THIKAT

对给定的txt文件进行Huffman编码和解码，并加以分析，采用无记忆信源编码方式(For a given txt files Huffman encoding and decoding, and analyzed, using non-memory source coding method)

用于计算电力系统的节点阻抗或者导纳，还算比较好用。(It can be used to calculate nodal impedance or admittance of power system.)

非线性SVM分类器，可以很好的将两类划分开(Non-linear SVM classifier, can be very good by the two open)

Ant Colony Optimization (ACO) is a paradigm for designing metaheuristic algorithms for combinatorial optimization problems. The first algorithm which can be classified within this framework was presented in 1991 [21, 13] and, since then, many diverse variants of the basic principle have been reported in the literature. The essential trait of ACO algorithms is the combination of a priori information about the structure of a promising solution with a posteriori information about the structure of previously obtained good solutions.

sliding mode controle

一个matlab工具箱，里面有很多关于信号处理的例子。(A matlab toolbox, there are many examples on the signal processing.)

用guide实现图片浏览器的制作，具有现成图片浏览器的全部功能，实用方便(With a guide to achieve the production of photo browser, photo viewer with a shelf full functionality, practical and convenient)

说明：  实验目的：对带通信号及其低通等效信号进行分析和仿真。 实验内容： 1、参考教材P24面例子，考虑如下带通信号，编写仿真程序实现，得出仿真结果。 （1） 画出该信号和它的幅度谱； （2） 求出该信号的解析信号，并画出它的幅度谱； （3） 求出并画出该信号的包络； （4） 分别假设 和 ，求该信号的低通等效，并画出它的幅度谱。 2、设带通信号为： 通过Matlab编程仿真实现： （1） 画出该信号和他的谱函数（包括幅度和相位） （2） 确定并画出解析信号的谱函数（包括幅度和相位） （3） 画出该信号的包络。 （步骤一，二中，设采样间隔为ts=0.002s）。 (Purpose: To Bandpass and lowpass equivalent signal analysis and simulation. Experiment: 1, reference materials P24 plane example, consider the following bandpass signals, writing simulation program implementation, simulation results obtained. (1) Draw the signal and its amplitude spectrum (2) Find the analytical signal of the signal, and plot its amplitude spectrum (3) Find and draw the envelope of the signal and (4) respectively assumptions and seeking the equivalent lowpass signal and draw its amplitude spectrum. 2, is provided with a communication number: Simulation by Matlab programming: (1) Draw the signal and his spectral function (including amplitude and phase) (2) to identify and draw the analytic signal spectral function (including amplitude and phase) (3) Draw the envelope of the signal. (Step one, two, and set the sampling interval ts = 0.002s).)

another progaram that has been in matlab

利用M-SVM 对Iris数据及进行分类(The use of M-SVM and the classification of Iris data)