mimo

this code was development by George christakos, Serre, M and Patrick Bogaert for implement the Bayesian Maximun Entropy Approach to enviromental and physical mapping research

This tutorial describes the use of Artificial Neural Networks in Matlab.

说明：  该函数用来计算时间序列的最大Lyapunov 指数--Wolf 方法(The function used to calculate the time series of the largest Lyapunov index- Wolf method)

对图像进行添加噪声处理，并计算相应的峰值信噪比的matlab程序。(A matlab program: add noise to an image and calculate correspondly the Peak Signal to Noise Ratio . )

m序列产生程序.matlab程序实现。验证正确。根据m序列的原理(m sequence)

说明：  an evolutionary programming for solving unit commitment problems

一种未知输入/输出的解耦方法，可用于控制器的设计、故障诊断系统设计等(An unknown input/output decoupling method can be used for controller design, fault diagnosis system design)

本例中主要用到的函数是色彩空间转换函数 makecform 和 applycofm,对于K均值聚类使用 Kmeans函数。(Used in this case, the main function is the color space conversion functions makecform and applycofm, for the K-means clustering using Kmeans function.)

单目标测试函数 单峰的多峰的 很多个matlab(Single-objective test functions unimodal the multimodal many matlab)

the attached file consists of matlab code for implementation of sequential importance sampling particle filter given in IEEE paper entitled as "A TUTORIAL ON PARTICLE FILTERS FOR ONLINE NONLINEAR NON GUASSIAN BAYESIAN TRACKING"