elearn

利用常用四阶龙格-库塔公式求初值，再利用汉明公式、米尔恩公式和改进的四阶亚当斯隐式公式及常用的四阶龙格-库塔公式求解其余的数值解求解常微分方程初值问题，并计算它与精确解的误差(Use of commonly used fourth order Runge- Kutta initial value to the Formula, and then use the Hamming formula, Milne formula and improved fourth-order implicit Adams formula and the commonly used Runge- Kutta formula for solving the numerical solution for solving the remaining ordinary Differential Equations, and calculate the error it with exact solutions)

Tutorial Programming in MATLAB

Steganography text using an image

语音处理基础，语音的读写录制和播放，matlab源码。pdf格式。(audio signal s read,write,play)

此程序是matlab中有关平滑去噪中常用的小波的程序，简单使用，其中的注释详细，对每个变量的注释都很清楚(Matlab in this procedure are commonly used on the smooth wavelet denoising procedure, simple to use, with detailed explanatory notes for each variable are well aware of the Notes)

for read and analysis of GEO Data

Matlab code for Image registration of the mri images .. the file has the mri image and registration of scaling ..affine registration is performed here..

实现了数据从文件的输入，ar模型预测，arma模型预测，卡尔曼滤波器模型预测，利用图形用户界面编写(Realized the data from the file input, ar model predictions, arma model prediction, Kalman filter model predictions, using a graphical user interface for the preparation of)

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)

identification of system using kalman method