Smith

基于matlab的LFM信号产生与脉冲压缩处理(The LFM signal generator based on matlab and pulse compression)

surf算法，实现特征点检测和匹配.文件内有两个图像匹配实例(surf algorithm, feature point detection and matching)

进行波形数据分析,数学方法是部分子空间法，可以得到很精确的幅值、频率、相位估计。( Waveform data analysis, Mathematics is part of the subspace, You can get a very accurate amplitude, frequency, phase estimation.)

利用MATLAB编写的实现纹理图像的分割，但其只是针对部分图像可以达到很好的效果，不具有普遍适应性。(Prepared using MATLAB implementation of texture image segmentation, but only for the portion of the image can be achieved very good results, do not have universal adaptability.)

说明：  用遗传算法求解TSP问题+matlab动态演示其求解过程。(TSP problem using genetic algorithm+ matlab dynamic presentation of their solution process.)

Auction jacobi solver for MAtlab. Based on a paper

一级倒立摆的系统仿真动画，初始加速度为0，实现最基本的小车不动，摆杆动的仿真程序(An inverted pendulum system simulation animation, initial acceleration is 0, the most basic car does not move, moving pendulum simulation program)

心电信号RR间期检测等 (ECG RR interval detection)

support vector classification machine ％ soft margin ％ uses "kernel.m" ％ ％ xtrain: (Ltrain,N) with Ltrain: number of points N: dimension ％ ytrain: (Ltrain,1) containing class labels (-1 or +1) ％ xrun: (Lrun,N) with Lrun: number of points N: dimension ％ atrain: alpha coefficients (from svcm_train on xtrain and ytrain) ％ btrain: offest coefficient (from svcm_train on xtrain and ytrain) ％ ％ ypred: predicted y (Lrun,1) containing class labels (-1 or +1) ％ margin: (signed) separation from the separating hyperplane (Lrun,1(support vector machine classification% s oft margin% uses "kernel.m"%% xtrain : (Ltrain, N) with Ltrain : number of points N : % ytrain dimension : (Ltrain. 1) containing class labels (-1 or 1)% xrun : (Lrun, N) with Lrun : number of points N : % atrain dimension : alpha coefficients (from svcm_train on xtrain and ytrain)% btrain : offest coefficient (from svcm_train on xtrain and ytrain)%% ypred : predicted y (Lrun. 1) containing class labels (-1 or 1)% margin : (signed) separation from the separating hyper plane (Lrun, 1)

matlab环境下开发的模糊控制原程序。(matlab environment developed under the original procedure of fuzzy control.)