Robust Variable Step-Size Affine Projection Sign Algorithm Against Impulsive Noises
The present study introduces a robust variable step-size affine projection sign adaptive algorithm (RVSS-APSA) in impulsive noise environments. In the proposed RVSS-APA, the weight coefficients are updated based on the minimization of ℓ 2 -norm of the a posteriori error and the step size changes acc...
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Veröffentlicht in: | Circuits, systems, and signal processing systems, and signal processing, 2020-03, Vol.39 (3), p.1471-1488 |
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creator | Shams Esfand Abadi, Mohammad Mesgarani, Hamid Khademiyan, Seyed Mahmoud |
description | The present study introduces a robust variable step-size affine projection sign adaptive algorithm (RVSS-APSA) in impulsive noise environments. In the proposed RVSS-APA, the weight coefficients are updated based on the minimization of
ℓ
2
-norm of the a posteriori error and the step size changes according to the minimization of
ℓ
1
-norm of the
a posteriori
error. This algorithm reduces the steady-state misalignment and increases the convergence rate for colored input signal as well as with or without impulsive noise interference. Also, a new simple reset algorithm is proposed to improve the tracking ability of the introduced algorithm. The simulation results demonstrate a good performance for the proposed algorithm in different situations. |
doi_str_mv | 10.1007/s00034-019-01209-8 |
format | Article |
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ℓ
2
-norm of the a posteriori error and the step size changes according to the minimization of
ℓ
1
-norm of the
a posteriori
error. This algorithm reduces the steady-state misalignment and increases the convergence rate for colored input signal as well as with or without impulsive noise interference. Also, a new simple reset algorithm is proposed to improve the tracking ability of the introduced algorithm. The simulation results demonstrate a good performance for the proposed algorithm in different situations.</description><identifier>ISSN: 0278-081X</identifier><identifier>EISSN: 1531-5878</identifier><identifier>DOI: 10.1007/s00034-019-01209-8</identifier><language>eng</language><publisher>New York: Springer US</publisher><subject>Adaptive algorithms ; Algorithms ; Circuits and Systems ; Computer simulation ; Electrical Engineering ; Electronics and Microelectronics ; Engineering ; Error reduction ; Instrumentation ; Misalignment ; Optimization ; Signal,Image and Speech Processing</subject><ispartof>Circuits, systems, and signal processing, 2020-03, Vol.39 (3), p.1471-1488</ispartof><rights>Springer Science+Business Media, LLC, part of Springer Nature 2019</rights><rights>Circuits, Systems, and Signal Processing is a copyright of Springer, (2019). All Rights Reserved.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c319t-36476422790883014cd2ed229fb64261c0973134b0e0a980faba9cebc0a98afe3</citedby><cites>FETCH-LOGICAL-c319t-36476422790883014cd2ed229fb64261c0973134b0e0a980faba9cebc0a98afe3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s00034-019-01209-8$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s00034-019-01209-8$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,776,780,27903,27904,41467,42536,51297</link.rule.ids></links><search><creatorcontrib>Shams Esfand Abadi, Mohammad</creatorcontrib><creatorcontrib>Mesgarani, Hamid</creatorcontrib><creatorcontrib>Khademiyan, Seyed Mahmoud</creatorcontrib><title>Robust Variable Step-Size Affine Projection Sign Algorithm Against Impulsive Noises</title><title>Circuits, systems, and signal processing</title><addtitle>Circuits Syst Signal Process</addtitle><description>The present study introduces a robust variable step-size affine projection sign adaptive algorithm (RVSS-APSA) in impulsive noise environments. In the proposed RVSS-APA, the weight coefficients are updated based on the minimization of
ℓ
2
-norm of the a posteriori error and the step size changes according to the minimization of
ℓ
1
-norm of the
a posteriori
error. This algorithm reduces the steady-state misalignment and increases the convergence rate for colored input signal as well as with or without impulsive noise interference. Also, a new simple reset algorithm is proposed to improve the tracking ability of the introduced algorithm. The simulation results demonstrate a good performance for the proposed algorithm in different situations.</description><subject>Adaptive algorithms</subject><subject>Algorithms</subject><subject>Circuits and Systems</subject><subject>Computer simulation</subject><subject>Electrical Engineering</subject><subject>Electronics and Microelectronics</subject><subject>Engineering</subject><subject>Error reduction</subject><subject>Instrumentation</subject><subject>Misalignment</subject><subject>Optimization</subject><subject>Signal,Image and Speech Processing</subject><issn>0278-081X</issn><issn>1531-5878</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNp9kE9LxDAQxYMouK5-AU8Bz9FJ0m2TYxH_LCwqVsVbSLtpzdJtatIK-unNWsGbMMMww--9gYfQKYVzCpBdBADgCQEqYzOQROyhGV1wShYiE_toBiwTBAR9PURHIWwgkolkM1Q8unIMA37R3uqyNbgYTE8K-2VwXte2M_jBu42pBus6XNimw3nbOG-Hty3OG227qF1u-7EN9sPgO2eDCcfooNZtMCe_c46er6-eLm_J6v5meZmvSMWpHAhPkyxNGMskCMGBJtWamTVjsi7jOaUVyIxTnpRgQEsBtS61rExZ7TZdGz5HZ5Nv7937aMKgNm70XXypGEvTVIhYkWITVXkXgje16r3dav-pKKhdeGoKT8VI1E94aifikyhEuGuM_7P-R_UN85dxbA</recordid><startdate>20200301</startdate><enddate>20200301</enddate><creator>Shams Esfand Abadi, Mohammad</creator><creator>Mesgarani, Hamid</creator><creator>Khademiyan, Seyed Mahmoud</creator><general>Springer US</general><general>Springer Nature B.V</general><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7SC</scope><scope>7SP</scope><scope>7XB</scope><scope>88I</scope><scope>8AL</scope><scope>8AO</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FK</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>JQ2</scope><scope>K7-</scope><scope>L6V</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope><scope>M0N</scope><scope>M2P</scope><scope>M7S</scope><scope>P5Z</scope><scope>P62</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PTHSS</scope><scope>Q9U</scope><scope>S0W</scope></search><sort><creationdate>20200301</creationdate><title>Robust Variable Step-Size Affine Projection Sign Algorithm Against Impulsive Noises</title><author>Shams Esfand Abadi, Mohammad ; 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ℓ
2
-norm of the a posteriori error and the step size changes according to the minimization of
ℓ
1
-norm of the
a posteriori
error. This algorithm reduces the steady-state misalignment and increases the convergence rate for colored input signal as well as with or without impulsive noise interference. Also, a new simple reset algorithm is proposed to improve the tracking ability of the introduced algorithm. The simulation results demonstrate a good performance for the proposed algorithm in different situations.</abstract><cop>New York</cop><pub>Springer US</pub><doi>10.1007/s00034-019-01209-8</doi><tpages>18</tpages></addata></record> |
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subjects | Adaptive algorithms Algorithms Circuits and Systems Computer simulation Electrical Engineering Electronics and Microelectronics Engineering Error reduction Instrumentation Misalignment Optimization Signal,Image and Speech Processing |
title | Robust Variable Step-Size Affine Projection Sign Algorithm Against Impulsive Noises |
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