saadat1

very important tool box for matlab

Model of electric drive with DC machine controlled in closed loop

SVM主程序,专门用来调用SVM程序的,主要是先建模再验证，得出较好的分类器。(SVMmain program，for using SVM to classify)

采用matlab对平面四杆机构进行运动分析,并输出图像.(Using MATLAB to analyse the motion of planar four bar mechanism, and the output image)

宽带DOA估计 使用经典的MUSIC算法仿真通过 (wideband direction of arravial use the MUSIC method)

剔除粗大误差，使用格拉布斯准则，自动剔除误差(Eliminate the careless error using Grubbs criteria automatically remove errors)

信号与信息处理——阵列信号处理DOA估计的matlab算法，这是线性调频信号的稀疏分解算法，很有用(Signal and information processing- array signal processing matlab algorithm for DOA estimation, which is a linear FM signal sparse decomposition algorithm, useful)

实现小波3级分解 构建3维跨频带矢量 然后LBG聚类 再重构原图像(Construction of wavelet decomposition to achieve three inter-band 3-D vector and then reconstruct the original image LBG clustering)

本自适应算法考查了LMS，RLS与LSL三种自适应算法的对比。(The adaptive algorithm examines the LMS, RLS and LSL comparison of three kinds of adaptive algorithms.)

稀疏性最小二乘支持向量机，针对最小二乘支持向量机缺少稀疏性的问题，以特征提取为基础提出具有稀疏性解的最小瓶二乘支持向量机(Sparsity LSSVM for LSSVM lack sparsity issues to feature extraction is proposed based on the solution of sparse least squares support vector machine bottle)