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An adaptive combination of adaptive filters for plant identification
In this paper, we propose to adaptively combine two LMS adaptive transversal filters for plant identification. One of the filters has a high and the other a low adaption step, in order to combine good tracking capabilities under (fast) change conditions with a reduced convergence error along station...
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| container_end_page | 1198 vol.2 |
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| container_start_page | 1195 |
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| container_volume | 2 |
| creator | Martinez-Ramon, M. Arenas-Garcia, J. Navia-Vazquez, A. Figueiras-Vidal, A.R. |
| description | In this paper, we propose to adaptively combine two LMS adaptive transversal filters for plant identification. One of the filters has a high and the other a low adaption step, in order to combine good tracking capabilities under (fast) change conditions with a reduced convergence error along stationary periods. A brief discussion of the characteristics of the combination is included, emphasizing that it allows the possibility of dealing with "intermediate" rate of change situations, in opposition to (implicit or explicit) switching mechanisms. A selected illustrative simulation example shows the effectiveness of this approach. Some complementary lines of research are indicated, from the points of view of improving the algorithm and of extending the fields of application. |
| doi_str_mv | 10.1109/ICDSP.2002.1028307 |
| format | conference_proceeding |
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Some complementary lines of research are indicated, from the points of view of improving the algorithm and of extending the fields of application.</description><subject>Adaptive filters</subject><subject>Convergence</subject><subject>Filtering algorithms</subject><subject>Least squares approximation</subject><subject>Robustness</subject><subject>Signal processing</subject><subject>Steady-state</subject><subject>System identification</subject><subject>Teleprinting</subject><subject>Transversal filters</subject><isbn>9780780375031</isbn><isbn>0780375033</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2002</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><recordid>eNpFj9tKxDAYhAMiKGtfYL3JC7Tm2D-5XLoeFhYUdK-XpPkDkW5a2iD49i664DAw8DEMDCFrzhrOmX3Yddv3t0YwJhrOhJEMrkhlwbCzJWgm-Q2pluWTnaW0MgC3ZLvJ1AU3lfSFtB9PPmVX0pjpGP95TEPBeaFxnOk0uFxoCphLiqn_Ld-R6-iGBatLrsjh6fGje6n3r8-7brOvEwdd6t6gCIiCM-mtiFG1hqugAGTQaIX1IHTrlOcOFFqFHrSOLXDRu-hRBrki93-7CRGP05xObv4-Xr7KH1cpSos</recordid><startdate>2002</startdate><enddate>2002</enddate><creator>Martinez-Ramon, M.</creator><creator>Arenas-Garcia, J.</creator><creator>Navia-Vazquez, A.</creator><creator>Figueiras-Vidal, A.R.</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>2002</creationdate><title>An adaptive combination of adaptive filters for plant identification</title><author>Martinez-Ramon, M. ; Arenas-Garcia, J. ; Navia-Vazquez, A. ; Figueiras-Vidal, A.R.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i175t-c8e2dee2103b92ff46814d4773d5e929b7256a4b1a74e94eb755f6712cafbe3d3</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2002</creationdate><topic>Adaptive filters</topic><topic>Convergence</topic><topic>Filtering algorithms</topic><topic>Least squares approximation</topic><topic>Robustness</topic><topic>Signal processing</topic><topic>Steady-state</topic><topic>System identification</topic><topic>Teleprinting</topic><topic>Transversal filters</topic><toplevel>online_resources</toplevel><creatorcontrib>Martinez-Ramon, M.</creatorcontrib><creatorcontrib>Arenas-Garcia, J.</creatorcontrib><creatorcontrib>Navia-Vazquez, A.</creatorcontrib><creatorcontrib>Figueiras-Vidal, A.R.</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan All Online (POP All Online) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Electronic Library (IEL)</collection><collection>IEEE Proceedings Order Plans (POP All) 1998-Present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Martinez-Ramon, M.</au><au>Arenas-Garcia, J.</au><au>Navia-Vazquez, A.</au><au>Figueiras-Vidal, A.R.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>An adaptive combination of adaptive filters for plant identification</atitle><btitle>2002 14th International Conference on Digital Signal Processing Proceedings. DSP 2002 (Cat. No.02TH8628)</btitle><stitle>ICDSP</stitle><date>2002</date><risdate>2002</risdate><volume>2</volume><spage>1195</spage><epage>1198 vol.2</epage><pages>1195-1198 vol.2</pages><isbn>9780780375031</isbn><isbn>0780375033</isbn><abstract>In this paper, we propose to adaptively combine two LMS adaptive transversal filters for plant identification. One of the filters has a high and the other a low adaption step, in order to combine good tracking capabilities under (fast) change conditions with a reduced convergence error along stationary periods. A brief discussion of the characteristics of the combination is included, emphasizing that it allows the possibility of dealing with "intermediate" rate of change situations, in opposition to (implicit or explicit) switching mechanisms. A selected illustrative simulation example shows the effectiveness of this approach. 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| identifier | ISBN: 9780780375031 |
| ispartof | 2002 14th International Conference on Digital Signal Processing Proceedings. DSP 2002 (Cat. No.02TH8628), 2002, Vol.2, p.1195-1198 vol.2 |
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| language | eng |
| recordid | cdi_ieee_primary_1028307 |
| source | IEEE Electronic Library (IEL) Conference Proceedings |
| subjects | Adaptive filters Convergence Filtering algorithms Least squares approximation Robustness Signal processing Steady-state System identification Teleprinting Transversal filters |
| title | An adaptive combination of adaptive filters for plant identification |
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