AF-relay-simulation

<<工程与科学数值方法的matlab实现>>此书中的源代码(the source codes for the book <<applied numerical methods with MATLAB for engineers and scienists>>)

用于图像去噪的matlab的GUI界面程序实例，可以读入各种图像格式，选择不同去噪方法，产生去噪图像，并在同一界面下同时显示原始图像，加噪图像和去噪图像(For image denoising matlab GUI interface procedures example, can be read into various image formats, different Denoising, generated image denoising, and in the same interface also displays the original image, increase noise and image denoising images)

1. 608组样本，第一列数字是标号，第二列数字是出现损坏的时间，第三列表示数据有效性，为0有效 2. 损坏时间是对数正态分布的，需要拟合 3. 求均值80%置信区间 4. 成本为m，价格为s，保证盈利20%，选取保修期 5. 比较保修期和拟合数据的均值 6. 若保修期就是拟合损坏时间的均值，求出利润率 loadd.m：加载样本数据，并选取有效数据 period.m：加载成本、价格数据，计算利润和保修期的关系(1.608 groups of samples, the first number is the label, the second column number is the time to appear damage, the third list shows the validity of the data, which is 0 effective. 2. damage times are logarithmic normal distribution and need to be fitted 3. mean in 80% confidence interval 4. the cost is m, the price is s, the profit is 20%, the warranty period is selected. 5. compare the mean value of the warranty period and the fitting data 6. if the warranty period is to fit the mean damage time, the profit rate is calculated. Loadd.m: load the sample data and select the valid data Period.m: loading cost, price data, and calculating the relationship between profit and warranty period)

说明：  matlab入门简介，北京邮电大学多媒体通信中心 (matlab entry profiles, Beijing University of Posts and Telecommunications Multimedia Communication Center)

matlab菜鸟入门教程，讲的非常详细，对于熟悉matlab的基本功能很有帮助。(matlab Tutorial rookie, in a very detailed, for those familiar with the basic functions of matlab helpful.)

计算X光机拍出的一幅图像有多少个坏点，就是说可以计算出有多少个像素不正常的点，经过反复验证了的。(How many dead pixels calculated X-ray machine to shoot an image, that can calculate the number of pixels in the normal point, after repeated verified.)

matlab关于小波融合的源码，里面是word文档，有详细的说明和源码，可以学习和参考(matlab code on wavelet fusion, which is a word document, a detailed description and source code, you can learn and reference)

SOM神经网络，可以进行特征提取和模式分类，特别是特征维数较多的情况(SOM neural network, feature extraction and pattern can be classified, more especially characteristic dimension of the case )

常模量算法在通信过程中使用信道均衡时的效果(Application of constant modulus algorithm in channel equalization)

MATLABxct经典仿真程序设计源码MATLABxct classic simulation programming source code(MATLABxct classic simulation programming source MATLABxct classic simulation programming source code)