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A New Type of Wavelet Threshold Denoising Algorithm

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Book cover Proceedings of The Eighth International Conference on Bio-Inspired Computing: Theories and Applications (BIC-TA), 2013

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 212))

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.

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Authors and Affiliations

  1. College of Electrical and Information Engineering, Anhui University of Science and Technology, Huainan, 232001, Anhui, China

    Li Kun Xing, Sen Qi & Wen Jing Wang

Authors
  1. Li Kun Xing
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  2. Sen Qi
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  3. Wen Jing Wang
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Corresponding author

Correspondence to Li Kun Xing .

Editor information

Editors and Affiliations

  1. School of Science, Anhui University of Science & Technology, Huainan, China

    Zhixiang Yin

  2. Huazhong University of Science and Technology, Wuhan, China

    Linqiang Pan

  3. Anhui University of Science & Technology, Huainan, China

    Xianwen Fang

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© 2013 Springer-Verlag Berlin Heidelberg

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Xing, L.K., Qi, S., Wang, W.J. (2013). A New Type of Wavelet Threshold Denoising Algorithm. In: Yin, Z., Pan, L., Fang, X. (eds) Proceedings of The Eighth International Conference on Bio-Inspired Computing: Theories and Applications (BIC-TA), 2013. Advances in Intelligent Systems and Computing, vol 212. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-37502-6_31

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  • DOI: https://doi.org/10.1007/978-3-642-37502-6_31

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-37501-9

  • Online ISBN: 978-3-642-37502-6

  • eBook Packages: EngineeringEngineering (R0)

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