도로환경 정온화의 실시간 적용을 위한 Co-LMS 알고리즘의 특성 고찰

The active noise control(ANC) method for noise problems solution generally uses filtered-X LMS algorithms. However, Filtered-X LMS algorithms were mainly used but these had a limitation that had to measure a transfer function of secondary noise path. However, newly proposed correlation-LMS algorithm...

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Published in전기학회 논문지 P권, 63(3) Vol. 63P; no. 3; pp. 157 - 162
Main Authors 문학룡(Hak-ryong Moon), 손진근(Jin-geun Shon)
Format Journal Article
LanguageKorean
Published 대한전기학회 2014
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ISSN1229-800X
2586-7792

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Abstract The active noise control(ANC) method for noise problems solution generally uses filtered-X LMS algorithms. However, Filtered-X LMS algorithms were mainly used but these had a limitation that had to measure a transfer function of secondary noise path. However, newly proposed correlation-LMS algorithms have slightly much calculation and are minutely behind performance, these have a advantage not in measuring transfer function onerously so that we can easily adapt these in real time. Thus Co-LMS algorithm was developed to improve the real-time implementation performance under the variable input noise such as road noise environment. In this paper, the performance of the Co-LMS is presented in comparison with that of the Filtered-X LMS algorithm. Simulation results show that active noise control using Co-LMS have slightly much calculation and are minutely behind performance, these have a advantage not in measuring transfer function onerously so that we can easily adapt these in real time.
AbstractList The active noise control(ANC) method for noise problems solution generally uses filtered-X LMS algorithms. However, Filtered-X LMS algorithms were mainly used but these had a limitation that had to measure a transfer function of secondary noise path. However, newly proposed correlation-LMS algorithms have slightly much calculation and are minutely behind performance, these have a advantage not in measuring transfer function onerously so that we can easily adapt these in real time. Thus Co-LMS algorithm was developed to improve the real-time implementation performance under the variable input noise such as road noise environment. In this paper, the performance of the Co-LMS is presented in comparison with that of the Filtered-X LMS algorithm. Simulation results show that active noise control using Co-LMS have slightly much calculation and are minutely behind performance, these have a advantage not in measuring transfer function onerously so that we can easily adapt these in real time.
The active noise control(ANC) method for noise problems solution generally uses filtered-X LMS algorithms. However, Filtered-X LMS algorithms were mainly used but these had a limitation that had to measure a transferfunction of secondary noise path. However, newly proposed correlation-LMS algorithms have slightly much calculationand are minutely behind performance, these have a advantage not in measuring transfer function onerously so that wecan easily adapt these in real time. Thus Co-LMS algorithm was developed to improve the real-time implementationperformance under the variable input noise such as road noise environment. In this paper, the performance of theCo-LMS is presented in comparison with that of the Filtered-X LMS algorithm. Simulation results show that activenoise control using Co-LMS have slightly much calculation and are minutely behind performance, these have a advantagenot in measuring transfer function onerously so that we can easily adapt these in real time. KCI Citation Count: 3
Author 문학룡(Hak-ryong Moon)
손진근(Jin-geun Shon)
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DocumentTitleAlternate A Study on the Co-LMS Algorithm Characteristics of Real-time Applicants for Road Environment Calming
DocumentTitle_FL A Study on the Co-LMS Algorithm Characteristics of Real-time Applicants for Road Environment Calming
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Keywords Co(correlation)- least mean square(LMS)
Filtered-X LMS
Road noiseenvironment
Transfer function
Active noise control(ANC)
Secondary noise path
Road noise environment
Co(correlation)-least mean square(LMS)
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Snippet The active noise control(ANC) method for noise problems solution generally uses filtered-X LMS algorithms. However, Filtered-X LMS algorithms were mainly used...
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Title 도로환경 정온화의 실시간 적용을 위한 Co-LMS 알고리즘의 특성 고찰
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