Modern Signal Processing / / Xian-Da Zhang.
The book systematically introduces theories of frequently-used modern signal processing methods and technologies, and focuses discussions on stochastic signal, parameter estimation, modern spectral estimation, adaptive filter, high-order signal analysis and non-linear transformation in time-domain s...
Saved in:
Superior document: | Title is part of eBook package: De Gruyter DG Plus DeG Package 2023 Part 1 |
---|---|
VerfasserIn: | |
MitwirkendeR: | |
Place / Publishing House: | Berlin ;, Boston : : De Gruyter, , [2022] ©2023 |
Year of Publication: | 2022 |
Language: | English |
Series: | De Gruyter STEM
|
Online Access: | |
Physical Description: | 1 online resource (XIV, 587 p.) |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
id |
9783110475562 |
---|---|
ctrlnum |
(DE-B1597)465908 (OCoLC)1351749457 |
collection |
bib_alma |
record_format |
marc |
spelling |
Zhang, Xian-Da, author. aut http://id.loc.gov/vocabulary/relators/aut Modern Signal Processing / Xian-Da Zhang. Berlin ; Boston : De Gruyter, [2022] ©2023 1 online resource (XIV, 587 p.) text txt rdacontent computer c rdamedia online resource cr rdacarrier text file PDF rda De Gruyter STEM Frontmatter -- Acknowledgements -- Contents -- 1 Random Signals -- 2 Parameter Estimation Theory -- 3 Signal Detection -- 4 Modern Spectral Estimation -- 5 Adaptive Filter -- 6 Higher-Order Statistical Analysis -- 7 Linear Time-Frequency Transform -- 8 Quadratic Time-frequency Distribution -- 9 Blind Signal Separation -- 10 Array Signal Processing -- Index -- Bibliography restricted access http://purl.org/coar/access_right/c_16ec online access with authorization star The book systematically introduces theories of frequently-used modern signal processing methods and technologies, and focuses discussions on stochastic signal, parameter estimation, modern spectral estimation, adaptive filter, high-order signal analysis and non-linear transformation in time-domain signal analysis. With abundant exercises, the book is an essential reference for graduate students in electrical engineering and information science. Issued also in print. Mode of access: Internet via World Wide Web. In English. Description based on online resource; title from PDF title page (publisher's Web site, viewed 29. Mai 2023) Technology & Engineering / Signals & Signal Processing. bisacsh Chang, Dongxia, contributor. ctb https://id.loc.gov/vocabulary/relators/ctb Tsinghua University Press, contributor. ctb https://id.loc.gov/vocabulary/relators/ctb Wang, Xiyuan, contributor. ctb https://id.loc.gov/vocabulary/relators/ctb Zhang, Daoming, contributor. ctb https://id.loc.gov/vocabulary/relators/ctb Zhang, Ling, contributor. ctb https://id.loc.gov/vocabulary/relators/ctb Title is part of eBook package: De Gruyter DG Plus DeG Package 2023 Part 1 9783111175782 Title is part of eBook package: De Gruyter EBOOK PACKAGE COMPLETE 2022 English 9783110993899 Title is part of eBook package: De Gruyter EBOOK PACKAGE COMPLETE 2022 9783110994810 ZDB-23-DGG Title is part of eBook package: De Gruyter EBOOK PACKAGE Engineering, Computer Sciences 2022 English 9783110994223 Title is part of eBook package: De Gruyter EBOOK PACKAGE Engineering, Computer Sciences 2022 9783110994193 ZDB-23-DEI EPUB 9783110475661 print 9783110475555 https://doi.org/10.1515/9783110475562 https://www.degruyter.com/isbn/9783110475562 Cover https://www.degruyter.com/document/cover/isbn/9783110475562/original |
language |
English |
format |
eBook |
author |
Zhang, Xian-Da, Zhang, Xian-Da, |
spellingShingle |
Zhang, Xian-Da, Zhang, Xian-Da, Modern Signal Processing / De Gruyter STEM Frontmatter -- Acknowledgements -- Contents -- 1 Random Signals -- 2 Parameter Estimation Theory -- 3 Signal Detection -- 4 Modern Spectral Estimation -- 5 Adaptive Filter -- 6 Higher-Order Statistical Analysis -- 7 Linear Time-Frequency Transform -- 8 Quadratic Time-frequency Distribution -- 9 Blind Signal Separation -- 10 Array Signal Processing -- Index -- Bibliography |
author_facet |
Zhang, Xian-Da, Zhang, Xian-Da, Chang, Dongxia, Chang, Dongxia, Tsinghua University Press, Tsinghua University Press, Wang, Xiyuan, Wang, Xiyuan, Zhang, Daoming, Zhang, Daoming, Zhang, Ling, Zhang, Ling, |
author_variant |
x d z xdz x d z xdz |
author_role |
VerfasserIn VerfasserIn |
author2 |
Chang, Dongxia, Chang, Dongxia, Tsinghua University Press, Tsinghua University Press, Wang, Xiyuan, Wang, Xiyuan, Zhang, Daoming, Zhang, Daoming, Zhang, Ling, Zhang, Ling, |
author2_variant |
d c dc d c dc t u p tup t u p tup x w xw x w xw d z dz d z dz l z lz l z lz |
author2_role |
MitwirkendeR MitwirkendeR MitwirkendeR MitwirkendeR MitwirkendeR MitwirkendeR MitwirkendeR MitwirkendeR MitwirkendeR MitwirkendeR |
author_sort |
Zhang, Xian-Da, |
title |
Modern Signal Processing / |
title_full |
Modern Signal Processing / Xian-Da Zhang. |
title_fullStr |
Modern Signal Processing / Xian-Da Zhang. |
title_full_unstemmed |
Modern Signal Processing / Xian-Da Zhang. |
title_auth |
Modern Signal Processing / |
title_alt |
Frontmatter -- Acknowledgements -- Contents -- 1 Random Signals -- 2 Parameter Estimation Theory -- 3 Signal Detection -- 4 Modern Spectral Estimation -- 5 Adaptive Filter -- 6 Higher-Order Statistical Analysis -- 7 Linear Time-Frequency Transform -- 8 Quadratic Time-frequency Distribution -- 9 Blind Signal Separation -- 10 Array Signal Processing -- Index -- Bibliography |
title_new |
Modern Signal Processing / |
title_sort |
modern signal processing / |
series |
De Gruyter STEM |
series2 |
De Gruyter STEM |
publisher |
De Gruyter, |
publishDate |
2022 |
physical |
1 online resource (XIV, 587 p.) Issued also in print. |
contents |
Frontmatter -- Acknowledgements -- Contents -- 1 Random Signals -- 2 Parameter Estimation Theory -- 3 Signal Detection -- 4 Modern Spectral Estimation -- 5 Adaptive Filter -- 6 Higher-Order Statistical Analysis -- 7 Linear Time-Frequency Transform -- 8 Quadratic Time-frequency Distribution -- 9 Blind Signal Separation -- 10 Array Signal Processing -- Index -- Bibliography |
isbn |
9783110475562 9783111175782 9783110993899 9783110994810 9783110994223 9783110994193 9783110475661 9783110475555 |
url |
https://doi.org/10.1515/9783110475562 https://www.degruyter.com/isbn/9783110475562 https://www.degruyter.com/document/cover/isbn/9783110475562/original |
illustrated |
Not Illustrated |
dewey-hundreds |
600 - Technology |
dewey-tens |
620 - Engineering |
dewey-ones |
621 - Applied physics |
dewey-full |
621.3822 |
dewey-sort |
3621.3822 |
dewey-raw |
621.3822 |
dewey-search |
621.3822 |
doi_str_mv |
10.1515/9783110475562 |
oclc_num |
1351749457 |
work_keys_str_mv |
AT zhangxianda modernsignalprocessing AT changdongxia modernsignalprocessing AT tsinghuauniversitypress modernsignalprocessing AT wangxiyuan modernsignalprocessing AT zhangdaoming modernsignalprocessing AT zhangling modernsignalprocessing |
status_str |
n |
ids_txt_mv |
(DE-B1597)465908 (OCoLC)1351749457 |
carrierType_str_mv |
cr |
hierarchy_parent_title |
Title is part of eBook package: De Gruyter DG Plus DeG Package 2023 Part 1 Title is part of eBook package: De Gruyter EBOOK PACKAGE COMPLETE 2022 English Title is part of eBook package: De Gruyter EBOOK PACKAGE COMPLETE 2022 Title is part of eBook package: De Gruyter EBOOK PACKAGE Engineering, Computer Sciences 2022 English Title is part of eBook package: De Gruyter EBOOK PACKAGE Engineering, Computer Sciences 2022 |
is_hierarchy_title |
Modern Signal Processing / |
container_title |
Title is part of eBook package: De Gruyter DG Plus DeG Package 2023 Part 1 |
author2_original_writing_str_mv |
noLinkedField noLinkedField noLinkedField noLinkedField noLinkedField noLinkedField noLinkedField noLinkedField noLinkedField noLinkedField |
_version_ |
1806144419439575040 |
fullrecord |
<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>04336nam a22008055i 4500</leader><controlfield tag="001">9783110475562</controlfield><controlfield tag="003">DE-B1597</controlfield><controlfield tag="005">20230529101353.0</controlfield><controlfield tag="006">m|||||o||d||||||||</controlfield><controlfield tag="007">cr || ||||||||</controlfield><controlfield tag="008">230529t20222023gw fo d z eng d</controlfield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9783110475562</subfield></datafield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1515/9783110475562</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-B1597)465908</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(OCoLC)1351749457</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-B1597</subfield><subfield code="b">eng</subfield><subfield code="c">DE-B1597</subfield><subfield code="e">rda</subfield></datafield><datafield tag="041" ind1="0" ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="044" ind1=" " ind2=" "><subfield code="a">gw</subfield><subfield code="c">DE</subfield></datafield><datafield tag="072" ind1=" " ind2="7"><subfield code="a">TEC067000</subfield><subfield code="2">bisacsh</subfield></datafield><datafield tag="082" ind1="0" ind2="4"><subfield code="a">621.3822</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Zhang, Xian-Da, </subfield><subfield code="e">author.</subfield><subfield code="4">aut</subfield><subfield code="4">http://id.loc.gov/vocabulary/relators/aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Modern Signal Processing /</subfield><subfield code="c">Xian-Da Zhang.</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">Berlin ;</subfield><subfield code="a">Boston : </subfield><subfield code="b">De Gruyter, </subfield><subfield code="c">[2022]</subfield></datafield><datafield tag="264" ind1=" " ind2="4"><subfield code="c">©2023</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">1 online resource (XIV, 587 p.)</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">computer</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">online resource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="347" ind1=" " ind2=" "><subfield code="a">text file</subfield><subfield code="b">PDF</subfield><subfield code="2">rda</subfield></datafield><datafield tag="490" ind1="0" ind2=" "><subfield code="a">De Gruyter STEM</subfield></datafield><datafield tag="505" ind1="0" ind2="0"><subfield code="t">Frontmatter -- </subfield><subfield code="t">Acknowledgements -- </subfield><subfield code="t">Contents -- </subfield><subfield code="t">1 Random Signals -- </subfield><subfield code="t">2 Parameter Estimation Theory -- </subfield><subfield code="t">3 Signal Detection -- </subfield><subfield code="t">4 Modern Spectral Estimation -- </subfield><subfield code="t">5 Adaptive Filter -- </subfield><subfield code="t">6 Higher-Order Statistical Analysis -- </subfield><subfield code="t">7 Linear Time-Frequency Transform -- </subfield><subfield code="t">8 Quadratic Time-frequency Distribution -- </subfield><subfield code="t">9 Blind Signal Separation -- </subfield><subfield code="t">10 Array Signal Processing -- </subfield><subfield code="t">Index -- </subfield><subfield code="t">Bibliography</subfield></datafield><datafield tag="506" ind1="0" ind2=" "><subfield code="a">restricted access</subfield><subfield code="u">http://purl.org/coar/access_right/c_16ec</subfield><subfield code="f">online access with authorization</subfield><subfield code="2">star</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">The book systematically introduces theories of frequently-used modern signal processing methods and technologies, and focuses discussions on stochastic signal, parameter estimation, modern spectral estimation, adaptive filter, high-order signal analysis and non-linear transformation in time-domain signal analysis. With abundant exercises, the book is an essential reference for graduate students in electrical engineering and information science.</subfield></datafield><datafield tag="530" ind1=" " ind2=" "><subfield code="a">Issued also in print.</subfield></datafield><datafield tag="538" ind1=" " ind2=" "><subfield code="a">Mode of access: Internet via World Wide Web.</subfield></datafield><datafield tag="546" ind1=" " ind2=" "><subfield code="a">In English.</subfield></datafield><datafield tag="588" ind1="0" ind2=" "><subfield code="a">Description based on online resource; title from PDF title page (publisher's Web site, viewed 29. Mai 2023)</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Technology & Engineering / Signals & Signal Processing.</subfield><subfield code="2">bisacsh</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Chang, Dongxia, </subfield><subfield code="e">contributor.</subfield><subfield code="4">ctb</subfield><subfield code="4">https://id.loc.gov/vocabulary/relators/ctb</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Tsinghua University Press, </subfield><subfield code="e">contributor.</subfield><subfield code="4">ctb</subfield><subfield code="4">https://id.loc.gov/vocabulary/relators/ctb</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Wang, Xiyuan, </subfield><subfield code="e">contributor.</subfield><subfield code="4">ctb</subfield><subfield code="4">https://id.loc.gov/vocabulary/relators/ctb</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Zhang, Daoming, </subfield><subfield code="e">contributor.</subfield><subfield code="4">ctb</subfield><subfield code="4">https://id.loc.gov/vocabulary/relators/ctb</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Zhang, Ling, </subfield><subfield code="e">contributor.</subfield><subfield code="4">ctb</subfield><subfield code="4">https://id.loc.gov/vocabulary/relators/ctb</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">Title is part of eBook package:</subfield><subfield code="d">De Gruyter</subfield><subfield code="t">DG Plus DeG Package 2023 Part 1</subfield><subfield code="z">9783111175782</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">Title is part of eBook package:</subfield><subfield code="d">De Gruyter</subfield><subfield code="t">EBOOK PACKAGE COMPLETE 2022 English</subfield><subfield code="z">9783110993899</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">Title is part of eBook package:</subfield><subfield code="d">De Gruyter</subfield><subfield code="t">EBOOK PACKAGE COMPLETE 2022</subfield><subfield code="z">9783110994810</subfield><subfield code="o">ZDB-23-DGG</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">Title is part of eBook package:</subfield><subfield code="d">De Gruyter</subfield><subfield code="t">EBOOK PACKAGE Engineering, Computer Sciences 2022 English</subfield><subfield code="z">9783110994223</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">Title is part of eBook package:</subfield><subfield code="d">De Gruyter</subfield><subfield code="t">EBOOK PACKAGE Engineering, Computer Sciences 2022</subfield><subfield code="z">9783110994193</subfield><subfield code="o">ZDB-23-DEI</subfield></datafield><datafield tag="776" ind1="0" ind2=" "><subfield code="c">EPUB</subfield><subfield code="z">9783110475661</subfield></datafield><datafield tag="776" ind1="0" ind2=" "><subfield code="c">print</subfield><subfield code="z">9783110475555</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doi.org/10.1515/9783110475562</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://www.degruyter.com/isbn/9783110475562</subfield></datafield><datafield tag="856" ind1="4" ind2="2"><subfield code="3">Cover</subfield><subfield code="u">https://www.degruyter.com/document/cover/isbn/9783110475562/original</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">978-3-11-099389-9 EBOOK PACKAGE COMPLETE 2022 English</subfield><subfield code="b">2022</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">978-3-11-099422-3 EBOOK PACKAGE Engineering, Computer Sciences 2022 English</subfield><subfield code="b">2022</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">978-3-11-117578-2 DG Plus DeG Package 2023 Part 1</subfield><subfield code="b">2023</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">EBA_CL_CHCOMSGSEN</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">EBA_DGALL</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">EBA_EBKALL</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">EBA_ECL_CHCOMSGSEN</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">EBA_EEBKALL</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">EBA_ESTMALL</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">EBA_STMALL</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV-deGruyter-alles</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">PDA12STME</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">PDA13ENGE</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">PDA18STMEE</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">PDA5EBK</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-23-DEI</subfield><subfield code="b">2022</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-23-DGG</subfield><subfield code="b">2022</subfield></datafield></record></collection> |