cgtrust

一些MATLAB SVM的论文资料，希望可以对大家有用(very good)

HG DF FDHGD FDHG FDH RTYR YRYDTYT I UIUI RTU ETR DFH TYJHK GF J DTYRY4YRD R YTD YDR RT F

基于DCT数字水印算法的Matlab实现源代码(DCT-based digital watermarking algorithm Matlab source code)

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)

sample code for desiging of Digtial Electronics

KL变换。本文件实现了利用KL变换对声音文件进行去噪。(KL transform)

通过语音识别对类型进行分类，使用HMM-GMM模型(Classification is done by speech recognition, using HMM-GMM model.)

DRNN神经网络自学习PID解藕控制，与PID相比具有抗干扰能力强特点(DRNN self-learning neural network PID control solution lotus, compared with PID characteristics of anti-interference ability)

说明：  matlab code to open an image

newton raphson load flow