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 in | 전기학회 논문지 P권, 63(3) Vol. 63P; no. 3; pp. 157 - 162 |
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| Main Authors | , |
| Format | Journal Article |
| Language | Korean |
| Published |
대한전기학회
2014
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| Subjects | |
| Online Access | Get full text |
| ISSN | 1229-800X 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. |
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| 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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| PublicationTitle | 전기학회 논문지 P권, 63(3) |
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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... 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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