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信号的短时傅立叶变换，paper2_2_1为主程序，仿真不同窗长下短时傅立叶变换的时频聚集度。stftxz为修正的短时傅立叶变换。(Short-time Fourier transform signals, paper2_2_1 main program, the simulation under different window length short time Fourier transform of the frequency of aggregation. stftxz to correct short-time Fourier transform.)

《小波分析理论与Matlab7实现》书籍源码( Wavelet Analysis Theory and realize Matlab7 books-source)

Software name: Max(马克斯) Content Management System( Version:4.0 Web: http://www.maxcms.net Author: 石头(maxcms2008@qq.com),yuet,长明,酒瓶 Copyright (C) 2005-2009 马克斯官方 版权所有)

该代码实现了 ook等不同通信通信方式的误码率的仿真比较。(The code implementation of different communication ook communication BER simulation comparison.)

说明：  计算图像的重心坐标很好的程序，利用重心法，相信不会让你失望的！(Very good image of the center of gravity coordinates calculation process, the center of gravity method, that will not let you down!)

说明：  这是一个实现全概率接收的程序，基于多相滤波器组成的信道化接收机。(This is a realization of the probability of receiving the whole process, based on the polyphase filter composed of channelized receiver.)

模拟数据分析处理的过程，应用simulink(simulink UU)

simulation 3d puma 6 dof

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)

langrange function estimation