Adaptive active noise control with genetic algorithm
The basic objective of active noise control (ANC) is to use adaptive control method to cancel the low frequency noise in different environments. It is based on the principle of superposition where a secondary anti-noise of equal amplitude and opposite phase is generated to super-impose on the primar...
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sg-ntu-dr.10356-131942023-07-04T16:38:00Z Adaptive active noise control with genetic algorithm Yang, Xiaoguang Zhou, Rujing School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering::Computer hardware, software and systems The basic objective of active noise control (ANC) is to use adaptive control method to cancel the low frequency noise in different environments. It is based on the principle of superposition where a secondary anti-noise of equal amplitude and opposite phase is generated to super-impose on the primary noise. Master of Engineering 2008-08-18T07:28:08Z 2008-10-20T07:18:19Z 2008-08-18T07:28:08Z 2008-10-20T07:18:19Z 1999 1999 Thesis http://hdl.handle.net/10356/13194 en 133 p. application/pdf |
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DRNTU::Engineering::Electrical and electronic engineering::Computer hardware, software and systems Yang, Xiaoguang Adaptive active noise control with genetic algorithm |
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The basic objective of active noise control (ANC) is to use adaptive control method to cancel the low frequency noise in different environments. It is based on the principle of superposition where a secondary anti-noise of equal amplitude and opposite phase is generated to super-impose on the primary noise. |
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Zhou, Rujing |
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Zhou, Rujing Yang, Xiaoguang |
format |
Theses and Dissertations |
author |
Yang, Xiaoguang |
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Yang, Xiaoguang |
title |
Adaptive active noise control with genetic algorithm |
title_short |
Adaptive active noise control with genetic algorithm |
title_full |
Adaptive active noise control with genetic algorithm |
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Adaptive active noise control with genetic algorithm |
title_full_unstemmed |
Adaptive active noise control with genetic algorithm |
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adaptive active noise control with genetic algorithm |
publishDate |
2008 |
url |
http://hdl.handle.net/10356/13194 |
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1772828864334004224 |