susan

生成有限带宽白噪声，白噪声参数从input.txt文件修改(whitenoise signal )

拉普拉斯滤波，用拉普拉斯算子进行的频域滤波(Laplace filter)

基于自回归,全极点的AR模型,对随机信号的进行的功率谱估计。(Based on the autoregressive all-pole AR model estimated the conducted power spectrum of the random signal.)

说明：  程序-神经网络的回归拟合——基于近红外光谱的汽油辛烷值预测(Program-Neural Network Regression Fitting-Prediction of Gasoline Octane Number Based on Near Infrared Spectroscopy)

adaptive fuzzy control

一些关于信号处理谱分析的MATLAB代码，对学习频谱分析比较有用(some code for study spectrum_analysis in signal processing are very useful.)

相关的 BSS 盲源分离问题和 CS压缩感知的结合4篇论文打包，以及一个声音信号混合分离的简单实现(the realization of BSS(blind source separation) and CS(compressed sensing), and a sample of volume signal s matlab illustration)

老外写的压缩传感算法（CS），还是不错的，供大家学习(Foreigner writing compressed sensing algorithm (CS), is good for everyone to learn)

在这项工作中所使用的方法是基于一个由大卫阿诺德教程。 http://online.redwoods.cc.ca.us/instruct/darnold/diffeq/logistic/logistic.pdf 这将运行该Logistic.m带来了图形用户界面。 1。放弃在列的格式文本文件中的x值 2。放弃在山口格式文本文件中的y值 3。的阴谋初始 按钮将绘制的分布 4。 查找适合 按钮，会找到最适合 5。 重置 将删除的情节（虽然我想打扫所有的领域 -没有时间） 5。地下K，糖尿病在下列公式中的值 Ÿ 等于k/（1+进出口（- G *的（十型录））） 6。上证所给出了squred误差之间的拟合函数与实际数据的总和 7。消委会提供的相关合作关系的实际数据拟合功能和效率(The method used in this work is based on a tutorial by David Arnold. http://online.redwoods.cc.ca.us/instruct/darnold/diffeq/logistic/logistic.pdf RUN The Logistic.m this will bring up the GUI. 1. Give the x values on a text file in column format 2. Give the y values on a text file in col format 3. Plot Initial Button will plot the distribution 4. Find Fit button will find the best fit 5. Reset will remove the plot (Although I wanted to clean all the fields- did not have time) 5. K, G, Dm are the values in the following equation y = K./(1+exp(-G*(x-Dm))) 6. SSE gives the sum of squred error between the fitted function and the actual data 7. CC give the correlation co-efficient between the fitted function and actual data)

说明：  matlab源程序的清华课件学习案例，方便大家学习，欢迎下载！！(Tsinghua matlab source courseware learning case, to facilitate learning, welcome to download! !)