Title : ( Acoustic Noise Cancellation Based on MCC Adaptive Algorithm )
Authors: Mojtaba Hajiabadi , Hossein Khoshbin Ghomash ,
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Abstract
The least mean square (LMS) algorithm is widely used in acoustic noise cancellation (ANC). Impulsive noise is an important feature in the ANC application that have paid special attention, recently. Due to the poor performance of the LMS algorithm in the presence of impulsive and nonGaussian noise, maximum correntropy criterion (MCC) is utilized in this paper for ANC application to eliminate impulsive noise from speech signal. Simulation results indicates the superiority of the MCC algorithm in presence of impulsive noise in speech data.
Keywords
Adaptive filter; LMS algorithm; acoustic noise cancellation; impulsive noise; MCC algorithm
@inproceedings{paperid:1049135,
author = {Hajiabadi, Mojtaba and Khoshbin Ghomash, Hossein},
title = {Acoustic Noise Cancellation Based on MCC Adaptive Algorithm},
booktitle = {کنفرانس مهندسی برق ICEEE2015},
year = {2015},
location = {گناباد, IRAN},
keywords = {Adaptive filter; LMS algorithm; acoustic noise
cancellation; impulsive noise; MCC algorithm},
}
%0 Conference Proceedings
%T Acoustic Noise Cancellation Based on MCC Adaptive Algorithm
%A Hajiabadi, Mojtaba
%A Khoshbin Ghomash, Hossein
%J کنفرانس مهندسی برق ICEEE2015
%D 2015
