MATLABManual

区别于matlab自带的fft程序，为自主设计的myfft程序代码(Different from matlab' s fft own procedures for self-designed program code myfft)

可以实现matlab环境下的APIT仿真实验，效果还不错。(Can be achieved under the APIT matlab simulation, the results were good.)

A simulink model ued for Fourier transformation analysis. It allows the user to select the harmonics number.

ESPRIT GTD方法针对一维像的散射点提取(ESPRIT GTD Method for one-dimensional scattering point like extraction)

钢琴演奏评价系统研究 关键词：音乐识别特征提取 STFT 调式自动判别匹 配比较(Piano Performance Evaluation System Keywords: music recognition feature extraction STFT mode automatically identify matching comparison)

基于MATLAB实现系统辨识，采用了五种不同的方法，源码通过调试运行无误。(Based on MATLAB implementation of system identification, using five different methods, source code debugging and running through correct.)

用龙哥库塔方法求解积分，5阶龙格库塔方法(Method for solving integral with Long Ge Kuta, fifth-order Runge-Kutta method)

模糊pid控制，并已经通过调试，程序可行。非常有用(Fuzzy pid control, and has been through the debugging, the program is feasible. Very useful)

A PIV Post-processing and data analysis toolbox(The PIVMat Toolbox for Matlab contains a set of command-line functions to import, post-process and analyse 2- and 3-components vector fields from PIV (particle image velocimetry), stereo-PIV, DIC (digital image correlation) SS (synthetic schlieren) or BOS (background-oriented schlieren) applications. Main Features: - Import vector fields from PIV (Particle Image Velocimetry) or other related technics, such as DIC (Digital Image Correlation), SS and BOS (Synthetic Schlieren and Background-oriented Schlieren). - Compatibale with files from DaVis (LaVision), DPIVSoft (Meunier & Leweke), VidPIV (Oxford Laser), MatPIV and Optical Flow. - Standard vector field operations: interpolation, filtering (median, Butterworth...), averaging (temporal, spatial, azimuthal...), derivatives computation (vorticity, divergence, strain, Q-factor...) - Fully vectorized: all operations directly apply on arrays of fields (no for loops) - More than 60 functions with full on-line documentation sampl)

SVM light 工具箱 包含window版本和matlab版本 由美国cornell大学的教授Thorsten Joachims部署 执行SVM二分类 速度明显快于libsvm 下载文件中包含 1.例子(inductive SVM 和 transductive SVM) 2.说明文件 3.源程序(SVM light kit (including window version and matlab version) Cornell university professors from the United States to deploy Thorsten Joachims Executive SVM binary classification Significantly faster than libsvm Download file contains 1 example (inductive SVM and transductive SVM) (2) Documentation 3 source)