Abstract
The selection of the appropriate wavelet is the key issue in the wavelet packet de-noising. In this paper, it takes the entropy function as the evaluation criteria for the best packet basis function. The entropy is calculated by the coefficients of wavelet packet decomposition of speech signal to determine the appropriate decomposition. At the same time, four kinds of packet basis will be used to denoise in computer simulation experiments with wavelet packet threshold algorithm. The simulation results show that the optimal wavelet bases, which should be selected by two entropy function, not only can eliminate background noise to a large extent, but also raise the SNR of voice signal.
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References
Zhang, X., Chen, L., Yang, J.: Modern Speech Processing Technology and Applications. Machine Industry Press, Beijing (2003)
Guo, J., Wang, F.: The study of signal denoising based on wavelet packet Transform. Modern Electronic Technology 19(238), 55–2 (2007)
Ge, Z., Sha, W.: Wavelet Analysis Theory and MATLAB R2007 Implementation. Electronic Industry Press, Beijing (2007)
Cohen, I., Raz, S., Malah, D.: Orthonormal shift-invariant wavelet packet decomposition and representation. Signal Processing 57(3), 251–270 (1997)
Fei Sike Technology R&D Center. Wavelet Analysis Theory and MATLAB7 Implementation. Electronic Industry Press, Beijing (March 2005)
Deng, Y.: The study of speech denoising based on wavelet packet threshold algorithm. Speech Technology 09(33), 65–5 (2009)
Zhang, L., Qin, H., Yu, C.: The study based on wavelet threshold algorithm for denoising. Computer Engineering and Applications 44(9), 172–174 (2008)
Donoho, D.L.: Denoising by soft thresholding. IEEE Trans. on Information Theory 41(3), 613–627 (1995)
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© 2012 Springer-Verlag Berlin Heidelberg
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Ma, Hf., Dang, Jw., Liu, X. (2012). Research of the Optimal Wavelet Selection on Entropy Function. In: Deng, W. (eds) Future Control and Automation. Lecture Notes in Electrical Engineering, vol 173. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-31003-4_5
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DOI: https://doi.org/10.1007/978-3-642-31003-4_5
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-31002-7
Online ISBN: 978-3-642-31003-4
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