matlab-filesyu

向自己上课老师(研究混沌方面)要的一个H无穷控制的工具箱，里面内容很丰富，个人用了之后感觉很不错，希望对大家有所帮助。(To their class teacher (Research Chaos area) to an H infinite control toolbox, which is very rich in contents, personal feeling after a good, hoping to help all of you.)

基于MATLAB的 小波分析应用书中例程源代码(MATLAB-based wavelet analysis routines source code of the application book)

比较全面的介绍matlab处理图像图形的命令，以及相关的说明和实例(More comprehensive introduction matlab image processing graphics commands, and related instructions and examples...)

说明：  zero sequence caliculation

采用SVM高斯核，对样本进行分类，输入训练集和测试集，输出SVM分类准确率，采用10折交叉验证(This matlab code uses the SVM(support Vector Machine)to classify, and as the same time it uses the cross validation mathod.)

用线性外推实现语音修复,得到更好特性的语音效果(realize the bandlimited signal to wideband by linear extrapolation)

图像的二维福利叶变换，利用matlab变成实现了二维福利叶变换，代码优化(Fourier transform of the image of two Weifu Li matlab realized with two Weifu Li Fourier Transform code optimization)

快速浏览时间序列数据。而且可以直接创建时间序列的图示，非常方便快捷。(MAT2FIGURE allows you to review timeseries data contained in a matfile very fast and efficiently. Furthermore, the created figure file can be used to distribute these data. After opening a matfile, mat2figure scans (struct) arrays for vector signals, tries to determine the time signal (if not specified at commandline) and creates a figure with built-in signal browser. Among the features are: - At signal selector, each signal is marked, whether it s an ordinary signal, just has constant values or is monotonically in-/decreasing - Signals can be plotted into existing or new subplots, time axes are linked and subplots can be rearranged in up to 6 columns - snapshots of current plots can be created for switching between different views very fast - figure can be printed to clipboard, eps- or png-file with hidden menubar - timeseries data are stored within the figure-file and can be exported to matfile or to workspace - convenient handling via keyboard shortcuts - signal viewer)

瑞利分布杂波幅度和高斯谱仿真，需要的可以学习看下(Rayleigh distribution clutter simulation, the need to learn a look)

随机微分方程数值解！ Numercal Sulution Of Stochastic Differential Equations By Peter E.Kloeden Eckhard Platen PC-Exercise 11.4.1 Figure 11.4.1 求解方程 11.4.1(Numercal Sulution Of Stochastic Differential Equations By Peter E.Kloeden Eckhard Platen PC-Exercise 11.4.1 Figure 11.4.1 )