Variable Tap-Length LMS Algorithm Based on Adaptive Parameters for TDL Structure Adaption
A variable tap-length LMS algorithm based on adaptive parameters for tapped-delay-line (TDL) structure adaption is proposed in this paper. The objective of this work is to overcome some drawbacks of previous variable tap-length adaptive filter algorithms, including slow convergence speed and high se...
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| Veröffentlicht in: | IEEE signal processing letters 2014-07, Vol.21 (7), p.809-813 |
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| creator | Xu, Dingjie Yin, Bo Wang, Wei Zhu, Wei |
| description | A variable tap-length LMS algorithm based on adaptive parameters for tapped-delay-line (TDL) structure adaption is proposed in this paper. The objective of this work is to overcome some drawbacks of previous variable tap-length adaptive filter algorithms, including slow convergence speed and high sensitivity to noise. Novel tap-length iteration equation based on adaptive parameters and arctangent-limited value is proposed. The values of adaptive parameters can automatically change according to the filter state, which not only improves the convergence speed but also reduces the steady-state error. The arctangent-limited value can effectively reduce the instantaneous estimated error, which enhances the robustness to noise. Computer simulations are conducted to verify the performance of proposed algorithm. |
| doi_str_mv | 10.1109/LSP.2014.2317752 |
| format | Article |
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The objective of this work is to overcome some drawbacks of previous variable tap-length adaptive filter algorithms, including slow convergence speed and high sensitivity to noise. Novel tap-length iteration equation based on adaptive parameters and arctangent-limited value is proposed. The values of adaptive parameters can automatically change according to the filter state, which not only improves the convergence speed but also reduces the steady-state error. The arctangent-limited value can effectively reduce the instantaneous estimated error, which enhances the robustness to noise. Computer simulations are conducted to verify the performance of proposed algorithm.</description><identifier>ISSN: 1070-9908</identifier><identifier>EISSN: 1558-2361</identifier><identifier>DOI: 10.1109/LSP.2014.2317752</identifier><identifier>CODEN: ISPLEM</identifier><language>eng</language><publisher>New York: IEEE</publisher><subject>Adaptive algorithms ; Adaptive filters ; Adaptive parameters ; Adaptive structures ; Algorithm design and analysis ; Algorithms ; Convergence ; Equations ; Errors ; Least squares approximations ; LMS ; Mathematical analysis ; Mathematical models ; Noise ; Signal processing algorithms ; Steady-state ; structure adaption ; variable tap-length</subject><ispartof>IEEE signal processing letters, 2014-07, Vol.21 (7), p.809-813</ispartof><rights>Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) Jul 2014</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c390t-77cc077118672fd0f1af1b5d467d9d4237a7d94ae262ee2185dad66a19f4e00b3</citedby><cites>FETCH-LOGICAL-c390t-77cc077118672fd0f1af1b5d467d9d4237a7d94ae262ee2185dad66a19f4e00b3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/6799247$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>314,776,780,792,27903,27904,54736</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/6799247$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Xu, Dingjie</creatorcontrib><creatorcontrib>Yin, Bo</creatorcontrib><creatorcontrib>Wang, Wei</creatorcontrib><creatorcontrib>Zhu, Wei</creatorcontrib><title>Variable Tap-Length LMS Algorithm Based on Adaptive Parameters for TDL Structure Adaption</title><title>IEEE signal processing letters</title><addtitle>LSP</addtitle><description>A variable tap-length LMS algorithm based on adaptive parameters for tapped-delay-line (TDL) structure adaption is proposed in this paper. The objective of this work is to overcome some drawbacks of previous variable tap-length adaptive filter algorithms, including slow convergence speed and high sensitivity to noise. Novel tap-length iteration equation based on adaptive parameters and arctangent-limited value is proposed. The values of adaptive parameters can automatically change according to the filter state, which not only improves the convergence speed but also reduces the steady-state error. The arctangent-limited value can effectively reduce the instantaneous estimated error, which enhances the robustness to noise. Computer simulations are conducted to verify the performance of proposed algorithm.</description><subject>Adaptive algorithms</subject><subject>Adaptive filters</subject><subject>Adaptive parameters</subject><subject>Adaptive structures</subject><subject>Algorithm design and analysis</subject><subject>Algorithms</subject><subject>Convergence</subject><subject>Equations</subject><subject>Errors</subject><subject>Least squares approximations</subject><subject>LMS</subject><subject>Mathematical analysis</subject><subject>Mathematical models</subject><subject>Noise</subject><subject>Signal processing algorithms</subject><subject>Steady-state</subject><subject>structure adaption</subject><subject>variable tap-length</subject><issn>1070-9908</issn><issn>1558-2361</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2014</creationdate><recordtype>article</recordtype><sourceid>RIE</sourceid><recordid>eNpdkEtLw0AUhQdRsFb3gpsBN25S78wkM8my1idELLQKroZpctOm5OVMIvjvndLiwtU9i-9cDh8hlwwmjEFymy7mEw4snHDBlIr4ERmxKIoDLiQ79hkUBEkC8Sk5c24LADGLoxH5_DC2NKsK6dJ0QYrNut_Q9HVBp9W6tWW_qemdcZjTtqHT3HR9-Y10bqypsUfraNFaurxP6aK3Q9YPFg9U25yTk8JUDi8Od0zeHx-Ws-cgfXt6mU3TIBMJ9IFSWQZKMRZLxYscCmYKtoryUKo8yUMulPEhNMglR-R-dG5yKQ1LihABVmJMbvZ_O9t-Deh6XZcuw6oyDbaD00x6LSAAhEev_6HbdrCNX6dZJEMpeBRHnoI9ldnWOYuF7mxZG_ujGeida-1d651rfXDtK1f7SomIf7hUScJDJX4B_qJ4tg</recordid><startdate>20140701</startdate><enddate>20140701</enddate><creator>Xu, Dingjie</creator><creator>Yin, Bo</creator><creator>Wang, Wei</creator><creator>Zhu, Wei</creator><general>IEEE</general><general>The Institute of Electrical and Electronics Engineers, Inc. (IEEE)</general><scope>97E</scope><scope>RIA</scope><scope>RIE</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7SC</scope><scope>7SP</scope><scope>8FD</scope><scope>JQ2</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope><scope>F28</scope><scope>FR3</scope></search><sort><creationdate>20140701</creationdate><title>Variable Tap-Length LMS Algorithm Based on Adaptive Parameters for TDL Structure Adaption</title><author>Xu, Dingjie ; Yin, Bo ; Wang, Wei ; Zhu, Wei</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c390t-77cc077118672fd0f1af1b5d467d9d4237a7d94ae262ee2185dad66a19f4e00b3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2014</creationdate><topic>Adaptive algorithms</topic><topic>Adaptive filters</topic><topic>Adaptive parameters</topic><topic>Adaptive structures</topic><topic>Algorithm design and analysis</topic><topic>Algorithms</topic><topic>Convergence</topic><topic>Equations</topic><topic>Errors</topic><topic>Least squares approximations</topic><topic>LMS</topic><topic>Mathematical analysis</topic><topic>Mathematical models</topic><topic>Noise</topic><topic>Signal processing algorithms</topic><topic>Steady-state</topic><topic>structure adaption</topic><topic>variable tap-length</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Xu, Dingjie</creatorcontrib><creatorcontrib>Yin, Bo</creatorcontrib><creatorcontrib>Wang, Wei</creatorcontrib><creatorcontrib>Zhu, Wei</creatorcontrib><collection>IEEE All-Society Periodicals Package (ASPP) 2005-present</collection><collection>IEEE All-Society Periodicals Package (ASPP) 1998-Present</collection><collection>IEEE Electronic Library (IEL)</collection><collection>CrossRef</collection><collection>Computer and Information Systems Abstracts</collection><collection>Electronics & Communications Abstracts</collection><collection>Technology Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><collection>ANTE: Abstracts in New Technology & Engineering</collection><collection>Engineering Research Database</collection><jtitle>IEEE signal processing letters</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Xu, Dingjie</au><au>Yin, Bo</au><au>Wang, Wei</au><au>Zhu, Wei</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Variable Tap-Length LMS Algorithm Based on Adaptive Parameters for TDL Structure Adaption</atitle><jtitle>IEEE signal processing letters</jtitle><stitle>LSP</stitle><date>2014-07-01</date><risdate>2014</risdate><volume>21</volume><issue>7</issue><spage>809</spage><epage>813</epage><pages>809-813</pages><issn>1070-9908</issn><eissn>1558-2361</eissn><coden>ISPLEM</coden><abstract>A variable tap-length LMS algorithm based on adaptive parameters for tapped-delay-line (TDL) structure adaption is proposed in this paper. The objective of this work is to overcome some drawbacks of previous variable tap-length adaptive filter algorithms, including slow convergence speed and high sensitivity to noise. Novel tap-length iteration equation based on adaptive parameters and arctangent-limited value is proposed. The values of adaptive parameters can automatically change according to the filter state, which not only improves the convergence speed but also reduces the steady-state error. The arctangent-limited value can effectively reduce the instantaneous estimated error, which enhances the robustness to noise. Computer simulations are conducted to verify the performance of proposed algorithm.</abstract><cop>New York</cop><pub>IEEE</pub><doi>10.1109/LSP.2014.2317752</doi><tpages>5</tpages></addata></record> |
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| subjects | Adaptive algorithms Adaptive filters Adaptive parameters Adaptive structures Algorithm design and analysis Algorithms Convergence Equations Errors Least squares approximations LMS Mathematical analysis Mathematical models Noise Signal processing algorithms Steady-state structure adaption variable tap-length |
| title | Variable Tap-Length LMS Algorithm Based on Adaptive Parameters for TDL Structure Adaption |
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