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Published in:
2013 | OriginalPaper | Chapter
A New Type of Wavelet Threshold Denoising Algorithm
Authors : Li Kun Xing, Sen Qi, Wen Jing Wang
Published in: Proceedings of The Eighth International Conference on Bio-Inspired Computing: Theories and Applications (BIC-TA), 2013
Publisher: Springer Berlin Heidelberg
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Abstract
According to spectrum subtraction, this paper puts forward a new type of threshold value determination algorithm. Firstly, through the artificial extraction or by the zero point detection method, extract background noise from no sound segment. Secondly, do wavelet decomposition with background noise, and determine the threshold value on the basis of each layer’s wavelet decomposition coefficient. Then, we can make a speech enhancement for the speech signal with noise. The simulation results show that this algorithm can effectively remove the noise component and keep the details of the useful signal characteristics very well. More over, the amount of calculation is far less than the traditional threshold algorithm’s.