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Research of the Optimal Wavelet Selection on Entropy Function

机译:熵函数最佳小波选择的研究

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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:选择适当的小波是小波包去噪中的关键问题。在本文中,它将熵函数作为最佳分组基函数的评估标准。熵由语音信号的小波分组分解的系数计算,以确定适当的分解。同时,四种数据包基础将用于使用小波分组阈值算法在计算机仿真实验中弃用。仿真结果表明,最佳小波底座,应该选择两个熵函数,不仅可以在很大程度上消除背景噪声,而且还可以升高语音信号的SNR。

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