A robust subband adaptive filter algorithm for sparse and block-sparse systems identification

This paper presents a new subband adaptive filter (SAF) algorithm for system identification scenario under impuls-ive interference, named generalized continuous mixed p-norm SAF (GCMPN-SAF) algorithm. The proposed algorithm uses a GCMPN cost function to combat the impul- sive interference. To furthe...

Full description

Saved in:
Bibliographic Details
Published in:Journal of systems engineering and electronics 2021-04, Vol.32 (2), p.487-497
Main Authors: Habibi, Zahra, Zayyani, Hadi, Abadi, Mohammad Shams Esfand
Format: Article
Language:English
Citations: Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
cited_by cdi_FETCH-LOGICAL-c325t-dc26996d123a24a172bd4d1c40490b0c04a7d41bd4de159e722b333b0b5119ee3
cites
container_end_page 497
container_issue 2
container_start_page 487
container_title Journal of systems engineering and electronics
container_volume 32
creator Habibi, Zahra
Zayyani, Hadi
Abadi, Mohammad Shams Esfand
description This paper presents a new subband adaptive filter (SAF) algorithm for system identification scenario under impuls-ive interference, named generalized continuous mixed p-norm SAF (GCMPN-SAF) algorithm. The proposed algorithm uses a GCMPN cost function to combat the impul- sive interference. To further accelerate the convergence rate in the sparse and the block-sparse system identification processes, the proportionate versions of the proposed algorithm, the L0-norm GCMPN-SAF (L0-GCMPN-SAF) and the block-sparse GCMPN-SAF (BS-GCMPN-SAF) algorithms are also developed. Moreover, the convergence analysis of the proposed algorithm is provided. Simulation results show that the proposed algorithms have a better performance than some other state-of-the-art algorithms in the literature with respect to the convergence rate and the tracking capability.
doi_str_mv 10.23919/JSEE.2021.000041
format article
fullrecord <record><control><sourceid>wanfang_jour_cross</sourceid><recordid>TN_cdi_wanfang_journals_xtgcydzjs_e202102020</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><wanfj_id>xtgcydzjs_e202102020</wanfj_id><sourcerecordid>xtgcydzjs_e202102020</sourcerecordid><originalsourceid>FETCH-LOGICAL-c325t-dc26996d123a24a172bd4d1c40490b0c04a7d41bd4de159e722b333b0b5119ee3</originalsourceid><addsrcrecordid>eNpNkN1OAjEQhRujiQR5AO_6AC7OtIVNLwnBv5B4oV6apn-LxWWXtEXFp2dXuHAu5kxOzswkHyHXCGPGJcrbp5fFYsyA4Ri6EnhGBthpIZCz83_zJRmltO4zUAJjMCDvMxpbs0uZpp0xunFUO73N4cvTKtTZR6rrVRtD_tjQqo00bXVMnvZBU7f2szgZaZ-y3yQanG9yqILVObTNFbmodJ386KRD8na3eJ0_FMvn-8f5bFlYzia5cJZNpZw6ZFwzobFkxgmHVoCQYMCC0KUT2JseJ9KXjBnOuQEzQZTe8yG5Od791k2lm5Vat7vYdB_VT17ZvftdJ-V7PtA16OJ4jNvYphR9pbYxbHTcKwT1R1T1RFW_oY5E-QEa8Wns</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype></control><display><type>article</type><title>A robust subband adaptive filter algorithm for sparse and block-sparse systems identification</title><source>IEEE Xplore</source><creator>Habibi, Zahra ; Zayyani, Hadi ; Abadi, Mohammad Shams Esfand</creator><creatorcontrib>Habibi, Zahra ; Zayyani, Hadi ; Abadi, Mohammad Shams Esfand</creatorcontrib><description>This paper presents a new subband adaptive filter (SAF) algorithm for system identification scenario under impuls-ive interference, named generalized continuous mixed p-norm SAF (GCMPN-SAF) algorithm. The proposed algorithm uses a GCMPN cost function to combat the impul- sive interference. To further accelerate the convergence rate in the sparse and the block-sparse system identification processes, the proportionate versions of the proposed algorithm, the L0-norm GCMPN-SAF (L0-GCMPN-SAF) and the block-sparse GCMPN-SAF (BS-GCMPN-SAF) algorithms are also developed. Moreover, the convergence analysis of the proposed algorithm is provided. Simulation results show that the proposed algorithms have a better performance than some other state-of-the-art algorithms in the literature with respect to the convergence rate and the tracking capability.</description><identifier>ISSN: 1004-4132</identifier><identifier>EISSN: 1004-4132</identifier><identifier>DOI: 10.23919/JSEE.2021.000041</identifier><language>eng</language><publisher>Research Institute for Information and Communications Technologies,Academic Center for Education,Culture and Research,Tehran 1599616313,Iran%Department of Electrical and Computer Engineering,Qom University of Technology,Qom 371951519,Iran%Faculty of Electrical Engineering,Shahid Rajaee Teacher Training University,Tehran 1678815811,Iran</publisher><ispartof>Journal of systems engineering and electronics, 2021-04, Vol.32 (2), p.487-497</ispartof><rights>Copyright © Wanfang Data Co. Ltd. All Rights Reserved.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c325t-dc26996d123a24a172bd4d1c40490b0c04a7d41bd4de159e722b333b0b5119ee3</citedby></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Uhttp://www.wanfangdata.com.cn/images/PeriodicalImages/xtgcydzjs-e/xtgcydzjs-e.jpg</thumbnail><link.rule.ids>314,780,784,27924,27925</link.rule.ids></links><search><creatorcontrib>Habibi, Zahra</creatorcontrib><creatorcontrib>Zayyani, Hadi</creatorcontrib><creatorcontrib>Abadi, Mohammad Shams Esfand</creatorcontrib><title>A robust subband adaptive filter algorithm for sparse and block-sparse systems identification</title><title>Journal of systems engineering and electronics</title><description>This paper presents a new subband adaptive filter (SAF) algorithm for system identification scenario under impuls-ive interference, named generalized continuous mixed p-norm SAF (GCMPN-SAF) algorithm. The proposed algorithm uses a GCMPN cost function to combat the impul- sive interference. To further accelerate the convergence rate in the sparse and the block-sparse system identification processes, the proportionate versions of the proposed algorithm, the L0-norm GCMPN-SAF (L0-GCMPN-SAF) and the block-sparse GCMPN-SAF (BS-GCMPN-SAF) algorithms are also developed. Moreover, the convergence analysis of the proposed algorithm is provided. Simulation results show that the proposed algorithms have a better performance than some other state-of-the-art algorithms in the literature with respect to the convergence rate and the tracking capability.</description><issn>1004-4132</issn><issn>1004-4132</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><recordid>eNpNkN1OAjEQhRujiQR5AO_6AC7OtIVNLwnBv5B4oV6apn-LxWWXtEXFp2dXuHAu5kxOzswkHyHXCGPGJcrbp5fFYsyA4Ri6EnhGBthpIZCz83_zJRmltO4zUAJjMCDvMxpbs0uZpp0xunFUO73N4cvTKtTZR6rrVRtD_tjQqo00bXVMnvZBU7f2szgZaZ-y3yQanG9yqILVObTNFbmodJ386KRD8na3eJ0_FMvn-8f5bFlYzia5cJZNpZw6ZFwzobFkxgmHVoCQYMCC0KUT2JseJ9KXjBnOuQEzQZTe8yG5Od791k2lm5Vat7vYdB_VT17ZvftdJ-V7PtA16OJ4jNvYphR9pbYxbHTcKwT1R1T1RFW_oY5E-QEa8Wns</recordid><startdate>20210401</startdate><enddate>20210401</enddate><creator>Habibi, Zahra</creator><creator>Zayyani, Hadi</creator><creator>Abadi, Mohammad Shams Esfand</creator><general>Research Institute for Information and Communications Technologies,Academic Center for Education,Culture and Research,Tehran 1599616313,Iran%Department of Electrical and Computer Engineering,Qom University of Technology,Qom 371951519,Iran%Faculty of Electrical Engineering,Shahid Rajaee Teacher Training University,Tehran 1678815811,Iran</general><scope>AAYXX</scope><scope>CITATION</scope><scope>2B.</scope><scope>4A8</scope><scope>92I</scope><scope>93N</scope><scope>PSX</scope><scope>TCJ</scope></search><sort><creationdate>20210401</creationdate><title>A robust subband adaptive filter algorithm for sparse and block-sparse systems identification</title><author>Habibi, Zahra ; Zayyani, Hadi ; Abadi, Mohammad Shams Esfand</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c325t-dc26996d123a24a172bd4d1c40490b0c04a7d41bd4de159e722b333b0b5119ee3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Habibi, Zahra</creatorcontrib><creatorcontrib>Zayyani, Hadi</creatorcontrib><creatorcontrib>Abadi, Mohammad Shams Esfand</creatorcontrib><collection>CrossRef</collection><collection>Wanfang Data Journals - Hong Kong</collection><collection>WANFANG Data Centre</collection><collection>Wanfang Data Journals</collection><collection>万方数据期刊 - 香港版</collection><collection>China Online Journals (COJ)</collection><collection>China Online Journals (COJ)</collection><jtitle>Journal of systems engineering and electronics</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Habibi, Zahra</au><au>Zayyani, Hadi</au><au>Abadi, Mohammad Shams Esfand</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A robust subband adaptive filter algorithm for sparse and block-sparse systems identification</atitle><jtitle>Journal of systems engineering and electronics</jtitle><date>2021-04-01</date><risdate>2021</risdate><volume>32</volume><issue>2</issue><spage>487</spage><epage>497</epage><pages>487-497</pages><issn>1004-4132</issn><eissn>1004-4132</eissn><abstract>This paper presents a new subband adaptive filter (SAF) algorithm for system identification scenario under impuls-ive interference, named generalized continuous mixed p-norm SAF (GCMPN-SAF) algorithm. The proposed algorithm uses a GCMPN cost function to combat the impul- sive interference. To further accelerate the convergence rate in the sparse and the block-sparse system identification processes, the proportionate versions of the proposed algorithm, the L0-norm GCMPN-SAF (L0-GCMPN-SAF) and the block-sparse GCMPN-SAF (BS-GCMPN-SAF) algorithms are also developed. Moreover, the convergence analysis of the proposed algorithm is provided. Simulation results show that the proposed algorithms have a better performance than some other state-of-the-art algorithms in the literature with respect to the convergence rate and the tracking capability.</abstract><pub>Research Institute for Information and Communications Technologies,Academic Center for Education,Culture and Research,Tehran 1599616313,Iran%Department of Electrical and Computer Engineering,Qom University of Technology,Qom 371951519,Iran%Faculty of Electrical Engineering,Shahid Rajaee Teacher Training University,Tehran 1678815811,Iran</pub><doi>10.23919/JSEE.2021.000041</doi><tpages>11</tpages><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 1004-4132
ispartof Journal of systems engineering and electronics, 2021-04, Vol.32 (2), p.487-497
issn 1004-4132
1004-4132
language eng
recordid cdi_wanfang_journals_xtgcydzjs_e202102020
source IEEE Xplore
title A robust subband adaptive filter algorithm for sparse and block-sparse systems identification
url http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-06T07%3A27%3A40IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-wanfang_jour_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=A%20robust%20subband%20adaptive%20filter%20algorithm%20for%20sparse%20and%20block-sparse%20systems%20identification&rft.jtitle=Journal%20of%20systems%20engineering%20and%20electronics&rft.au=Habibi,%20Zahra&rft.date=2021-04-01&rft.volume=32&rft.issue=2&rft.spage=487&rft.epage=497&rft.pages=487-497&rft.issn=1004-4132&rft.eissn=1004-4132&rft_id=info:doi/10.23919/JSEE.2021.000041&rft_dat=%3Cwanfang_jour_cross%3Extgcydzjs_e202102020%3C/wanfang_jour_cross%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c325t-dc26996d123a24a172bd4d1c40490b0c04a7d41bd4de159e722b333b0b5119ee3%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_id=info:pmid/&rft_wanfj_id=xtgcydzjs_e202102020&rfr_iscdi=true