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这是一个用MATLAB工具设计自动控制理论中系统的仿真，系统校正的十分有用的代码工具(This is a MATLAB tool designed with the theory of automatic control system simulation, system calibration code very useful tool)

说明：  这是一个改进了的模糊聚类算法程序，请放心下载，已调试过(This is an improved fuzzy clustering algorithm program, please rest assured that download has been debugged)

盲信号处理中的经典算法FASTICA算法，实现信号的忙源分离(Blind signal processing algorithms in the classical algorithm FASTICA achieve busy signal source separation)

关于DSP方面的fft设计的matlab程序。(Aspects of DSP design matlab fft program.)

说明：  序列x（n）的Welch法功率谱估计 用matlab来实现(Sequence x (n) of the Welch method power spectrum estimation using matlab to achieve)

用于分类的相关向量机（RVM）算法，可以实现很好的分类。(RVM algorithm can be good for classification. )

包括瑞利信道，高斯信道，对应的调制方式有BPSK，QPSK，QAM(Including Rayleigh channel, Gaussian channel, the corresponding modulation has BPSK, QPSK, QAM)

说明：  matlab圆柱投影的代码，辛苦管理员了，初学者，求教啊(Matlab code of cylindrical projection, hard administrator, beginners, for advice )

MATLAB® is a high-level technical computing language and interactive environment for algorithm development, data visualization, data analysis, and numeric computation. Using the MATLAB product, you can solve technical computing problems faster than with traditional programming languages, such as C, C++, and Fortran. You can use MATLAB in a wide range of applications, including signal and image processing, communications, control design, test and measurement, financial modeling and analysis, and computational biology. Add-on toolboxes (collections of special-purpose MATLAB functions, available separately) extend the MATLAB environment to solve particular classes of problems in these application areas. MATLAB provides a number of features for documenting and sharing your work. You can integrate your MATLAB code with other languages and applications, and distribute your MATLAB algorithms and applications.

贝叶斯最小错误率分类器 用两列数据属性求二维正态分布 求后验概率分类(Bayesian minimum error rate sorter two columns of data attributes seeking seeking a two-dimensional normal posterior probability classification)