||o||d|||||||| | ||
007 | cr|||||||||||| | ||
008 | 110519s2013||||enk o ||1 0|eng|d | ||
020 | |a 9781139088497 | ||
100 | 1 | |a Han, Zhu |d 1974- | |
245 | 1 | 0 | |a Compressive sensing for wireless networks |c Zhu Han, University of Houston, USA, Husheng Li, University of Tennessee, USA, Wotao Yin, Rice University, USA |
264 | 1 | |a Cambridge |b Cambridge University Press |c 2013 | |
300 | |a 1 Online-Ressource (xiv, 293 Seiten) | ||
336 | |b txt | ||
337 | |b c | ||
338 | |b cr | ||
520 | |a Compressive sensing is a new signal processing paradigm that aims to encode sparse signals by using far lower sampling rates than those in the traditional Nyquist approach. It helps acquire, store, fuse and process large data sets efficiently and accurately. This method, which links data acquisition, compression, dimensionality reduction and optimization, has attracted significant attention from researchers and engineers in various areas. This comprehensive reference develops a unified view on how to incorporate efficiently the idea of compressive sensing over assorted wireless network scenarios, interweaving concepts from signal processing, optimization, information theory, communications and networking to address the issues in question from an engineering perspective. It enables students, researchers and communications engineers to develop a working knowledge of compressive sensing, including background on the basics of compressive sensing theory, an understanding of its benefits and limitations, and the skills needed to take advantage of compressive sensing in wireless networks. | ||
700 | 1 | |a Li, Husheng |d 1975- | |
700 | 1 | |a Yin, Wotao | |
776 | 0 | 8 | |i Erscheint auch als |n Druck-Ausgabe |z 9781107018839 |
966 | 4 | 0 | |l DE-91 |p ZDB-20-CTM |q TUM_PDA_CTM |u https://doi.org/10.1017/CBO9781139088497 |3 Volltext |
912 | |a ZDB-20-CTM | ||
912 | |a ZDB-20-CTM | ||
049 | |a DE-91 |
Datensatz im Suchindex
DE-BY-TUM_katkey | ZDB-20-CTM-CR9781139088497 |
---|---|
_version_ | 1821494618901970944 |
adam_text | |
any_adam_object | |
author | Han, Zhu 1974- |
author2 | Li, Husheng 1975- Yin, Wotao |
author2_role | |
author2_variant | h l hl w y wy |
author_facet | Han, Zhu 1974- Li, Husheng 1975- Yin, Wotao |
author_role | |
author_sort | Han, Zhu 1974- |
author_variant | z h zh |
building | Verbundindex |
bvnumber | localTUM |
collection | ZDB-20-CTM |
format | eBook |
fullrecord | <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01941nam a2200265 i 4500</leader><controlfield tag="001">ZDB-20-CTM-CR9781139088497</controlfield><controlfield tag="003">UkCbUP</controlfield><controlfield tag="005">20151019150147.0</controlfield><controlfield tag="006">m|||||o||d||||||||</controlfield><controlfield tag="007">cr||||||||||||</controlfield><controlfield tag="008">110519s2013||||enk o ||1 0|eng|d</controlfield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9781139088497</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Han, Zhu</subfield><subfield code="d">1974-</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Compressive sensing for wireless networks</subfield><subfield code="c">Zhu Han, University of Houston, USA, Husheng Li, University of Tennessee, USA, Wotao Yin, Rice University, USA</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">Cambridge</subfield><subfield code="b">Cambridge University Press</subfield><subfield code="c">2013</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">1 Online-Ressource (xiv, 293 Seiten)</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="b">txt</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="b">c</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="b">cr</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Compressive sensing is a new signal processing paradigm that aims to encode sparse signals by using far lower sampling rates than those in the traditional Nyquist approach. It helps acquire, store, fuse and process large data sets efficiently and accurately. This method, which links data acquisition, compression, dimensionality reduction and optimization, has attracted significant attention from researchers and engineers in various areas. This comprehensive reference develops a unified view on how to incorporate efficiently the idea of compressive sensing over assorted wireless network scenarios, interweaving concepts from signal processing, optimization, information theory, communications and networking to address the issues in question from an engineering perspective. It enables students, researchers and communications engineers to develop a working knowledge of compressive sensing, including background on the basics of compressive sensing theory, an understanding of its benefits and limitations, and the skills needed to take advantage of compressive sensing in wireless networks.</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Li, Husheng</subfield><subfield code="d">1975-</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Yin, Wotao</subfield></datafield><datafield tag="776" ind1="0" ind2="8"><subfield code="i">Erscheint auch als</subfield><subfield code="n">Druck-Ausgabe</subfield><subfield code="z">9781107018839</subfield></datafield><datafield tag="966" ind1="4" ind2="0"><subfield code="l">DE-91</subfield><subfield code="p">ZDB-20-CTM</subfield><subfield code="q">TUM_PDA_CTM</subfield><subfield code="u">https://doi.org/10.1017/CBO9781139088497</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-20-CTM</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-20-CTM</subfield></datafield><datafield tag="049" ind1=" " ind2=" "><subfield code="a">DE-91</subfield></datafield></record></collection> |
id | ZDB-20-CTM-CR9781139088497 |
illustrated | Not Illustrated |
indexdate | 2025-01-17T11:17:15Z |
institution | BVB |
isbn | 9781139088497 |
language | English |
open_access_boolean | |
owner | DE-91 DE-BY-TUM |
owner_facet | DE-91 DE-BY-TUM |
physical | 1 Online-Ressource (xiv, 293 Seiten) |
psigel | ZDB-20-CTM TUM_PDA_CTM ZDB-20-CTM |
publishDate | 2013 |
publishDateSearch | 2013 |
publishDateSort | 2013 |
publisher | Cambridge University Press |
record_format | marc |
spelling | Han, Zhu 1974- Compressive sensing for wireless networks Zhu Han, University of Houston, USA, Husheng Li, University of Tennessee, USA, Wotao Yin, Rice University, USA Cambridge Cambridge University Press 2013 1 Online-Ressource (xiv, 293 Seiten) txt c cr Compressive sensing is a new signal processing paradigm that aims to encode sparse signals by using far lower sampling rates than those in the traditional Nyquist approach. It helps acquire, store, fuse and process large data sets efficiently and accurately. This method, which links data acquisition, compression, dimensionality reduction and optimization, has attracted significant attention from researchers and engineers in various areas. This comprehensive reference develops a unified view on how to incorporate efficiently the idea of compressive sensing over assorted wireless network scenarios, interweaving concepts from signal processing, optimization, information theory, communications and networking to address the issues in question from an engineering perspective. It enables students, researchers and communications engineers to develop a working knowledge of compressive sensing, including background on the basics of compressive sensing theory, an understanding of its benefits and limitations, and the skills needed to take advantage of compressive sensing in wireless networks. Li, Husheng 1975- Yin, Wotao Erscheint auch als Druck-Ausgabe 9781107018839 |
spellingShingle | Han, Zhu 1974- Compressive sensing for wireless networks |
title | Compressive sensing for wireless networks |
title_auth | Compressive sensing for wireless networks |
title_exact_search | Compressive sensing for wireless networks |
title_full | Compressive sensing for wireless networks Zhu Han, University of Houston, USA, Husheng Li, University of Tennessee, USA, Wotao Yin, Rice University, USA |
title_fullStr | Compressive sensing for wireless networks Zhu Han, University of Houston, USA, Husheng Li, University of Tennessee, USA, Wotao Yin, Rice University, USA |
title_full_unstemmed | Compressive sensing for wireless networks Zhu Han, University of Houston, USA, Husheng Li, University of Tennessee, USA, Wotao Yin, Rice University, USA |
title_short | Compressive sensing for wireless networks |
title_sort | compressive sensing for wireless networks |
work_keys_str_mv | AT hanzhu compressivesensingforwirelessnetworks AT lihusheng compressivesensingforwirelessnetworks AT yinwotao compressivesensingforwirelessnetworks |