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一个基于Matlab的人工免疫算法程序，对初学者很有用。(Immune Algorithm based on the immune network model for function f(x1,x2) optimum copy right SCUT Guangxing Tan )

基于灰度膨胀的matlab指纹分割程序，效果不错。来自cubs (a good fingerprint segmenting programme,form cubs)

说明：  FIR滤除工频干扰的程序，用MATLAB实现。(FIR filter frequency interference procedure, using MATLAB to achieve.)

说明：  对音乐波形的自动分析，用傅里叶级数或傅里叶变换的方法来做，最后用分析得到的吉他的特性来演奏东方红(Music waveform automatic analysis, using Fourier series or Fourier transform method to do, and finally the analysis of the characteristics of the guitar to play East Is Red)

Direct torque control based neural netwoek

：压缩感知是近年来应用数学界提出的一套关于稀疏信号采集和重构的新理论，它突破了传统奈奎斯特采样定理 的限制，以远少于传统奈奎斯特采样定理所需的测量数据就能够精确恢复原信号或估计信号的相关参数。将压缩感知理论应 用到DOA估计，可以解决传统DOA估计中高采样率、以及较多辐射源信号条件下难以定位的限制。研究了基于压缩感知理 论的DOA估计方法，并利用MATLAB进行仿真，通过与传统MUSIC算法比较可知，基于压缩感知的DOA估计方法具有显著 的优势(The theory of Compressive Sensing(CS)is the application of mathematics in the field of a sparse signal acquisition and reconstruction of the new theory. It breaks through the traditional limitation of Nyquist sampling theorem. It can recover certain signals or estimate their parameters far fewer samples or measurements than traditional methods. The application of compressed sensing theory to DOA estimation can solve the traditional DOA estimation in high sampling rate, as well as more of the radiation source signal conditions is difficult to position limits. This paper studies the theory of DOA estimation method based on compressed sensing theory, and simulation uses MATLAB, compared with the traditional MUSIC algorithms, DOA estimation based on compressed sensing theory method has the obvious advantage)

计算方法中得romberg算法，matlab编程(Calculation method was romberg algorithm, matlab programming)

模拟人的听觉系统，包括外耳-中耳滤波器，听觉滤波器和机电转换的部分。(Simulate the human auditory system, including the outer ear- middle ear filter, auditory filters and electrical conversion section.)

电子通信系统的建模与仿真 第7章 通信系统差错控制仿真 7.1 缩短卷积码 7.2 有缩短卷积码加交织的差错控制系统研究 7.3 自适应均衡系统（LMS算法） 7.4 迭代译码的级联卷积码 (Electronic communications system modeling and simulation of Chapter 7 error control communication systems simulation 7.1 shortened 7.2 convolutional code convolutional code increases have shortened intertwined system of error control 7.3 adaptive equalization system (LMS algorithm) Iterative Decoding of level 7.4 convolutional codes in conjunction)

人脸识别算法基本代码matlab源代码1(face recognition)