fulbridge_rectifiers

matalab PCM编码 使用matalb实现PCM的编码解码(matalb)

交互多模型算法的仿真程序，仿真过程中发生一次机动！(the simulation of the IMM algorithm, in this simulation there is one maneuvering。)

利用LMS算法来进行盲信号分离处理的程序(Using the LMS algorithm for blind signal separation processing procedures)

啁啾光纤光栅matlab仿真程序，通过程序可以得到啁啾光栅的反射透射谱(Chirped fiber grating matlab simulation program, the program can get the reflection and transmission spectra of the chirped grating)

单因变量偏最小二乘回归matlab程序 程序尚不完善，固定提取了3个主成分，没有做寻求最佳主成分个数；没有做交叉有效性检验 (Single dependent variable and partial least squares regression matlab The program is not perfect, the fixed extract 3 principal components, do not seek the best number of principal components do not cross validation test)

实现knn算法，压缩包里有程序以及数据，直接打开matlab便可以运行(Implementation of KNN algorithm)

基于核的主分量分析方法的提出者亲自写的程序（基于MATLAB(a MATLAB m-file of Kernel PCA)

小波极大值消噪程序，可实现数据的消燥功能(Maxima of wavelet de-noising procedure, the extinction data can be dry functions)

说明：  matlab 关于牛顿法，最速化，拟牛顿法，黄金分割法，一维搜索法的编程(Matlab of Newton, the most speed, quasi-Newton method, 0.618, one-dimensional search Programming)

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)