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用matlab编写的大津法(outs自适应分割算法)(prepared using the Matlab- (outs adaptive segmentation algorithm))

混响的算法，效果良好，可根据自己需求调节(Reverb algorithms, to good effect, according to their own needs adjustment)

自己写的matlab上GUI界面，可以读取行情软件导出的txt格式历史数据，并汇出k线和技术指标，可以通过GUI编辑设置、各种指标及其参数。主图附图指标编辑通过编写脚步实现，有例子。 解压后，将work下的dir.mat中的wkdir变量修改成与你放置的目录一致，也可以就将work放置在"d:/matlab/"下. read2mat.m从文本中读取数据，并存在与文本文件同名的.mat格式的文件中。 运行kfigure,加载.mat格式文件就可以画出k线图和指标图。其他功能很多和股票软件差不多，大家自己试就行了。(Matlab GUI interface to write their own, you can read the historical data of market software exported txt format, and Export k lines and technical indicators, you can edit the settings through the GUI, various indicators and their parameters. The the main figure drawings indicators edit achieve by writing the footsteps examples. After decompression, modify the work under dir.mat wkdir variable and you are placed in the same directory, will work placed in the " d :/ matlab /" . Read2mat.m to read data from a text, and exist with a text file of the same name. mat format file. The run kfigure, loading mat format file can draw k chart and indicators Figure. Other features and stock software almost everyone own try line.)

进行直方图均衡，使得到的图像的直方图可以进行均匀的分布(histogram equalization)

白噪声中单个正弦信号的频率检测与估计 产生，其中是一高斯白噪声，其均值为0，方差为1。用MUSIC方法估计观测数据中正弦波的频率，并给出白噪声方差()un2uσ 与复正弦波的振幅A的估计值。(A single frequency detection and estimation of the sinusoidal signal in white noise, which is a Gaussian white noise with mean 0 and variance 1. MUSIC method to estimate the frequency of sine wave in the observation data, and gives the white noise variance () estimated value of the the un2uσ complex sine wave amplitude A.)

说明：  基于TOA定位算法的克劳美罗CRLB仿真程序(CRLB simulation program of TOA location algorithm)

fastICA信号处理，详细介绍了用fastICA进行信号处理的过程，以及后面的仿真实验(fastICA signal processing, described in detail with fastICA the process of signal processing, and the subsequent simulation)

洛伦兹吸引子的函数程序以及动态图形，matlab程序(Lorenz attractor function procedures and dynamic graphics, matlab program)

NSIMCAv1工具箱能够对每一类进行分类(The presentNSIMCAv1 toolbox contains Matlab implementations forclassification。)

说明：  滑模控制算法, matlab仿真，采用m脚本的形式。(The sliding mode control algorithm is simulated by MATLAB in the form of M script.)