matlab4

A collection of monopole, bipole behaviour matlab source code with their own representation. Adaptive control of noise.

文件中包含了杨大成《移动传播环境》中7.2.1.2小节的利用等面积法（MEA）实现经典功率谱的功率谱密度，自相关函数，自相关函数均方差。希望能帮助你们。(File contains POSTS " mobile communication environment" in section 7.2.1.2 the use of equal-area method (MEA) to achieve the classic power spectrum of the power spectral density, autocorrelation function, autocorrelation function of MSE. Hope you have help, I will continue to post updates more results.)

基于MATLAB的SPWM调制的仿真模型。(The SPWM modulation MATLAB simulation model.)

Fruit Fly Optimization for ZSCORE

这是一个关于图像中值滤波的程序，能够对图像起到滤波的作用，特别是对冲激噪声特别有效(This is an image median filtering on procedures to filter the image play a role, especially for impulsive noise is particularly effective)

建和运行 Hilo 示例，如何组织源代码，以及它所使用的工具和语言，window metro app 应用开发实例(Hilo built and running the sample, how to organize the source code, as well as its use of tools and languages, application window Metro app development examples)

用matlab解决vrp问题,本程序为遗传算法解决基本VRP问题的例程。各供货点距离矩阵及遗传算法参数在VRP( Vrp with matlab solve problems, the present program to solve the basic problem of genetic algorithm VRP routines. Each delivery point distance matrix and genetic algorithm parameters in VRP)

用于GUI界面设计和开发的一本好书~ 深入讨论MATLAB图形绘制的方式、句柄图形概念、图形的进阶操作、人机接口的建立方法与程序编译转文件问题技巧。(GUI interface for the design and development of a good book ~ depth discussion of the way MATLAB graphics rendering, handle graphics concepts, graphics, advanced operations, human-computer interface to establish methods and procedures for compiling the file transfer problem skills.)

基于最大信噪比的盲信号分离，采用MATLAB环境实现程序仿真(Maximum signal to noise ratio-based blind signal separation )

This demo nstrates the use of the reversible jump MCMC simulated annealing for neural networks. This algorithm enables us to maximise the joint posterior distribution of the network parameters and the number of basis function. It performs a global search in the joint space of the parameters and number of parameters, thereby surmounting the problem of local minima. It allows the user to choose among various model selection criteria, including AIC, BIC and MDL