A New Adaptive Filter Structure for Tracking Multiple Sinusoids
This paper presents a new cascade filtering structure using feedback signals for tracking the frequencies of multiple sinusoids. Its chief advantage lies in computational savings over earlier structures of this type. Simulation results show that this streamlined structure can also efficiently overco...
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| creator | Hanwu Sun Shue, L. Jiangfeng Chen |
| description | This paper presents a new cascade filtering structure using feedback signals for tracking the frequencies of multiple sinusoids. Its chief advantage lies in computational savings over earlier structures of this type. Simulation results show that this streamlined structure can also efficiently overcome "tracking ripple", delivering very good steady-state tracking |
| doi_str_mv | 10.1109/ICICS.2005.1689071 |
| format | Conference Proceeding |
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Its chief advantage lies in computational savings over earlier structures of this type. 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Its chief advantage lies in computational savings over earlier structures of this type. Simulation results show that this streamlined structure can also efficiently overcome "tracking ripple", delivering very good steady-state tracking</description><subject>Adaptive algorithm</subject><subject>adaptive filtering</subject><subject>Adaptive filters</subject><subject>Computational modeling</subject><subject>estimate</subject><subject>Feedback</subject><subject>Filtering</subject><subject>Frequency estimation</subject><subject>IIR filters</subject><subject>Signal processing</subject><subject>Sun</subject><subject>tracking</subject><subject>Transfer functions</subject><isbn>9780780392830</isbn><isbn>0780392833</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2005</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNotj8FKxDAURQMiKGN_QDf5gdaXJk2alZTiaGHURbsfkvRFonWmpKni3zvgXC6cuzpwCbllUDAG-r5ru7YvSoCqYLLWoNgFybSq4VSuy5rDFcmW5QNOERVXtbwmDw19xR_ajGZO4RvpNkwJI-1TXF1aI1J_jHSIxn2Gwzt9WacU5glpHw7rcgzjckMuvZkWzM7ckGH7OLTP-e7tqWubXR40pBy1t0yV4yigKq2VznFmlTRgrXAj58Kj8KeBNUPFpIPSiZE7ZdA7KazmG3L3rw2IuJ9j-DLxd39-yf8ANn1I3w</recordid><startdate>2005</startdate><enddate>2005</enddate><creator>Hanwu Sun</creator><creator>Shue, L.</creator><creator>Jiangfeng Chen</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>2005</creationdate><title>A New Adaptive Filter Structure for Tracking Multiple Sinusoids</title><author>Hanwu Sun ; Shue, L. ; Jiangfeng Chen</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i90t-e9fb172dd4052bb6cc31b76a0bb4cd334fe4fcd3e81e716c02c4d3c7aefc64b93</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2005</creationdate><topic>Adaptive algorithm</topic><topic>adaptive filtering</topic><topic>Adaptive filters</topic><topic>Computational modeling</topic><topic>estimate</topic><topic>Feedback</topic><topic>Filtering</topic><topic>Frequency estimation</topic><topic>IIR filters</topic><topic>Signal processing</topic><topic>Sun</topic><topic>tracking</topic><topic>Transfer functions</topic><toplevel>online_resources</toplevel><creatorcontrib>Hanwu Sun</creatorcontrib><creatorcontrib>Shue, L.</creatorcontrib><creatorcontrib>Jiangfeng Chen</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>Hanwu Sun</au><au>Shue, L.</au><au>Jiangfeng Chen</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>A New Adaptive Filter Structure for Tracking Multiple Sinusoids</atitle><btitle>2005 5th International Conference on Information Communications & Signal Processing</btitle><stitle>ICICS</stitle><date>2005</date><risdate>2005</risdate><spage>377</spage><epage>380</epage><pages>377-380</pages><isbn>9780780392830</isbn><isbn>0780392833</isbn><abstract>This paper presents a new cascade filtering structure using feedback signals for tracking the frequencies of multiple sinusoids. Its chief advantage lies in computational savings over earlier structures of this type. Simulation results show that this streamlined structure can also efficiently overcome "tracking ripple", delivering very good steady-state tracking</abstract><pub>IEEE</pub><doi>10.1109/ICICS.2005.1689071</doi><tpages>4</tpages></addata></record> |
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| ispartof | 2005 5th International Conference on Information Communications & Signal Processing, 2005, p.377-380 |
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| language | eng |
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| source | IEEE Electronic Library (IEL) Conference Proceedings |
| subjects | Adaptive algorithm adaptive filtering Adaptive filters Computational modeling estimate Feedback Filtering Frequency estimation IIR filters Signal processing Sun tracking Transfer functions |
| title | A New Adaptive Filter Structure for Tracking Multiple Sinusoids |
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