MATLABProgramming

Gait extraction toolbox which is used in matlab abd very useful for human activity recognition

IIR design using matlab using all four types of iir filter

包括相位编码（含二相BPSK和四相QPSK）、线性调频LFM、非线性调频NLFM、脉冲幅度调制(PAM)信号、带噪FSK频率编码信号等的信号源码，是很好的产生各种雷达信号的程序资源。(Including the phase encoding (including two-phase four-phase BPSK and QPSK), LFM LFM, non-linear FM NLFM, pulse amplitude modulation (PAM) signal with noise signals encoded FSK frequency signal source, is to produce a good variety of radar Program resources signals.)

实例1：三角函数曲线（1） 实例2：三角函数曲线（2） 实例3：图形的叠加 实例4：双y轴图形的绘制 实例5：单个轴窗口显示多个图形 实例6：图形标注 实例7：条形图形 实例8：区域图形 实例9：饼图的绘制 实例10：阶梯图 实例11：枝干图 实例12：罗盘图 实例13：轮廓图 实例14：交互式图形 实例15：变换的傅立叶函数曲线 实例16：劳伦兹非线形方程的无序活动 实例17：填充图 例18：条形图和阶梯形图 实例19：三维曲线图 实例20：图形的隐藏属性 实例21PEAKS函数曲线 实例22：片状图 实例23：视角的调整 实例24：向量场的绘制 实例25：灯光定位 实例26：柱状图 实例27：设置照明方式 实例28：羽状图 实例29：立体透视（1） 实例30：立体透视（2） ()

说明：  PCA人脸识别 This package implements basic Principal Component Analysis in Matlab and tests is with grayscale portion of the FERET database. Images are not preprocessed and it is up to the user to preprocess the images as wanted, not changing the filenames(PCA Face Recognition This package implements basic Principal Component Analysis in Matlab andtests is with grayscale portion of the FERET database. Images are notpreprocessed and it is up to the user to preprocess the images as wanted, not changing the filenames)

基于核的典型相关分析，适合做脑电分析用的程序。(Canonical correlation analysis based on nuclear, suitable for EEG analysis procedures.)

对智能小车的路径进行合理的规划，使得其俺预想的方式前进(Smart little path to be reasonable planning and made their way forward anticipated)

基于小波变换的数字水印检测代码，可以将水印分离出来(Based on Wavelet Transform Digital Watermarking detection code, a watermark can be separated)

应用matlab实现对统计分析中的主成分分析方法，高效实现对输入变量的降低维数，同时(Application matlab realize the principal component analysis statistical analysis, efficient implementation of reduced dimensionality of the input variables, while)

iris segmentation matlab code