Robust adaptive algorithm for active control of impulsive noise
نویسندگان
چکیده
منابع مشابه
Active Control of Impulsive Noise
This report presents about the comparison of the performance among four different adaptive algorithms for suppressing impulsive noise. They are filtered-x least mean square (FXLMS) algorithm, least mean M-estimate (LMM) algorithm, filtered-x least mean M-estimate (FXLMM) algorithm, and a modified FXLMM algorithm. A designed noise, which is composed of impulsive noise and background noise, is us...
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Active noise control is gaining popularity in recent years. Especially, active control of impulsive noise is of great interest. Due to specific nature of such noise, standard approach to active control is not satisfying. This paper reviews existing algorithms specifically developed for impulsive noise control. Performance of the algorithms is verified using computer simulations and several nois...
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Impulsive noise is often encountered in the practical active noise control (ANC) applications. Traditional ANC algorithms fail to control such noise. Derived by minimizing the l1 norm of an estimated a posteriori error vector, a new filtered-x affine projection sign algorithm (NFxAPSA) is proposed to efficiently and effectively suppress impulsive noise. Two typical extensions, such as variable ...
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ژورنال
عنوان ژورنال: EURASIP Journal on Advances in Signal Processing
سال: 2016
ISSN: 1687-6180
DOI: 10.1186/s13634-016-0344-0