acf-code

SVM方法的基本思想是：定义最优线性超平面，并把寻找最优线性超平面的算法归结为求解一个凸规划问题。进而基于Mercer核展开定理，通过非线性映射φ，把样本空间映射到一个高维乃至于无穷维的特征空间（Hilbert空间），使在特征空间中可以应用线性学习机的方法解决样本空间中的高度非线性分类和回归等问题。svm 程序，即支持向量机的代码。(The basic idea of SVM method are: the definition of the optimal linear hyperplane, and the search algorithm for optimal linear hyperplane by solving a convex programming problem. Then based on Mercer nuclear expansion theorem, through a nonlinear mapping φ, the sample space is mapped to a high-dimensional and even infinite dimensional feature space (Hilbert space), so that in the feature space can be applied to solve the linear learning machine method, the sample space The highly nonlinear classification and regression problems. svm procedures that support vector machine code.)

Ebook for optical communication.

This source code shows the implementation of two codes C1(gray) and C2(other). The error rates(theorical and practical) are shown in figures for both codes (depending on the noise density) The two code are MDA-4.(codage in 2 bits)

说明：  此为MATLAB写的关于2DPSK调制解调的程序并且通过验证可以实现，程序对2DPSK的算法都有相应的程序(This is written in MATLAB on 2DPSK modem to verify the procedure can be achieved through the procedures of the algorithm 2DPSK procedures have corresponding)

对于搞图像分析和机器视觉的同志是一本很不错的书籍(usefull to these peple who major inmachine vision and imaging process)

蚁群算法的示例程序，可设定蚂蚁数和组数，可以显示分类结果。(Ant colony algorithm sample program, you can set the number of ants and the group number, you can display the classification results.)

分别使用感知机，最小二乘，SVM进行样本分类的基础算法。(Perceptron，least squares,SVM based method were used for sample classification.)

matlab下对眼图进行模拟.可以进一步帮助理解眼图的原理。(Matlab under simulated eye chart. Can help further understanding of the principle eye diagram.)

MATLAB仿真实现最小均方差（MMSE）均衡算法 消除多径引起的ISI 帮助理解算法原理(MMSE_EQUALIZATION with matlab)

基于二阶和高阶统计量的MIMO系统盲信道估计，可完美进行信道估计，进行误码率及误差分析等。(Based on second-order and higher-order statistics of the MIMO system, blind channel estimation can be the perfect channel estimation carried out for the bit error rate and error analysis.)