Normalized Subband Spline Adaptive Filter: Algorithm Derivation and Analysis
This paper proposes a normalized subband spline adaptive filter (SAF-NSAF) algorithm to solve the problem that linear subband adaptive filtering cannot identify nonlinear systems. The weight update of the proposed algorithm is conducted using the principle of minimum disturbance. Since a delayless s...
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| Veröffentlicht in: | Circuits, systems, and signal processing systems, and signal processing, 2021-05, Vol.40 (5), p.2400-2418 |
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| container_title | Circuits, systems, and signal processing |
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| creator | Wen, Pengwei Zhang, Jiashu Zhang, Sheng Qu, Boyang |
| description | This paper proposes a normalized subband spline adaptive filter (SAF-NSAF) algorithm to solve the problem that linear subband adaptive filtering cannot identify nonlinear systems. The weight update of the proposed algorithm is conducted using the principle of minimum disturbance. Since a delayless structure is used in the proposed algorithm, a delay is not introduced into the update process. The effectiveness of the proposed algorithm is verified by simulations. Also, the mean and mean square stability of the proposed algorithm are evaluated using the principle of conservation of energy. The simulation results demonstrate that the performance of the proposed algorithm outperforms other cited nonlinear algorithms. |
| doi_str_mv | 10.1007/s00034-020-01577-6 |
| format | Article |
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The weight update of the proposed algorithm is conducted using the principle of minimum disturbance. Since a delayless structure is used in the proposed algorithm, a delay is not introduced into the update process. The effectiveness of the proposed algorithm is verified by simulations. Also, the mean and mean square stability of the proposed algorithm are evaluated using the principle of conservation of energy. The simulation results demonstrate that the performance of the proposed algorithm outperforms other cited nonlinear algorithms.</description><identifier>ISSN: 0278-081X</identifier><identifier>EISSN: 1531-5878</identifier><identifier>DOI: 10.1007/s00034-020-01577-6</identifier><language>eng</language><publisher>New York: Springer US</publisher><subject>Adaptive algorithms ; Adaptive filters ; Adaptive systems ; Algorithms ; Circuits and Systems ; Electrical Engineering ; Electronics and Microelectronics ; Engineering ; Instrumentation ; Nonlinear systems ; Signal,Image and Speech Processing ; Stability analysis</subject><ispartof>Circuits, systems, and signal processing, 2021-05, Vol.40 (5), p.2400-2418</ispartof><rights>Springer Science+Business Media, LLC, part of Springer Nature 2020</rights><rights>Springer Science+Business Media, LLC, part of Springer Nature 2020.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c358t-7451f262fa81cc42edf45a6d5ff6d8ae29d50a0b6b9323b67c38b0b8bf00fbbb3</citedby><cites>FETCH-LOGICAL-c358t-7451f262fa81cc42edf45a6d5ff6d8ae29d50a0b6b9323b67c38b0b8bf00fbbb3</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/s00034-020-01577-6$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s00034-020-01577-6$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,780,784,27924,27925,41488,42557,51319</link.rule.ids></links><search><creatorcontrib>Wen, Pengwei</creatorcontrib><creatorcontrib>Zhang, Jiashu</creatorcontrib><creatorcontrib>Zhang, Sheng</creatorcontrib><creatorcontrib>Qu, Boyang</creatorcontrib><title>Normalized Subband Spline Adaptive Filter: Algorithm Derivation and Analysis</title><title>Circuits, systems, and signal processing</title><addtitle>Circuits Syst Signal Process</addtitle><description>This paper proposes a normalized subband spline adaptive filter (SAF-NSAF) algorithm to solve the problem that linear subband adaptive filtering cannot identify nonlinear systems. 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The simulation results demonstrate that the performance of the proposed algorithm outperforms other cited nonlinear algorithms.</description><subject>Adaptive algorithms</subject><subject>Adaptive filters</subject><subject>Adaptive systems</subject><subject>Algorithms</subject><subject>Circuits and Systems</subject><subject>Electrical Engineering</subject><subject>Electronics and Microelectronics</subject><subject>Engineering</subject><subject>Instrumentation</subject><subject>Nonlinear systems</subject><subject>Signal,Image and Speech Processing</subject><subject>Stability analysis</subject><issn>0278-081X</issn><issn>1531-5878</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</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>eNp9kMFLwzAchYMoOKf_gKeC5-gvSdOk3sp0Uxh6UMFbSNpkZnRtTbrB_OvtrODN07u87_H4ELokcE0AxE0EAJZioICBcCFwdoQmhDOCuRTyGE2AColBkvdTdBbjGoDkaU4naPnUho2u_ZetkpetMboZsqt9Y5Oi0l3vdzaZ-7q34TYp6lUbfP-xSe5s8Dvd-7ZJDkDR6HoffTxHJ07X0V785hS9ze9fZw94-bx4nBVLXDIueyxSThzNqNOSlGVKbeVSrrOKO5dVUluaVxw0mMzkjDKTiZJJA0YaB-CMMWyKrsbdLrSfWxt7tW63YTgRFeUggaaM8qFFx1YZ2hiDdaoLfqPDXhFQB2tqtKYGa-rHmsoGiI1QHMrNyoa_6X-ob2KtcBU</recordid><startdate>20210501</startdate><enddate>20210501</enddate><creator>Wen, Pengwei</creator><creator>Zhang, Jiashu</creator><creator>Zhang, Sheng</creator><creator>Qu, Boyang</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>20210501</creationdate><title>Normalized Subband Spline Adaptive Filter: Algorithm Derivation and Analysis</title><author>Wen, Pengwei ; 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| issn | 0278-081X 1531-5878 |
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| subjects | Adaptive algorithms Adaptive filters Adaptive systems Algorithms Circuits and Systems Electrical Engineering Electronics and Microelectronics Engineering Instrumentation Nonlinear systems Signal,Image and Speech Processing Stability analysis |
| title | Normalized Subband Spline Adaptive Filter: Algorithm Derivation and Analysis |
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