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时频分析工具包，可用于非平稳信号处理，for matlab(This is the Time-Frequency Toolbox, a collection of about 100 M-files , developed for the analysis of non-stationary signals using time-frequency distributions. It consists in groups of signal generation files, processing files and post-processing files (including visualization tools). The toolbox contains numerous algorithms for time-frequency signal analysis, with special emphasis on quadratic energy distributions within Cohen s class and the affine class, including most recent developments based on reassignment. The Time-Frequency Toolbox has been developed by Francois Auger, Olivier Lemoine, Paulo Gonlv and Patrick Flandrin during the years 1995-1996. Later, modifications for Matlab 5 were made available.)

说明：   粒子群聚类算法(Particle cluster-like algorithm)

用matlab实现多元回归分析，统计学中比较重要的应用，适用于初学者(Multiple regression analysis using matlab to achieve, the more important applications of statistics for beginners)

BivaShrink方法、模型1、模型2、模型3（TrivaShrink方法）、BayesShrink方法、 LAWMLShrink方法的DWT实现和DT_CWT实现。(BivaShrink method, model 1, model 2, model 3 (TrivaShrink method), BayesShrink methods, LAWMLShrink methods DT_CWT realization and the realization of DWT.)

一个除法计算器和字母统计器，作为例程，希望可以让初学者快乐学习matlab，体验其中的快乐，毕竟兴趣才是最好的老师；(A calculator and letters and Statistics division, and as a routine, I hope will allow beginners to learn Happiness matlab, experience one of the happy, interested, after all, is the best teacher )

说明：  复杂网络中的GN算法...............(Complex network of GN algorithm ...............)

Sampling theorem. Natural Sampling.

Pendulum on Circular Track in simulink

信道化软件无线电技术不仅能同时发射整个处理带宽内所有信道上的信号，而且具有很高的计算效率，实时处理能力强，结构简单，可实现性强。这种信道化发射机与信道化接收机一样也是基于多相滤波器来实现的。(Channelized software radio technology can not only transmit signals on all channels in the whole processing bandwidth at the same time, but also has high computational efficiency, strong real-time processing ability, simple structure and strong realizability. The channelized transmitter is also implemented based on polyphase filter as channelized receiver.)

AdaBoost, Adaptive Boosting, is a well-known meta machine learning algorithm that was proposed by Yoav Freund and Robert Schapire. In this project there two main files 1. ADABOOST_tr.m 2. ADABOOST_te.m to traing and test a user-coded learning (classification) algorithm with AdaBoost. A demo file (demo.m) is provided that demonstrates how these two files can be used with a classifier (basic threshold classifier) for two class classification problem.(AdaBoost, Adaptive Boosting, is a well-known meta machine learning algorithm that was proposed by Yoav Freund and Robert Schapire. In this project there two main files 1. ADABOOST_tr.m 2. ADABOOST_te.m to traing and test a user-coded learning (classification) algorithm with AdaBoost. A demo file (demo.m) is provided that demonstrates how these two files can be used with a classifier (basic threshold classifier) for two class classification problem.)