multispectral

关于MATLAB和vc混合编程，界面开发，图像处理等方面的应用的23篇文章，文章大多来自核心期刊(Vc on MATLAB and mixed programming, interface development, image processing, such as the application of the 23 articles, journal articles, mostly from the core)

matlabGUI学习例程。注意使用的时候，matlab的单引号的用法。(matlabGUI learning routines. Note the use matlab usage of single quotes.)

各式各样的扩散为基础的图像滤波方法: 1。线性扩散滤波使用热方程,解决了使用隐式和显式欧拉方法。 2。边缘增强线性各向异性扩散滤波。 3。边缘增强非线性各向异性扩散滤波。(The spread of a variety of image filtering method based on: 1. Linear diffusion filter using the heat equation, solved using implicit and explicit euler method. 2. Edge enhancement of linear anisotropic diffusion filter. 3. Edge enhancement of nonlinear anisotropic diffusion filter. )

正安全容量概率matlab仿真所有源程序，对于学习无线通信物理层安全的同学有一定的指导意义。( The Monte Carlo simulatiom and accurate curve of Positive Secrecy Probability. The source file are very rare and significant. I hope it will be helpful to somebady who is studing Wireless Communication. )

基于四个移位寄存器的最小二乘递推算法辨识程序(Shift register based on the four identification procedures recursive least squares algorithm)

qpsk的仿真和应用很好用自己运行可以运行(qpsk simulation and application)

Layer KRR method document

此为一篇介绍mcmc方法的外文文献 非常适合刚刚接触mcmc方法的初学者(This paper introduces the readers of the Proceedings to an important class of computer based simulation techniques known as Markov chain Monte Carlo (MCMC) methods. General properties characterizing these methods will be discussed, but the main emphasis will be placed on one MCMC method known as the Gibbs sampler. The Gibbs sampler permits one to simulate realizations from complicated stochastic models in high dimensions by making use of the model’s associated full conditional distributions, which will generally have a much simpler and more manageable form. In its most extreme version, the Gibbs sampler reduces the analysis of a complicated multivariate stochastic model to the consideration of that model’s associated univariate full conditional distributions.)

一个matlab处理海量数据的优化方法和源代码。(a massive data processing methods and optimization of the source code.)

金钱豹matlab测试设计方法 打开金钱豹 —》 设置—》交易模型设置（同时，打开安装目录中matlabfiles文件夹，如果不存在，就解压对应的压缩文件matlabfiles ）—》阅读其中的matlab程序(现有两个较为简单的示例策略） —》（假设我们要测试日内一分钟价差套利）—》选择接口类型matlab，添加模型名称，选择输入参数，选择输出参数，以及m文件路径—》以上步骤完成后按“修改",模型即转入—》打开测试品种的行情（IF1005，IF1006）——》转换成一分钟频率（按”分时/周期切换“或右键）——》选择模型—》对两个品种分别加装同一个模型matlab1 jiacha——》这个时候会自动生成当日价差图。(matlab1 jiacha)