MATLAB2010Super-tutorial

steganography dct image algorithm. very useful for implementing dct and idct concepts in matlab......

发动机万有特性曲线的画法以及代码MATLAB(Engine universal characteristic curve drawing method and MATLAB code)

遗传算法优化神经网络的权值和阈值 matlab程序代码(Genetic algorithm optimization neural network weights and thresholds)

比较经典的matlab的电力系统潮流计算程序(more classic Matlab power flow calculation procedures)

used to calculate energy efficiency in wireless sensor nodes

基于粒子群算法的电力系统负荷分配问题（1）数学模型： 以IEEE 3机6节点为工况模型 ，Load=850MW （2）目标函数： minF=∑(i=1，Ng)Fi(PGi)，Fi(PGi) =aiPi2+biPi+ci+Ei，考虑阀点(Valve-Point)效应 （3）约束条件： a.发电机组输出功率上下限约束，即PGi min<=PGi<= PGimax； b.电力负荷平衡约束，忽略网损，即∑(i=1，Ng)（PGi）= PGD(Based on particle swarm optimization of power system load allocation problem)

function [t_fismat, t_error, stepsize, c_fismat, c_error] ... = anfis(trn_data, in_fismat, t_opt, d_opt, chk_data, method) ANFIS Training routine for Sugeno-type FIS (MEX only). if nargin > 6 & nargin < 1, error( Too many or too few input arguments! ) end Change the following to set default train options. default_t_opt = [10 training epoch number 0 training error goal 0.01 initial step size 0.9 step size decrease rate 1.1] step size increase rate Change the following to set default display options. default_d_opt = [1 display ANFIS information 1 display error measure 1 display step size 1] display final result

用matlab编写函数实现4qc运算，已经通过测试(Write a function with matlab implementation 4qc operations have been tested)

本書系統地介紹了通信建模仿真方法和模型驗證技術，並結合作者近年在教學科研中所 設計的大量基礎的和較深入的建模仿真實例，詳細討論了Matlab/Simulink 作為仿真實現平 台在電子與通信工程中應用的基本方法、技巧和難點(This book systematically describes the modeling and simulation of communication methods and model validation techniques, combined with the author in recent years in teaching and research in the design of a large number of basic and more in-depth modeling and simulation examples are discussed in detail Matlab/Simulink as a simulation platform for the realization of electronic and communication engineering application of the basic methods, techniques and difficulties)

principal component analysis applied to an image