3.1语音信号的同态处理和倒谱分析30

3.1.1同态处理的基本原理30

3.1.2复倒谱和倒谱31

3.2离散余弦变换34

3.3Mel频率倒谱系数的分析37

3.3.1Mel滤波器组37

3.3.2MFCC特征参数提取38

3.4小波和小波包变换43

3.4.1小波变换43

3.4.2小波包变换44

3.4.3小波包算法45

3.4.4MATLAB中一维小波和小波包变换函数46

3.4.5MATLAB语音信号小波和小波包变换的例子49

3.5EMD的基本理论和算法53

3.5.1EMD的基本概念53

3.5.2EMD 的基本原理55

3.5.3EMD法的完备性和正交性57

3.5.4基于EMD的Hilbert变换的基本原理和算法59

3.5.5EMD法的MATLAB函数60-3.1 homomorphic speech signal processing fundamentals and cepstrum analysis 30 3.1.1 30 3.1.2 homomorphic processing complex cepstrum and cepstrum 31 3.2 Discrete Cosine Transform 34 3.3Mel frequency analysis of 37 3.3.1Mel cepstral filtering control group of 37 3.3.2MFCC feature extraction 38 3.4 wavelet and wavelet packet transform wavelet transform 43 43 3.4.1 3.4.2 3.4.3 44 wavelet packet transform wavelet packet algorithm 45 3.4.4MATLAB one-dimensional wavelet and wavelet packet transform function 46 3.4.5MATLAB voice signal example of wavelet and wavelet packet transform 49 3.5EMD basic theory and algorithms 53 3.5.1EMD basic concepts of the basic principles of law 53 3.5.2EMD of 55 3.5.3EMD completeness and orthogonality 57 3.5.4 Based on the basic principle of MATLAB functions and algorithms EMD Hilbert transform 60 of 59 3.5.5EMD law