linear_model_with_pss

详细描述了关于几个同时说话人语音分离的情况，其中包括了原代码和测试语音，测试结果表明分离效果很好，能够区分不同人说话的语音，明显提高语音识别率。其中的参考论文在readme中。(A detailed description about several while speaking voice separate conditions, including the original code and test speech, test results show that the effect is very good separation between different people speak of speech recognition, obviously improved pronunciation. One of the reference in the readme.)

图像图形小波分解与重构算法 MATLAB 语言源程序(Wavelet decomposition)

该软件包详细给出了字母识别的程序代码及训练字符，对有用到这方面的朋友会很有帮助。(Details of the package gives the letter code identification and training of character, to be useful to the friend would be helpful in this regard.)

this file contains a good program in matlab for HAR wavelet

是关于使用内点法来研究的最优潮流计算。对于研究opf的具有一定帮助(Interior point method to study the optimal power flow calculation. Have some help for research opf)

蒸汽发生器的水位控制微分方程的求解程序，附带多种工况(use matlab to simulate SG level control under various Working conditions)

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)

1-32是：图形应用篇 33-66是：界面设计篇 67-84是：图形处理篇 85-100是：数值分析篇 (1-32 are: application of articles 33-66 are graphic: interface design articles 67-84 is: is the graphics chapter 85-100: Numerical Analysis Section)

The BCJR algorithm is an algorithm for maximum a posteriori decoding of error correcting codes defined on trellises (principally convolutional codes). The algorithm is named after its inventors: Bahl, Cocke, Jelinek and Raviv.[1] This algorithm is critical to modern iteratively-decoded error-correcting codes including turbo codes and low-density parity-check codes.

Matlab经典算法__最短路径 比较好的，能够很好的适应各种不同情况(Matlab classical shortest path algorithm __ relatively good, very good to adapt to different circumstances)