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These file contains an implementation of eigenfaces for MAtlab

说明：  《遥感数字图象分析与编程》一书的课程ppt，附有详细IDL开发及MALTAB开发方法和例子。(&quot Remote sensing digital image analysis and programming,&quot a book of course ppt, with detailed IDL development and MALTAB development methods and examples.)

基于小波变换的信号奇异性检测和去噪Matlab编程，主要用于电能质量检测上。(Based on wavelet transform signal singularity detection and denoising Matlab programming, mainly for power quality detection.)

适用于802.16d的无线信道模型的说明文档，是standford的sui信道模型(Applicable to the wireless channel model 802.16d documentation is standford of sui channel model)

在层状光子晶体中，由于折射率不同，能量分布不同，此程序用于模拟此效果(Layered photonic crystals, due to the different refractive index, energy distribution, this procedure is used to simulate the effect of)

basic matlab information to study simulink

DCDC chopper circuit

%(第一步加载原始数据并绘图)m文件保存代码;而mat文件保存工作区里面已经加载或计算好的数据 %当前文件夹显示的路径一定要是保存数据和保存代码的文件夹 %“relt”是包含分解结果的矩阵，第一列是原始输入（“gsta（：，2）”），最后一列是趋势。 中间是IMF频率从高到低。 %应该注意的是，由于在eemd.m中，IMF的总数m被指定为log2（N）-1，在某些情况解的线条进行了合并 %因此会比实际分解得到的减少，但在计算周期和表现显著性的时候要将每个模态的周期和显著性计算在内。((The first step is to load the original data and draw) m file saves the code; the mat file saves the data already loaded or calculated in the workspace %% the current folder displays a path that must store data and save the code folder. %"relt" is the matrix that contains the decomposition result, the first column is the original input ("gsta (:, 2)"), and the last column is the trend. The middle is the IMF frequency from high to low. It should be noted that since the total number m of IMFs in eemd. m is specified as log2 (N) - 1, the lines of the solution are merged in some cases % will therefore be less than the actual decomposition, but the period and salience of each mode will be taken into account when calculating the period and performance saliency.)

关于粗糙集的很好的学习程序，用java编程的(rough set materials using java)

基于matlab的咬尾卷积码，对数据进行编码，再利用维特比译码的方式进行解码，大学课程设计内容。(Based on matlab tail biting convolutional codes, to encode the data, and then use the Viterbi decoding the way to decode the University curriculum content. )