Two discrete oscillator based adaptive notch filters (OSC ANFs) for noisy sinusoids
We propose two adaptive notch filters (ANFs) for sinusoids embedded in a noisy environment. Both of the ANFs, as usual, are structurally composed of a time-variant infinite-impulse-response (IIR) filter that serves as a line-enhancer and an adaptive mechanism that serves as a frequency estimator. Th...
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| Veröffentlicht in: | IEEE transactions on signal processing 2005-02, Vol.53 (2), p.528-538 |
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| container_title | IEEE transactions on signal processing |
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| creator | LIAO, Ho-En |
| description | We propose two adaptive notch filters (ANFs) for sinusoids embedded in a noisy environment. Both of the ANFs, as usual, are structurally composed of a time-variant infinite-impulse-response (IIR) filter that serves as a line-enhancer and an adaptive mechanism that serves as a frequency estimator. The novelty of ANFs is that the derivations of the coefficient-updating algorithms for the adaptive mechanisms are both inspired by a discrete oscillator model and, moreover, are both independent of the structures of the line-enhancement filters chosen. A second-order IIR bandpass filter is selected to serve the line-enhancement portions for both of the two ANFs. Analyses and computer simulations show that the performances of the proposed ANFs are very promising. |
| doi_str_mv | 10.1109/TSP.2004.840813 |
| format | Article |
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Both of the ANFs, as usual, are structurally composed of a time-variant infinite-impulse-response (IIR) filter that serves as a line-enhancer and an adaptive mechanism that serves as a frequency estimator. The novelty of ANFs is that the derivations of the coefficient-updating algorithms for the adaptive mechanisms are both inspired by a discrete oscillator model and, moreover, are both independent of the structures of the line-enhancement filters chosen. A second-order IIR bandpass filter is selected to serve the line-enhancement portions for both of the two ANFs. Analyses and computer simulations show that the performances of the proposed ANFs are very promising.</description><identifier>ISSN: 1053-587X</identifier><identifier>EISSN: 1941-0476</identifier><identifier>DOI: 10.1109/TSP.2004.840813</identifier><identifier>CODEN: ITPRED</identifier><language>eng</language><publisher>New York, NY: IEEE</publisher><subject>Adaptive algorithms ; Adaptive filters ; Adaptive notch filter ; Adaptive structures ; Algorithms ; Applied sciences ; Band pass filters ; Computer simulation ; Convergence ; Derivation ; Detection, estimation, filtering, equalization, prediction ; discrete oscillator ; Estimators ; Exact sciences and technology ; Finite impulse response filter ; Frequency estimation ; IIR filters ; Information, signal and communications theory ; Lagrange multiplier ; line enhancement ; MSE ; Notch filters ; Oscillators ; Performance analysis ; Radar detection ; Signal and communications theory ; Signal, noise ; Telecommunications and information theory ; Working environment noise</subject><ispartof>IEEE transactions on signal processing, 2005-02, Vol.53 (2), p.528-538</ispartof><rights>2005 INIST-CNRS</rights><rights>Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2005</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c447t-948ec8905407ebff1adda1247c652e90a720ac703f12abb8f7a70bc2ac7bd0dd3</citedby><cites>FETCH-LOGICAL-c447t-948ec8905407ebff1adda1247c652e90a720ac703f12abb8f7a70bc2ac7bd0dd3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/1381745$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>314,776,780,792,27901,27902,54733</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/1381745$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=16416399$$DView record in Pascal Francis$$Hfree_for_read</backlink></links><search><creatorcontrib>LIAO, Ho-En</creatorcontrib><title>Two discrete oscillator based adaptive notch filters (OSC ANFs) for noisy sinusoids</title><title>IEEE transactions on signal processing</title><addtitle>TSP</addtitle><description>We propose two adaptive notch filters (ANFs) for sinusoids embedded in a noisy environment. Both of the ANFs, as usual, are structurally composed of a time-variant infinite-impulse-response (IIR) filter that serves as a line-enhancer and an adaptive mechanism that serves as a frequency estimator. The novelty of ANFs is that the derivations of the coefficient-updating algorithms for the adaptive mechanisms are both inspired by a discrete oscillator model and, moreover, are both independent of the structures of the line-enhancement filters chosen. A second-order IIR bandpass filter is selected to serve the line-enhancement portions for both of the two ANFs. Analyses and computer simulations show that the performances of the proposed ANFs are very promising.</description><subject>Adaptive algorithms</subject><subject>Adaptive filters</subject><subject>Adaptive notch filter</subject><subject>Adaptive structures</subject><subject>Algorithms</subject><subject>Applied sciences</subject><subject>Band pass filters</subject><subject>Computer simulation</subject><subject>Convergence</subject><subject>Derivation</subject><subject>Detection, estimation, filtering, equalization, prediction</subject><subject>discrete oscillator</subject><subject>Estimators</subject><subject>Exact sciences and technology</subject><subject>Finite impulse response filter</subject><subject>Frequency estimation</subject><subject>IIR filters</subject><subject>Information, signal and communications theory</subject><subject>Lagrange multiplier</subject><subject>line enhancement</subject><subject>MSE</subject><subject>Notch filters</subject><subject>Oscillators</subject><subject>Performance analysis</subject><subject>Radar detection</subject><subject>Signal and communications theory</subject><subject>Signal, noise</subject><subject>Telecommunications and information theory</subject><subject>Working environment noise</subject><issn>1053-587X</issn><issn>1941-0476</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2005</creationdate><recordtype>article</recordtype><sourceid>RIE</sourceid><recordid>eNp9kc1r3DAQxU1ooWmacw-5iEKa9uDNjC1b0jEsTRoITWC30JuQ9UEVHGuj8abkv6-WDQR66GGYYeY3Dx6vqj4iLBBBna9Xd4sGgC8kB4ntQXWIimMNXPRvygxdW3dS_HpXvSe6B0DOVX9YrdZ_EnORbPazZ4lsHEczp8wGQ94x48xmjk-eTWm2v1mI4-wzsS-3qyW7-HFJX1ko7JQiPTOK05ZSdPShehvMSP74pR9VPy-_rZff65vbq-vlxU1tORdzrbj0ViroOAg_hIDGOYMNF7bvGq_AiAaMFdAGbMwwyCCMgME2ZTc4cK49qs72upucHreeZv1QjPhiYPJpS1qqHktBU8jP_yUbiSiQQwE__QPep22eigste4VctGKndr6HbE5E2Qe9yfHB5GeNoHdZ6JKF3mWh91mUj9MXWUPWjCGbyUZ6fes59q1ShTvZc9F7_3puJQretX8BZX6ReA</recordid><startdate>20050201</startdate><enddate>20050201</enddate><creator>LIAO, Ho-En</creator><general>IEEE</general><general>Institute of Electrical and Electronics Engineers</general><general>The Institute of Electrical and Electronics Engineers, Inc. (IEEE)</general><scope>97E</scope><scope>RIA</scope><scope>RIE</scope><scope>IQODW</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>20050201</creationdate><title>Two discrete oscillator based adaptive notch filters (OSC ANFs) for noisy sinusoids</title><author>LIAO, Ho-En</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c447t-948ec8905407ebff1adda1247c652e90a720ac703f12abb8f7a70bc2ac7bd0dd3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2005</creationdate><topic>Adaptive algorithms</topic><topic>Adaptive filters</topic><topic>Adaptive notch filter</topic><topic>Adaptive structures</topic><topic>Algorithms</topic><topic>Applied sciences</topic><topic>Band pass filters</topic><topic>Computer simulation</topic><topic>Convergence</topic><topic>Derivation</topic><topic>Detection, estimation, filtering, equalization, prediction</topic><topic>discrete oscillator</topic><topic>Estimators</topic><topic>Exact sciences and technology</topic><topic>Finite impulse response filter</topic><topic>Frequency estimation</topic><topic>IIR filters</topic><topic>Information, signal and communications theory</topic><topic>Lagrange multiplier</topic><topic>line enhancement</topic><topic>MSE</topic><topic>Notch filters</topic><topic>Oscillators</topic><topic>Performance analysis</topic><topic>Radar detection</topic><topic>Signal and communications theory</topic><topic>Signal, noise</topic><topic>Telecommunications and information theory</topic><topic>Working environment noise</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>LIAO, Ho-En</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>Pascal-Francis</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 transactions on signal processing</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>LIAO, Ho-En</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Two discrete oscillator based adaptive notch filters (OSC ANFs) for noisy sinusoids</atitle><jtitle>IEEE transactions on signal processing</jtitle><stitle>TSP</stitle><date>2005-02-01</date><risdate>2005</risdate><volume>53</volume><issue>2</issue><spage>528</spage><epage>538</epage><pages>528-538</pages><issn>1053-587X</issn><eissn>1941-0476</eissn><coden>ITPRED</coden><abstract>We propose two adaptive notch filters (ANFs) for sinusoids embedded in a noisy environment. Both of the ANFs, as usual, are structurally composed of a time-variant infinite-impulse-response (IIR) filter that serves as a line-enhancer and an adaptive mechanism that serves as a frequency estimator. The novelty of ANFs is that the derivations of the coefficient-updating algorithms for the adaptive mechanisms are both inspired by a discrete oscillator model and, moreover, are both independent of the structures of the line-enhancement filters chosen. A second-order IIR bandpass filter is selected to serve the line-enhancement portions for both of the two ANFs. Analyses and computer simulations show that the performances of the proposed ANFs are very promising.</abstract><cop>New York, NY</cop><pub>IEEE</pub><doi>10.1109/TSP.2004.840813</doi><tpages>11</tpages></addata></record> |
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| issn | 1053-587X 1941-0476 |
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| subjects | Adaptive algorithms Adaptive filters Adaptive notch filter Adaptive structures Algorithms Applied sciences Band pass filters Computer simulation Convergence Derivation Detection, estimation, filtering, equalization, prediction discrete oscillator Estimators Exact sciences and technology Finite impulse response filter Frequency estimation IIR filters Information, signal and communications theory Lagrange multiplier line enhancement MSE Notch filters Oscillators Performance analysis Radar detection Signal and communications theory Signal, noise Telecommunications and information theory Working environment noise |
| title | Two discrete oscillator based adaptive notch filters (OSC ANFs) for noisy sinusoids |
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