A Novel Approach to Active Noise Control using Normalized Clipped Adaptive Algorithm
In this paper, an efficient normalization based adaptive algorithm is used for active noise control in mechanical systems in order to reject extensive disturbances. The proposed implementations are suitable in applications like various motors, generators, aircrafts, battle field and elevators, etc w...
Ausführliche Beschreibung
Autor*in: |
Mouli, A. Chandra [verfasserIn] Ratnam, Ch [verfasserIn] |
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E-Artikel |
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Sprache: |
Englisch |
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2013 |
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Umfang: |
1 Online-Ressource |
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Übergeordnetes Werk: |
Enthalten in: International journal of manufacturing, materials, and mechanical engineering - Hershey, Pa : IGI Global, 2011, 3(2013), 3, Seite 76-88 |
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Übergeordnetes Werk: |
volume:3 ; year:2013 ; number:3 ; pages:76-88 |
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DOI / URN: |
10.4018/ijmmme.2013070105 |
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520 | |a In this paper, an efficient normalization based adaptive algorithm is used for active noise control in mechanical systems in order to reject extensive disturbances. The proposed implementations are suitable in applications like various motors, generators, aircrafts, battle field and elevators, etc where noise reduction is very important. In the experiments, the authors used several variants of the familiar Filtered X Least Mean Square (FXLMS) algorithm. In FXLMS the vector of past inputs is first filtered by the secondary path transfer function, hence it is named as filtered X LMS. These modified results normalized FXLMS (NFXLMS) and normalized clipped FXLMS (NCFXLMS) algorithms, leads to fast convergence, better noise rejection capability. The NCFXLMS algorithm requires only half of the multiplications requires than NFXLMS. This type of low complexity strategy is not used in active noise control application in mechatronic systems. Simulation results prove that the proposed active noise cancellers provide better performance in terms of signal to noise ratio than the conventional FXLMS | ||
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10.4018/ijmmme.2013070105 doi (DE-627)NLEJ251821471 (VZGNL)10.4018/ijmmme.2013070105 DE-627 ger DE-627 rakwb eng Mouli, A. Chandra verfasserin aut A Novel Approach to Active Noise Control using Normalized Clipped Adaptive Algorithm 2013 1 Online-Ressource Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier In this paper, an efficient normalization based adaptive algorithm is used for active noise control in mechanical systems in order to reject extensive disturbances. The proposed implementations are suitable in applications like various motors, generators, aircrafts, battle field and elevators, etc where noise reduction is very important. In the experiments, the authors used several variants of the familiar Filtered X Least Mean Square (FXLMS) algorithm. In FXLMS the vector of past inputs is first filtered by the secondary path transfer function, hence it is named as filtered X LMS. These modified results normalized FXLMS (NFXLMS) and normalized clipped FXLMS (NCFXLMS) algorithms, leads to fast convergence, better noise rejection capability. The NCFXLMS algorithm requires only half of the multiplications requires than NFXLMS. This type of low complexity strategy is not used in active noise control application in mechatronic systems. Simulation results prove that the proposed active noise cancellers provide better performance in terms of signal to noise ratio than the conventional FXLMS Active Noise Control Convergence Filtered X Least Mean Square (FXLMS) Algorithm Mechanical Noises Mechatronics Normalized Clipped Adaptive Algorithm Ratnam, Ch verfasserin aut Enthalten in International journal of manufacturing, materials, and mechanical engineering Hershey, Pa : IGI Global, 2011 3(2013), 3, Seite 76-88 Online-Ressource (DE-627)NLEJ244419337 (DE-600)2703520-7 2156-1672 nnns volume:3 year:2013 number:3 pages:76-88 http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/ijmmme.2013070105 X:IGIG Verlag Deutschlandweit zugänglich http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/ijmmme.2013070105&buylink=true Abstract ZDB-1-GIS GBV_NL_ARTICLE AR 3 2013 3 76-88 |
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10.4018/ijmmme.2013070105 doi (DE-627)NLEJ251821471 (VZGNL)10.4018/ijmmme.2013070105 DE-627 ger DE-627 rakwb eng Mouli, A. Chandra verfasserin aut A Novel Approach to Active Noise Control using Normalized Clipped Adaptive Algorithm 2013 1 Online-Ressource Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier In this paper, an efficient normalization based adaptive algorithm is used for active noise control in mechanical systems in order to reject extensive disturbances. The proposed implementations are suitable in applications like various motors, generators, aircrafts, battle field and elevators, etc where noise reduction is very important. In the experiments, the authors used several variants of the familiar Filtered X Least Mean Square (FXLMS) algorithm. In FXLMS the vector of past inputs is first filtered by the secondary path transfer function, hence it is named as filtered X LMS. These modified results normalized FXLMS (NFXLMS) and normalized clipped FXLMS (NCFXLMS) algorithms, leads to fast convergence, better noise rejection capability. The NCFXLMS algorithm requires only half of the multiplications requires than NFXLMS. This type of low complexity strategy is not used in active noise control application in mechatronic systems. Simulation results prove that the proposed active noise cancellers provide better performance in terms of signal to noise ratio than the conventional FXLMS Active Noise Control Convergence Filtered X Least Mean Square (FXLMS) Algorithm Mechanical Noises Mechatronics Normalized Clipped Adaptive Algorithm Ratnam, Ch verfasserin aut Enthalten in International journal of manufacturing, materials, and mechanical engineering Hershey, Pa : IGI Global, 2011 3(2013), 3, Seite 76-88 Online-Ressource (DE-627)NLEJ244419337 (DE-600)2703520-7 2156-1672 nnns volume:3 year:2013 number:3 pages:76-88 http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/ijmmme.2013070105 X:IGIG Verlag Deutschlandweit zugänglich http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/ijmmme.2013070105&buylink=true Abstract ZDB-1-GIS GBV_NL_ARTICLE AR 3 2013 3 76-88 |
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10.4018/ijmmme.2013070105 doi (DE-627)NLEJ251821471 (VZGNL)10.4018/ijmmme.2013070105 DE-627 ger DE-627 rakwb eng Mouli, A. Chandra verfasserin aut A Novel Approach to Active Noise Control using Normalized Clipped Adaptive Algorithm 2013 1 Online-Ressource Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier In this paper, an efficient normalization based adaptive algorithm is used for active noise control in mechanical systems in order to reject extensive disturbances. The proposed implementations are suitable in applications like various motors, generators, aircrafts, battle field and elevators, etc where noise reduction is very important. In the experiments, the authors used several variants of the familiar Filtered X Least Mean Square (FXLMS) algorithm. In FXLMS the vector of past inputs is first filtered by the secondary path transfer function, hence it is named as filtered X LMS. These modified results normalized FXLMS (NFXLMS) and normalized clipped FXLMS (NCFXLMS) algorithms, leads to fast convergence, better noise rejection capability. The NCFXLMS algorithm requires only half of the multiplications requires than NFXLMS. This type of low complexity strategy is not used in active noise control application in mechatronic systems. Simulation results prove that the proposed active noise cancellers provide better performance in terms of signal to noise ratio than the conventional FXLMS Active Noise Control Convergence Filtered X Least Mean Square (FXLMS) Algorithm Mechanical Noises Mechatronics Normalized Clipped Adaptive Algorithm Ratnam, Ch verfasserin aut Enthalten in International journal of manufacturing, materials, and mechanical engineering Hershey, Pa : IGI Global, 2011 3(2013), 3, Seite 76-88 Online-Ressource (DE-627)NLEJ244419337 (DE-600)2703520-7 2156-1672 nnns volume:3 year:2013 number:3 pages:76-88 http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/ijmmme.2013070105 X:IGIG Verlag Deutschlandweit zugänglich http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/ijmmme.2013070105&buylink=true Abstract ZDB-1-GIS GBV_NL_ARTICLE AR 3 2013 3 76-88 |
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10.4018/ijmmme.2013070105 doi (DE-627)NLEJ251821471 (VZGNL)10.4018/ijmmme.2013070105 DE-627 ger DE-627 rakwb eng Mouli, A. Chandra verfasserin aut A Novel Approach to Active Noise Control using Normalized Clipped Adaptive Algorithm 2013 1 Online-Ressource Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier In this paper, an efficient normalization based adaptive algorithm is used for active noise control in mechanical systems in order to reject extensive disturbances. The proposed implementations are suitable in applications like various motors, generators, aircrafts, battle field and elevators, etc where noise reduction is very important. In the experiments, the authors used several variants of the familiar Filtered X Least Mean Square (FXLMS) algorithm. In FXLMS the vector of past inputs is first filtered by the secondary path transfer function, hence it is named as filtered X LMS. These modified results normalized FXLMS (NFXLMS) and normalized clipped FXLMS (NCFXLMS) algorithms, leads to fast convergence, better noise rejection capability. The NCFXLMS algorithm requires only half of the multiplications requires than NFXLMS. This type of low complexity strategy is not used in active noise control application in mechatronic systems. Simulation results prove that the proposed active noise cancellers provide better performance in terms of signal to noise ratio than the conventional FXLMS Active Noise Control Convergence Filtered X Least Mean Square (FXLMS) Algorithm Mechanical Noises Mechatronics Normalized Clipped Adaptive Algorithm Ratnam, Ch verfasserin aut Enthalten in International journal of manufacturing, materials, and mechanical engineering Hershey, Pa : IGI Global, 2011 3(2013), 3, Seite 76-88 Online-Ressource (DE-627)NLEJ244419337 (DE-600)2703520-7 2156-1672 nnns volume:3 year:2013 number:3 pages:76-88 http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/ijmmme.2013070105 X:IGIG Verlag Deutschlandweit zugänglich http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/ijmmme.2013070105&buylink=true Abstract ZDB-1-GIS GBV_NL_ARTICLE AR 3 2013 3 76-88 |
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10.4018/ijmmme.2013070105 doi (DE-627)NLEJ251821471 (VZGNL)10.4018/ijmmme.2013070105 DE-627 ger DE-627 rakwb eng Mouli, A. Chandra verfasserin aut A Novel Approach to Active Noise Control using Normalized Clipped Adaptive Algorithm 2013 1 Online-Ressource Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier In this paper, an efficient normalization based adaptive algorithm is used for active noise control in mechanical systems in order to reject extensive disturbances. The proposed implementations are suitable in applications like various motors, generators, aircrafts, battle field and elevators, etc where noise reduction is very important. In the experiments, the authors used several variants of the familiar Filtered X Least Mean Square (FXLMS) algorithm. In FXLMS the vector of past inputs is first filtered by the secondary path transfer function, hence it is named as filtered X LMS. These modified results normalized FXLMS (NFXLMS) and normalized clipped FXLMS (NCFXLMS) algorithms, leads to fast convergence, better noise rejection capability. The NCFXLMS algorithm requires only half of the multiplications requires than NFXLMS. This type of low complexity strategy is not used in active noise control application in mechatronic systems. Simulation results prove that the proposed active noise cancellers provide better performance in terms of signal to noise ratio than the conventional FXLMS Active Noise Control Convergence Filtered X Least Mean Square (FXLMS) Algorithm Mechanical Noises Mechatronics Normalized Clipped Adaptive Algorithm Ratnam, Ch verfasserin aut Enthalten in International journal of manufacturing, materials, and mechanical engineering Hershey, Pa : IGI Global, 2011 3(2013), 3, Seite 76-88 Online-Ressource (DE-627)NLEJ244419337 (DE-600)2703520-7 2156-1672 nnns volume:3 year:2013 number:3 pages:76-88 http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/ijmmme.2013070105 X:IGIG Verlag Deutschlandweit zugänglich http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/ijmmme.2013070105&buylink=true Abstract ZDB-1-GIS GBV_NL_ARTICLE AR 3 2013 3 76-88 |
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In this paper, an efficient normalization based adaptive algorithm is used for active noise control in mechanical systems in order to reject extensive disturbances. The proposed implementations are suitable in applications like various motors, generators, aircrafts, battle field and elevators, etc where noise reduction is very important. In the experiments, the authors used several variants of the familiar Filtered X Least Mean Square (FXLMS) algorithm. In FXLMS the vector of past inputs is first filtered by the secondary path transfer function, hence it is named as filtered X LMS. These modified results normalized FXLMS (NFXLMS) and normalized clipped FXLMS (NCFXLMS) algorithms, leads to fast convergence, better noise rejection capability. The NCFXLMS algorithm requires only half of the multiplications requires than NFXLMS. This type of low complexity strategy is not used in active noise control application in mechatronic systems. Simulation results prove that the proposed active noise cancellers provide better performance in terms of signal to noise ratio than the conventional FXLMS |
abstractGer |
In this paper, an efficient normalization based adaptive algorithm is used for active noise control in mechanical systems in order to reject extensive disturbances. The proposed implementations are suitable in applications like various motors, generators, aircrafts, battle field and elevators, etc where noise reduction is very important. In the experiments, the authors used several variants of the familiar Filtered X Least Mean Square (FXLMS) algorithm. In FXLMS the vector of past inputs is first filtered by the secondary path transfer function, hence it is named as filtered X LMS. These modified results normalized FXLMS (NFXLMS) and normalized clipped FXLMS (NCFXLMS) algorithms, leads to fast convergence, better noise rejection capability. The NCFXLMS algorithm requires only half of the multiplications requires than NFXLMS. This type of low complexity strategy is not used in active noise control application in mechatronic systems. Simulation results prove that the proposed active noise cancellers provide better performance in terms of signal to noise ratio than the conventional FXLMS |
abstract_unstemmed |
In this paper, an efficient normalization based adaptive algorithm is used for active noise control in mechanical systems in order to reject extensive disturbances. The proposed implementations are suitable in applications like various motors, generators, aircrafts, battle field and elevators, etc where noise reduction is very important. In the experiments, the authors used several variants of the familiar Filtered X Least Mean Square (FXLMS) algorithm. In FXLMS the vector of past inputs is first filtered by the secondary path transfer function, hence it is named as filtered X LMS. These modified results normalized FXLMS (NFXLMS) and normalized clipped FXLMS (NCFXLMS) algorithms, leads to fast convergence, better noise rejection capability. The NCFXLMS algorithm requires only half of the multiplications requires than NFXLMS. This type of low complexity strategy is not used in active noise control application in mechatronic systems. Simulation results prove that the proposed active noise cancellers provide better performance in terms of signal to noise ratio than the conventional FXLMS |
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<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a22002652 4500</leader><controlfield tag="001">NLEJ251821471</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20231205143947.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">231128s2013 xx |||||o 00| ||eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.4018/ijmmme.2013070105</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)NLEJ251821471</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(VZGNL)10.4018/ijmmme.2013070105</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Mouli, A. Chandra</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="2"><subfield code="a">A Novel Approach to Active Noise Control using Normalized Clipped Adaptive Algorithm</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2013</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">1 Online-Ressource</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">Computermedien</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Online-Ressource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">In this paper, an efficient normalization based adaptive algorithm is used for active noise control in mechanical systems in order to reject extensive disturbances. The proposed implementations are suitable in applications like various motors, generators, aircrafts, battle field and elevators, etc where noise reduction is very important. In the experiments, the authors used several variants of the familiar Filtered X Least Mean Square (FXLMS) algorithm. In FXLMS the vector of past inputs is first filtered by the secondary path transfer function, hence it is named as filtered X LMS. These modified results normalized FXLMS (NFXLMS) and normalized clipped FXLMS (NCFXLMS) algorithms, leads to fast convergence, better noise rejection capability. The NCFXLMS algorithm requires only half of the multiplications requires than NFXLMS. This type of low complexity strategy is not used in active noise control application in mechatronic systems. Simulation results prove that the proposed active noise cancellers provide better performance in terms of signal to noise ratio than the conventional FXLMS</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">Active Noise Control</subfield><subfield code="a">Convergence</subfield><subfield code="a">Filtered X Least Mean Square (FXLMS) Algorithm</subfield><subfield code="a">Mechanical Noises</subfield><subfield code="a">Mechatronics</subfield><subfield code="a">Normalized Clipped Adaptive Algorithm</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Ratnam, Ch</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">Enthalten in</subfield><subfield code="t">International journal of manufacturing, materials, and mechanical engineering</subfield><subfield code="d">Hershey, Pa : IGI Global, 2011</subfield><subfield code="g">3(2013), 3, Seite 76-88</subfield><subfield code="h">Online-Ressource</subfield><subfield code="w">(DE-627)NLEJ244419337</subfield><subfield code="w">(DE-600)2703520-7</subfield><subfield code="x">2156-1672</subfield><subfield code="7">nnns</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:3</subfield><subfield code="g">year:2013</subfield><subfield code="g">number:3</subfield><subfield code="g">pages:76-88</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/ijmmme.2013070105</subfield><subfield code="m">X:IGIG</subfield><subfield code="x">Verlag</subfield><subfield code="z">Deutschlandweit zugänglich</subfield></datafield><datafield tag="856" ind1="4" ind2="2"><subfield code="u">http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/ijmmme.2013070105&buylink=true</subfield><subfield code="3">Abstract</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-1-GIS</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_NL_ARTICLE</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="d">3</subfield><subfield code="j">2013</subfield><subfield code="e">3</subfield><subfield code="h">76-88</subfield></datafield></record></collection>
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