matlab

双层规划模型的遗传算法求解的Matlab源码(Bi-level programming model of genetic algorithm)

The performance of a Numerical relay and its application for prot:ection of an EHV Tansmission line are simulating by using Matlab.DOCUMENT AND BASE PAPER

基于MATLAB编程的最小噪声分离方法处理高光谱影像（Minimum Noise Separation Method Based on MATLAB Programming for Hyperspectral Image Processing）(Minimum Noise Separation Method Based on MATLAB Programming for Hyperspectral Image Processing)

边缘检测边缘检测边缘检测边缘检测边缘检测边缘检测(Edge detection edge detection edge detection edge detection edge detection edge detection)

chua matlab model simple analysis A solution of these equations (I3,V2,V1)(t) starting from an initial state (I3,V2,V1)(0) is called a trajectory of Chua s oscillator. This function uses a RungeKutta integration method optimised for the chua paradigm Reference: ABC - Adventures in Bifurication & Chaos ... Prof M.P Kennedy 1993

说明：  This Matlab script illustrate how to Enhance the color image without change in HUE and without GAMUT problem.

基于OFDM体制的调制和解调程序。对码流进行OFDM方式的调制和解调。(System based on OFDM modulation and demodulation process. Code stream of OFDM modulation and demodulation methods.)

说明：  MATLAB 即有内建的解决很多通常遇到的曲线拟合问题的能力， 又具有附加这方面的 产品。本技术手册描述了几种拟合给定数据集的曲线的方法(MATLAB built-in solution that is often encountered in many curve fitting problems, but also has additional products in this area. This technical manual describes several data sets fit the curve of a given method)

AR随机过程的建模，给定一个AR过程，对其进行建模，分别利用Yule-Walker方程和协方差法进行功率谱估计(AR random process modeling, given an AR process, its modeling, respectively, Yule-Walker equations and covariance method of power spectrum estimation)

This demo explains the use of the advanced object oriented interface model. The model is the generic object which collects all relevant signals, parameters, options and functions related to an application of the LS-SVM. This interface is depreciated for the casional users because of the implicit nature: the distinction between in- and output vanishes. If one wants to use the full power of LS-SVMlab, one is recommended to go through this demo. The options can be divided in 5 classes, the general LS-SVM options the trainpoint administration, the options of the Conjugate Gradient algorithm the preprocess options and the encoding options. The demo shows how to control the preprocessing and the coding using the appropriate model. It is adviced to check carefully the model s options before starting the calculations.