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Research of the Optimal Wavelet Selection on Entropy Function

机译:熵函数的最优小波选择研究

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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.
机译:选择合适的小波是小波包去噪的关键问题。在本文中,它以熵函数为最佳分组基函数的评估标准。通过语音信号的小波包分解系数来计算熵以确定适当的分解。同时,在小波包阈值算法的计算机仿真实验中,将使用四种包基进行降噪。仿真结果表明,应通过两个熵函数选择的最优小波基不仅可以在很大程度上消除背景噪声,而且可以提高语音信号的信噪比。

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