BER-for-BPSK-in-Rayleigh-channel.pdf

对获得的512维小波特征进行了PCA降维处理，将特征空间降至100维，并采用前面得出的最佳系数针对多项式核函数和高斯径向基核函数(On access to the 512-dimensional wavelet features to reduce the dimension of the PCA, will feature space to 100 dimensions, and using the best coefficients obtained for the previous polynomial kernel function and Gaussian radial basis function)

Slicot is used with hanso and hifoo

生成AR(p)过程模拟的参数。满足过程的弱稳定。模拟多条样本路径，利用AIC/BIC/IC进行定阶。比较三种标准的准确性。(Generate an AR (p) process simulation parameters. Meet process weakly stable. Simulation sample path, AIC/BIC/IC order determination. Three standard accuracy.)

matlab时频分析工具箱，时频分析需要(Matlab time-frequency analysis toolbox, time-frequency analysis needs)

包含了若干小波变换用于图像处理的MATLAB源码,很有用.(Contains a number of wavelet transform for image processing MATLAB source code, very useful.)

说明：  jade是一种用于复信号的盲源分离的方法，这是jade的matlab程序源代码。(Source separation of complex signals with jade.It is used in the Matlab)

经验模态分解的程序，由其他学者提供，使用方便高效。(emd programme)

用于快速处理压缩感知的程序。输入原向量及其长度即可得出压缩前向量。（需要使用pdco.m文件。）(For fast processing of compressed sensing program. Enter the original vector and its length can be derived before compression vector. (Need to use pdco.m file.))

SURF_matlab程序及样本,有需要的可以看一下(SURF_matlab procedures and sample, there is a need to look at)

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)