MLP

pca做特征降维，然后进行特征空间随机分割构造多个svm分类器，并行处理，对样本进行分类，基于特征空间的svm多分类器(using pca reduce feature dimension,split feature space and then randomly divided over svm classifier construction, parallel processing, the samples were classified, based on multi-feature space classification svm )

rbf神经网络程序，能够进行函数拟合等功能(rbf neural network )

its a ml decoder for alamouti code detection

画出电基本阵子的仿真图 用matlab实现(Recently drawn the basic electrical diagram of the simulation using matlab realize)

使用matlab写得空间温度场程序，算法是高斯-塞德尔迭代法。(Room temperature using the matlab program is written, the algorithm is the Gauss- Seidel iterative method.)

DSP matlab 增采样仿真 定点数量化等(DSP matlab simulation of futher sampling)

说明：  “模拟退火”算法是源于对热力学中退火过程的模拟，在某一给定初温下，通过缓慢下降温度参数，使算法能够在多项式时间内给出一个近似最优解。利用模拟退火算法,基于最优下料编码方式,对矩形件进行下料处理。("Simulated annealing" algorithm is derived from the simulation of the annealing process in thermodynamics. At a given initial temperature, the algorithm can give an approximate optimal solution in polynomial time by slowly decreasing the temperature parameter. Based on optimal blanking coding method, simulated annealing algorithm is used to blanking rectangular parts.)

matlab判别分析，基本思想是将高维的模式样本投影到最佳鉴别矢量空间，以达到抽取分类信息和压缩特征空间维数的效果，投影后保证模式样本在新的子空间有最大的类间距离和最小的类内距离，即模式在该空间中有最佳的可分离性。(matlab discriminant analysis, the basic idea is to sample the high-dimensional pattern projected onto the optimal discriminant vector space, in order to achieve the classification of information extraction and compression feature space dimension effect, the projected sample assurance model in the new subspace has the largest class room the intra-class distance and the minimum distance, i.e., have the best separability pattern in the space.)

模糊控制,主要是模糊控制和PID相结合的matlab程序(fuzzy control)

LMS算法收敛因子不同的MATLAB的程序(matlab in LMS convergence factor)