Variable Step-Size Diffusion Normalized Sign-Error Algorithm
Abstract In this paper, a novel diffusion estimation algorithm is proposed by combining the adapt-then-combine (ATC) diffusion NLMS (DNLMS) and the sign operation to the error signals at all agents. Due to using the sign operation, the proposed algorithm has a robust performance against impulsive no...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Wen, Pengwei [verfasserIn] |
|---|
| Format: |
Artikel |
|---|---|
| Sprache: |
Englisch |
| Erschienen: |
2018 |
|---|
| Schlagwörter: |
|---|
| Anmerkung: |
© Springer Science+Business Media, LLC, part of Springer Nature 2018 |
|---|
| Übergeordnetes Werk: |
Enthalten in: Circuits, systems and signal processing - Springer US, 1982, 37(2018), 11 vom: 09. März, Seite 4993-5004 |
|---|---|
| Übergeordnetes Werk: |
volume:37 ; year:2018 ; number:11 ; day:09 ; month:03 ; pages:4993-5004 |
| Links: |
|---|
| DOI / URN: |
10.1007/s00034-018-0797-5 |
|---|
| Katalog-ID: |
OLC2034853083 |
|---|
| LEADER | 01000caa a22002652 4500 | ||
|---|---|---|---|
| 001 | OLC2034853083 | ||
| 003 | DE-627 | ||
| 005 | 20230331224854.0 | ||
| 007 | tu | ||
| 008 | 200819s2018 xx ||||| 00| ||eng c | ||
| 024 | 7 | |a 10.1007/s00034-018-0797-5 |2 doi | |
| 035 | |a (DE-627)OLC2034853083 | ||
| 035 | |a (DE-He213)s00034-018-0797-5-p | ||
| 040 | |a DE-627 |b ger |c DE-627 |e rakwb | ||
| 041 | |a eng | ||
| 082 | 0 | 4 | |a 600 |q VZ |
| 100 | 1 | |a Wen, Pengwei |e verfasserin |4 aut | |
| 245 | 1 | 0 | |a Variable Step-Size Diffusion Normalized Sign-Error Algorithm |
| 264 | 1 | |c 2018 | |
| 336 | |a Text |b txt |2 rdacontent | ||
| 337 | |a ohne Hilfsmittel zu benutzen |b n |2 rdamedia | ||
| 338 | |a Band |b nc |2 rdacarrier | ||
| 500 | |a © Springer Science+Business Media, LLC, part of Springer Nature 2018 | ||
| 520 | |a Abstract In this paper, a novel diffusion estimation algorithm is proposed by combining the adapt-then-combine (ATC) diffusion NLMS (DNLMS) and the sign operation to the error signals at all agents. Due to using the sign operation, the proposed algorithm has a robust performance against impulsive noise. A variable step size is obtained by minimizing the mean-square deviation to achieve fast convergence rate and small steady-state error. Meanwhile, the proposed algorithm has a good tracking capability when the system suddenly changes. Simulations on system identifications demonstrate that the proposed diffusion algorithm shows a good performance under an impulsive noise scenario. | ||
| 650 | 4 | |a Diffusion strategy | |
| 650 | 4 | |a Sign-error algorithm | |
| 650 | 4 | |a Impulsive noise | |
| 700 | 1 | |a Zhang, Jiashu |4 aut | |
| 773 | 0 | 8 | |i Enthalten in |t Circuits, systems and signal processing |d Springer US, 1982 |g 37(2018), 11 vom: 09. März, Seite 4993-5004 |w (DE-627)130312134 |w (DE-600)588684-3 |w (DE-576)015889939 |x 0278-081X |7 nnns |
| 773 | 1 | 8 | |g volume:37 |g year:2018 |g number:11 |g day:09 |g month:03 |g pages:4993-5004 |
| 856 | 4 | 1 | |u https://doi.org/10.1007/s00034-018-0797-5 |z lizenzpflichtig |3 Volltext |
| 912 | |a GBV_USEFLAG_A | ||
| 912 | |a SYSFLAG_A | ||
| 912 | |a GBV_OLC | ||
| 912 | |a SSG-OLC-TEC | ||
| 912 | |a GBV_ILN_70 | ||
| 912 | |a GBV_ILN_2244 | ||
| 951 | |a AR | ||
| 952 | |d 37 |j 2018 |e 11 |b 09 |c 03 |h 4993-5004 | ||
| author_variant |
p w pw j z jz |
|---|---|
| matchkey_str |
article:0278081X:2018----::aibetpieifsonraiesg |
| hierarchy_sort_str |
2018 |
| publishDate |
2018 |
| allfields |
10.1007/s00034-018-0797-5 doi (DE-627)OLC2034853083 (DE-He213)s00034-018-0797-5-p DE-627 ger DE-627 rakwb eng 600 VZ Wen, Pengwei verfasserin aut Variable Step-Size Diffusion Normalized Sign-Error Algorithm 2018 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer Science+Business Media, LLC, part of Springer Nature 2018 Abstract In this paper, a novel diffusion estimation algorithm is proposed by combining the adapt-then-combine (ATC) diffusion NLMS (DNLMS) and the sign operation to the error signals at all agents. Due to using the sign operation, the proposed algorithm has a robust performance against impulsive noise. A variable step size is obtained by minimizing the mean-square deviation to achieve fast convergence rate and small steady-state error. Meanwhile, the proposed algorithm has a good tracking capability when the system suddenly changes. Simulations on system identifications demonstrate that the proposed diffusion algorithm shows a good performance under an impulsive noise scenario. Diffusion strategy Sign-error algorithm Impulsive noise Zhang, Jiashu aut Enthalten in Circuits, systems and signal processing Springer US, 1982 37(2018), 11 vom: 09. März, Seite 4993-5004 (DE-627)130312134 (DE-600)588684-3 (DE-576)015889939 0278-081X nnns volume:37 year:2018 number:11 day:09 month:03 pages:4993-5004 https://doi.org/10.1007/s00034-018-0797-5 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC GBV_ILN_70 GBV_ILN_2244 AR 37 2018 11 09 03 4993-5004 |
| spelling |
10.1007/s00034-018-0797-5 doi (DE-627)OLC2034853083 (DE-He213)s00034-018-0797-5-p DE-627 ger DE-627 rakwb eng 600 VZ Wen, Pengwei verfasserin aut Variable Step-Size Diffusion Normalized Sign-Error Algorithm 2018 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer Science+Business Media, LLC, part of Springer Nature 2018 Abstract In this paper, a novel diffusion estimation algorithm is proposed by combining the adapt-then-combine (ATC) diffusion NLMS (DNLMS) and the sign operation to the error signals at all agents. Due to using the sign operation, the proposed algorithm has a robust performance against impulsive noise. A variable step size is obtained by minimizing the mean-square deviation to achieve fast convergence rate and small steady-state error. Meanwhile, the proposed algorithm has a good tracking capability when the system suddenly changes. Simulations on system identifications demonstrate that the proposed diffusion algorithm shows a good performance under an impulsive noise scenario. Diffusion strategy Sign-error algorithm Impulsive noise Zhang, Jiashu aut Enthalten in Circuits, systems and signal processing Springer US, 1982 37(2018), 11 vom: 09. März, Seite 4993-5004 (DE-627)130312134 (DE-600)588684-3 (DE-576)015889939 0278-081X nnns volume:37 year:2018 number:11 day:09 month:03 pages:4993-5004 https://doi.org/10.1007/s00034-018-0797-5 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC GBV_ILN_70 GBV_ILN_2244 AR 37 2018 11 09 03 4993-5004 |
| allfields_unstemmed |
10.1007/s00034-018-0797-5 doi (DE-627)OLC2034853083 (DE-He213)s00034-018-0797-5-p DE-627 ger DE-627 rakwb eng 600 VZ Wen, Pengwei verfasserin aut Variable Step-Size Diffusion Normalized Sign-Error Algorithm 2018 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer Science+Business Media, LLC, part of Springer Nature 2018 Abstract In this paper, a novel diffusion estimation algorithm is proposed by combining the adapt-then-combine (ATC) diffusion NLMS (DNLMS) and the sign operation to the error signals at all agents. Due to using the sign operation, the proposed algorithm has a robust performance against impulsive noise. A variable step size is obtained by minimizing the mean-square deviation to achieve fast convergence rate and small steady-state error. Meanwhile, the proposed algorithm has a good tracking capability when the system suddenly changes. Simulations on system identifications demonstrate that the proposed diffusion algorithm shows a good performance under an impulsive noise scenario. Diffusion strategy Sign-error algorithm Impulsive noise Zhang, Jiashu aut Enthalten in Circuits, systems and signal processing Springer US, 1982 37(2018), 11 vom: 09. März, Seite 4993-5004 (DE-627)130312134 (DE-600)588684-3 (DE-576)015889939 0278-081X nnns volume:37 year:2018 number:11 day:09 month:03 pages:4993-5004 https://doi.org/10.1007/s00034-018-0797-5 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC GBV_ILN_70 GBV_ILN_2244 AR 37 2018 11 09 03 4993-5004 |
| allfieldsGer |
10.1007/s00034-018-0797-5 doi (DE-627)OLC2034853083 (DE-He213)s00034-018-0797-5-p DE-627 ger DE-627 rakwb eng 600 VZ Wen, Pengwei verfasserin aut Variable Step-Size Diffusion Normalized Sign-Error Algorithm 2018 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer Science+Business Media, LLC, part of Springer Nature 2018 Abstract In this paper, a novel diffusion estimation algorithm is proposed by combining the adapt-then-combine (ATC) diffusion NLMS (DNLMS) and the sign operation to the error signals at all agents. Due to using the sign operation, the proposed algorithm has a robust performance against impulsive noise. A variable step size is obtained by minimizing the mean-square deviation to achieve fast convergence rate and small steady-state error. Meanwhile, the proposed algorithm has a good tracking capability when the system suddenly changes. Simulations on system identifications demonstrate that the proposed diffusion algorithm shows a good performance under an impulsive noise scenario. Diffusion strategy Sign-error algorithm Impulsive noise Zhang, Jiashu aut Enthalten in Circuits, systems and signal processing Springer US, 1982 37(2018), 11 vom: 09. März, Seite 4993-5004 (DE-627)130312134 (DE-600)588684-3 (DE-576)015889939 0278-081X nnns volume:37 year:2018 number:11 day:09 month:03 pages:4993-5004 https://doi.org/10.1007/s00034-018-0797-5 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC GBV_ILN_70 GBV_ILN_2244 AR 37 2018 11 09 03 4993-5004 |
| allfieldsSound |
10.1007/s00034-018-0797-5 doi (DE-627)OLC2034853083 (DE-He213)s00034-018-0797-5-p DE-627 ger DE-627 rakwb eng 600 VZ Wen, Pengwei verfasserin aut Variable Step-Size Diffusion Normalized Sign-Error Algorithm 2018 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer Science+Business Media, LLC, part of Springer Nature 2018 Abstract In this paper, a novel diffusion estimation algorithm is proposed by combining the adapt-then-combine (ATC) diffusion NLMS (DNLMS) and the sign operation to the error signals at all agents. Due to using the sign operation, the proposed algorithm has a robust performance against impulsive noise. A variable step size is obtained by minimizing the mean-square deviation to achieve fast convergence rate and small steady-state error. Meanwhile, the proposed algorithm has a good tracking capability when the system suddenly changes. Simulations on system identifications demonstrate that the proposed diffusion algorithm shows a good performance under an impulsive noise scenario. Diffusion strategy Sign-error algorithm Impulsive noise Zhang, Jiashu aut Enthalten in Circuits, systems and signal processing Springer US, 1982 37(2018), 11 vom: 09. März, Seite 4993-5004 (DE-627)130312134 (DE-600)588684-3 (DE-576)015889939 0278-081X nnns volume:37 year:2018 number:11 day:09 month:03 pages:4993-5004 https://doi.org/10.1007/s00034-018-0797-5 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC GBV_ILN_70 GBV_ILN_2244 AR 37 2018 11 09 03 4993-5004 |
| language |
English |
| source |
Enthalten in Circuits, systems and signal processing 37(2018), 11 vom: 09. März, Seite 4993-5004 volume:37 year:2018 number:11 day:09 month:03 pages:4993-5004 |
| sourceStr |
Enthalten in Circuits, systems and signal processing 37(2018), 11 vom: 09. März, Seite 4993-5004 volume:37 year:2018 number:11 day:09 month:03 pages:4993-5004 |
| format_phy_str_mv |
Article |
| institution |
findex.gbv.de |
| topic_facet |
Diffusion strategy Sign-error algorithm Impulsive noise |
| dewey-raw |
600 |
| isfreeaccess_bool |
false |
| container_title |
Circuits, systems and signal processing |
| authorswithroles_txt_mv |
Wen, Pengwei @@aut@@ Zhang, Jiashu @@aut@@ |
| publishDateDaySort_date |
2018-03-09T00:00:00Z |
| hierarchy_top_id |
130312134 |
| dewey-sort |
3600 |
| id |
OLC2034853083 |
| language_de |
englisch |
| fullrecord |
<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a22002652 4500</leader><controlfield tag="001">OLC2034853083</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230331224854.0</controlfield><controlfield tag="007">tu</controlfield><controlfield tag="008">200819s2018 xx ||||| 00| ||eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1007/s00034-018-0797-5</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)OLC2034853083</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-He213)s00034-018-0797-5-p</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="082" ind1="0" ind2="4"><subfield code="a">600</subfield><subfield code="q">VZ</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Wen, Pengwei</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Variable Step-Size Diffusion Normalized Sign-Error Algorithm</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2018</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">ohne Hilfsmittel zu benutzen</subfield><subfield code="b">n</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Band</subfield><subfield code="b">nc</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a">© Springer Science+Business Media, LLC, part of Springer Nature 2018</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Abstract In this paper, a novel diffusion estimation algorithm is proposed by combining the adapt-then-combine (ATC) diffusion NLMS (DNLMS) and the sign operation to the error signals at all agents. Due to using the sign operation, the proposed algorithm has a robust performance against impulsive noise. A variable step size is obtained by minimizing the mean-square deviation to achieve fast convergence rate and small steady-state error. Meanwhile, the proposed algorithm has a good tracking capability when the system suddenly changes. Simulations on system identifications demonstrate that the proposed diffusion algorithm shows a good performance under an impulsive noise scenario.</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Diffusion strategy</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Sign-error algorithm</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Impulsive noise</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Zhang, Jiashu</subfield><subfield code="4">aut</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">Enthalten in</subfield><subfield code="t">Circuits, systems and signal processing</subfield><subfield code="d">Springer US, 1982</subfield><subfield code="g">37(2018), 11 vom: 09. März, Seite 4993-5004</subfield><subfield code="w">(DE-627)130312134</subfield><subfield code="w">(DE-600)588684-3</subfield><subfield code="w">(DE-576)015889939</subfield><subfield code="x">0278-081X</subfield><subfield code="7">nnns</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:37</subfield><subfield code="g">year:2018</subfield><subfield code="g">number:11</subfield><subfield code="g">day:09</subfield><subfield code="g">month:03</subfield><subfield code="g">pages:4993-5004</subfield></datafield><datafield tag="856" ind1="4" ind2="1"><subfield code="u">https://doi.org/10.1007/s00034-018-0797-5</subfield><subfield code="z">lizenzpflichtig</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_USEFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SYSFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_OLC</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SSG-OLC-TEC</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_70</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2244</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="d">37</subfield><subfield code="j">2018</subfield><subfield code="e">11</subfield><subfield code="b">09</subfield><subfield code="c">03</subfield><subfield code="h">4993-5004</subfield></datafield></record></collection>
|
| author |
Wen, Pengwei |
| spellingShingle |
Wen, Pengwei ddc 600 misc Diffusion strategy misc Sign-error algorithm misc Impulsive noise Variable Step-Size Diffusion Normalized Sign-Error Algorithm |
| authorStr |
Wen, Pengwei |
| ppnlink_with_tag_str_mv |
@@773@@(DE-627)130312134 |
| format |
Article |
| dewey-ones |
600 - Technology |
| delete_txt_mv |
keep |
| author_role |
aut aut |
| collection |
OLC |
| remote_str |
false |
| illustrated |
Not Illustrated |
| issn |
0278-081X |
| topic_title |
600 VZ Variable Step-Size Diffusion Normalized Sign-Error Algorithm Diffusion strategy Sign-error algorithm Impulsive noise |
| topic |
ddc 600 misc Diffusion strategy misc Sign-error algorithm misc Impulsive noise |
| topic_unstemmed |
ddc 600 misc Diffusion strategy misc Sign-error algorithm misc Impulsive noise |
| topic_browse |
ddc 600 misc Diffusion strategy misc Sign-error algorithm misc Impulsive noise |
| format_facet |
Aufsätze Gedruckte Aufsätze |
| format_main_str_mv |
Text Zeitschrift/Artikel |
| carriertype_str_mv |
nc |
| hierarchy_parent_title |
Circuits, systems and signal processing |
| hierarchy_parent_id |
130312134 |
| dewey-tens |
600 - Technology |
| hierarchy_top_title |
Circuits, systems and signal processing |
| isfreeaccess_txt |
false |
| familylinks_str_mv |
(DE-627)130312134 (DE-600)588684-3 (DE-576)015889939 |
| title |
Variable Step-Size Diffusion Normalized Sign-Error Algorithm |
| ctrlnum |
(DE-627)OLC2034853083 (DE-He213)s00034-018-0797-5-p |
| title_full |
Variable Step-Size Diffusion Normalized Sign-Error Algorithm |
| author_sort |
Wen, Pengwei |
| journal |
Circuits, systems and signal processing |
| journalStr |
Circuits, systems and signal processing |
| lang_code |
eng |
| isOA_bool |
false |
| dewey-hundreds |
600 - Technology |
| recordtype |
marc |
| publishDateSort |
2018 |
| contenttype_str_mv |
txt |
| container_start_page |
4993 |
| author_browse |
Wen, Pengwei Zhang, Jiashu |
| container_volume |
37 |
| class |
600 VZ |
| format_se |
Aufsätze |
| author-letter |
Wen, Pengwei |
| doi_str_mv |
10.1007/s00034-018-0797-5 |
| dewey-full |
600 |
| title_sort |
variable step-size diffusion normalized sign-error algorithm |
| title_auth |
Variable Step-Size Diffusion Normalized Sign-Error Algorithm |
| abstract |
Abstract In this paper, a novel diffusion estimation algorithm is proposed by combining the adapt-then-combine (ATC) diffusion NLMS (DNLMS) and the sign operation to the error signals at all agents. Due to using the sign operation, the proposed algorithm has a robust performance against impulsive noise. A variable step size is obtained by minimizing the mean-square deviation to achieve fast convergence rate and small steady-state error. Meanwhile, the proposed algorithm has a good tracking capability when the system suddenly changes. Simulations on system identifications demonstrate that the proposed diffusion algorithm shows a good performance under an impulsive noise scenario. © Springer Science+Business Media, LLC, part of Springer Nature 2018 |
| abstractGer |
Abstract In this paper, a novel diffusion estimation algorithm is proposed by combining the adapt-then-combine (ATC) diffusion NLMS (DNLMS) and the sign operation to the error signals at all agents. Due to using the sign operation, the proposed algorithm has a robust performance against impulsive noise. A variable step size is obtained by minimizing the mean-square deviation to achieve fast convergence rate and small steady-state error. Meanwhile, the proposed algorithm has a good tracking capability when the system suddenly changes. Simulations on system identifications demonstrate that the proposed diffusion algorithm shows a good performance under an impulsive noise scenario. © Springer Science+Business Media, LLC, part of Springer Nature 2018 |
| abstract_unstemmed |
Abstract In this paper, a novel diffusion estimation algorithm is proposed by combining the adapt-then-combine (ATC) diffusion NLMS (DNLMS) and the sign operation to the error signals at all agents. Due to using the sign operation, the proposed algorithm has a robust performance against impulsive noise. A variable step size is obtained by minimizing the mean-square deviation to achieve fast convergence rate and small steady-state error. Meanwhile, the proposed algorithm has a good tracking capability when the system suddenly changes. Simulations on system identifications demonstrate that the proposed diffusion algorithm shows a good performance under an impulsive noise scenario. © Springer Science+Business Media, LLC, part of Springer Nature 2018 |
| collection_details |
GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC GBV_ILN_70 GBV_ILN_2244 |
| container_issue |
11 |
| title_short |
Variable Step-Size Diffusion Normalized Sign-Error Algorithm |
| url |
https://doi.org/10.1007/s00034-018-0797-5 |
| remote_bool |
false |
| author2 |
Zhang, Jiashu |
| author2Str |
Zhang, Jiashu |
| ppnlink |
130312134 |
| mediatype_str_mv |
n |
| isOA_txt |
false |
| hochschulschrift_bool |
false |
| doi_str |
10.1007/s00034-018-0797-5 |
| up_date |
2024-07-03T22:43:19.641Z |
| _version_ |
1803599583267258368 |
| fullrecord_marcxml |
<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a22002652 4500</leader><controlfield tag="001">OLC2034853083</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230331224854.0</controlfield><controlfield tag="007">tu</controlfield><controlfield tag="008">200819s2018 xx ||||| 00| ||eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1007/s00034-018-0797-5</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)OLC2034853083</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-He213)s00034-018-0797-5-p</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="082" ind1="0" ind2="4"><subfield code="a">600</subfield><subfield code="q">VZ</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Wen, Pengwei</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Variable Step-Size Diffusion Normalized Sign-Error Algorithm</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2018</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">ohne Hilfsmittel zu benutzen</subfield><subfield code="b">n</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Band</subfield><subfield code="b">nc</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a">© Springer Science+Business Media, LLC, part of Springer Nature 2018</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Abstract In this paper, a novel diffusion estimation algorithm is proposed by combining the adapt-then-combine (ATC) diffusion NLMS (DNLMS) and the sign operation to the error signals at all agents. Due to using the sign operation, the proposed algorithm has a robust performance against impulsive noise. A variable step size is obtained by minimizing the mean-square deviation to achieve fast convergence rate and small steady-state error. Meanwhile, the proposed algorithm has a good tracking capability when the system suddenly changes. Simulations on system identifications demonstrate that the proposed diffusion algorithm shows a good performance under an impulsive noise scenario.</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Diffusion strategy</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Sign-error algorithm</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Impulsive noise</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Zhang, Jiashu</subfield><subfield code="4">aut</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">Enthalten in</subfield><subfield code="t">Circuits, systems and signal processing</subfield><subfield code="d">Springer US, 1982</subfield><subfield code="g">37(2018), 11 vom: 09. März, Seite 4993-5004</subfield><subfield code="w">(DE-627)130312134</subfield><subfield code="w">(DE-600)588684-3</subfield><subfield code="w">(DE-576)015889939</subfield><subfield code="x">0278-081X</subfield><subfield code="7">nnns</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:37</subfield><subfield code="g">year:2018</subfield><subfield code="g">number:11</subfield><subfield code="g">day:09</subfield><subfield code="g">month:03</subfield><subfield code="g">pages:4993-5004</subfield></datafield><datafield tag="856" ind1="4" ind2="1"><subfield code="u">https://doi.org/10.1007/s00034-018-0797-5</subfield><subfield code="z">lizenzpflichtig</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_USEFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SYSFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_OLC</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SSG-OLC-TEC</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_70</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2244</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="d">37</subfield><subfield code="j">2018</subfield><subfield code="e">11</subfield><subfield code="b">09</subfield><subfield code="c">03</subfield><subfield code="h">4993-5004</subfield></datafield></record></collection>
|
| score |
7.399722 |