PCA（主成分分析方法），可用于降维、方案评估-PCA realization

经典语音降噪算法——维纳滤波算法。实现提高语音信号信噪比，提高可读性。-Classic voice noise reduction algorithm- Wiener filtering algorithm. Improve the signal-to-noise ratio of the speech signal, improve readability.

里面包含多种信号特征提取算法，有短时变换算法，包络特征提取算法，模糊函数算法，包络前沿算法，还有PCA降维等(It contains a variety of signal feature extraction algorithms, including short-time transform algorithm, envelope feature extraction algorithm, fuzzy function algorithm, envelope front algorithm,

维纳滤波算法，可以实现对语音信号的降噪，效果还可以(Wiener filtering algorithm, it can achieve noise reduction on speech signals)