A modified MMSE algorithm for speech enhancement based on speech periodic property is presented.

基于语音周期性的特点，提出了一种预加重的MMSE语音增强的改进算法。

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By eliminating the possible influence produced by low quality data, the presented algorithm can improve localization precision effectively in comparison with the MMSE algorithm.

通过和最小均方误差估计算法(MMSE)相比较，变门限聚类定位算法可有效消除低质量数据对定位结果的影响，从而提高了目标的定位精度。

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About denoising algorithm this paper researches focused on Spectral Subtraction algorithm and improved form, STSA-MMSE algorithm, using MATLAB tool to simulate these algorithms.

在去噪算法上本文重点研究了谱减法及其改进形式、STSA - MMSE去噪算法，用MATLAB工具仿真了这些算法。

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