首先利用经验模态分解方法（Empirical Mode Decomposition，EMD）， 选择合适的固有模态函数对含噪语音进行初步降噪，然后根据信噪比分别确定过减因子进行谱减运算。
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利用算法实现了改进后的经验模态分解方法。
Carrying out the improved empirical mode decomposition method utilizing the algorithm.
针对传统滤波方法处理非平稳信号的不足，提出利用经验模态分解法来处理转子启动信号，通过此方法的自适应滤波特性来提取这类信号中的低频分量。
This paper describes a method to extract the low frequency component from rotor startup signal based on empirical mode decomposition, which overcomes the difficulties of traditional filter methods.
针对现有车型识别存在的问题，提出利用经验模态分解和支持向量机的车型声频识别方法。
For the problem of automatic vehicle recognition, a recognition method is proposed based on EMD and support vector machine.
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