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Multi-split adaptive filtering
A novel transversal split filter configuration is proposed and the split optimum Wiener filter is introduced, as well as the symmetric and antisymmetric linear phase Wiener filter. The approach consists of combining the idea of split filtering with a linearly constrained optimization scheme. Then, t...
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container_end_page | 3732 vol.6 |
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container_start_page | 3729 |
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container_volume | 6 |
creator | Resende, L.S. Romano, J.M.T. Bellanger, M. |
description | A novel transversal split filter configuration is proposed and the split optimum Wiener filter is introduced, as well as the symmetric and antisymmetric linear phase Wiener filter. The approach consists of combining the idea of split filtering with a linearly constrained optimization scheme. Then, the continuously split procedure is introduced and the multi-split adaptive filter is derived. It is also shown that such a structure can be viewed as a Hadamard-domain adaptive filter when the number of coefficients is set to a power of two. Simulation results obtained with the normalized LMS algorithm are presented and compared with DCT-domain adaptive filter. |
doi_str_mv | 10.1109/ICASSP.2001.940653 |
format | conference_proceeding |
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The approach consists of combining the idea of split filtering with a linearly constrained optimization scheme. Then, the continuously split procedure is introduced and the multi-split adaptive filter is derived. It is also shown that such a structure can be viewed as a Hadamard-domain adaptive filter when the number of coefficients is set to a power of two. 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No.01CH37221)</title><addtitle>ICASSP</addtitle><description>A novel transversal split filter configuration is proposed and the split optimum Wiener filter is introduced, as well as the symmetric and antisymmetric linear phase Wiener filter. The approach consists of combining the idea of split filtering with a linearly constrained optimization scheme. Then, the continuously split procedure is introduced and the multi-split adaptive filter is derived. It is also shown that such a structure can be viewed as a Hadamard-domain adaptive filter when the number of coefficients is set to a power of two. Simulation results obtained with the normalized LMS algorithm are presented and compared with DCT-domain adaptive filter.</description><subject>Adaptive filters</subject><subject>Constraint optimization</subject><subject>Filtering</subject><subject>Lattices</subject><subject>Least squares approximation</subject><subject>Nonlinear filters</subject><subject>Symmetric matrices</subject><subject>Transversal filters</subject><subject>Wiener filter</subject><issn>1520-6149</issn><issn>2379-190X</issn><isbn>0780370414</isbn><isbn>9780780370418</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2001</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><recordid>eNotj8tKAzEUQIMPcFr9gS6kP5Dx3tw8l1J8QUuFduGuJOZGIqMMM6Pg3yvU1dkdzhFigdAiQrh5Wt3uds-tAsA2aLCGTkSjyAWJAV5OxQycB3KgUZ-JBo0CaVGHCzEbx3cA8E77RlxvvrqpyrHv6rSMOfZT_eZlqd3EQ_18uxTnJXYjX_1zLvb3d_vVo1xvH_4C1rJ6N0lEFbQv2Too0egARM5bUFxMAudiUtFQzoaSzoWDM68ROQVU1iYmb2kuFkdtZeZDP9SPOPwcjlf0C08zPgA</recordid><startdate>2001</startdate><enddate>2001</enddate><creator>Resende, L.S.</creator><creator>Romano, J.M.T.</creator><creator>Bellanger, M.</creator><general>IEEE</general><scope>6IE</scope><scope>6IH</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIO</scope></search><sort><creationdate>2001</creationdate><title>Multi-split adaptive filtering</title><author>Resende, L.S. ; Romano, J.M.T. ; Bellanger, M.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i87t-112948fd670fa54903378602ef5b077ab2a53dd53b4dfe975ca1eb91266be3863</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2001</creationdate><topic>Adaptive filters</topic><topic>Constraint optimization</topic><topic>Filtering</topic><topic>Lattices</topic><topic>Least squares approximation</topic><topic>Nonlinear filters</topic><topic>Symmetric matrices</topic><topic>Transversal filters</topic><topic>Wiener filter</topic><toplevel>online_resources</toplevel><creatorcontrib>Resende, L.S.</creatorcontrib><creatorcontrib>Romano, J.M.T.</creatorcontrib><creatorcontrib>Bellanger, M.</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan (POP) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Xplore</collection><collection>IEEE Proceedings Order Plans (POP) 1998-present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Resende, L.S.</au><au>Romano, J.M.T.</au><au>Bellanger, M.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Multi-split adaptive filtering</atitle><btitle>2001 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.01CH37221)</btitle><stitle>ICASSP</stitle><date>2001</date><risdate>2001</risdate><volume>6</volume><spage>3729</spage><epage>3732 vol.6</epage><pages>3729-3732 vol.6</pages><issn>1520-6149</issn><eissn>2379-190X</eissn><isbn>0780370414</isbn><isbn>9780780370418</isbn><abstract>A novel transversal split filter configuration is proposed and the split optimum Wiener filter is introduced, as well as the symmetric and antisymmetric linear phase Wiener filter. The approach consists of combining the idea of split filtering with a linearly constrained optimization scheme. Then, the continuously split procedure is introduced and the multi-split adaptive filter is derived. It is also shown that such a structure can be viewed as a Hadamard-domain adaptive filter when the number of coefficients is set to a power of two. Simulation results obtained with the normalized LMS algorithm are presented and compared with DCT-domain adaptive filter.</abstract><pub>IEEE</pub><doi>10.1109/ICASSP.2001.940653</doi></addata></record> |
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ispartof | 2001 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.01CH37221), 2001, Vol.6, p.3729-3732 vol.6 |
issn | 1520-6149 2379-190X |
language | eng |
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source | IEEE Electronic Library (IEL) Conference Proceedings |
subjects | Adaptive filters Constraint optimization Filtering Lattices Least squares approximation Nonlinear filters Symmetric matrices Transversal filters Wiener filter |
title | Multi-split adaptive filtering |
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