emd-eemd

programa que demonstra como usar multi threads

用于图着色法的蚁群算法，是Matlab文件(Matlab code.)

滤波器与伪彩色变换， 1。一个通用的高通、低通、带通和带阻滤波器函数 2。又分别实现理想、巴特沃思和指数等滤波形式 3。伪彩色处理 内附设计文档。(Filter and pseudo-color transformation, 1. A common high-pass, low pass, band pass and band stop filter function 2. Respectively realize the ideal, Butterworth and index filtering form 3. Pseudo-color handle enclosing the design documents.)

电子通信系统的建模与仿真 第7章 通信系统差错控制仿真 7.1 缩短卷积码 7.2 有缩短卷积码加交织的差错控制系统研究 7.3 自适应均衡系统（LMS算法） 7.4 迭代译码的级联卷积码 (Electronic communications system modeling and simulation of Chapter 7 error control communication systems simulation 7.1 shortened 7.2 convolutional code convolutional code increases have shortened intertwined system of error control 7.3 adaptive equalization system (LMS algorithm) Iterative Decoding of level 7.4 convolutional codes in conjunction)

在运动的位置叠加噪声。进行JPDA概率数据关联及kalman滤波。 两运动目标在x-y平面做匀速直线运动。初始位置是（4000,1200）（300,1500）速度分别是（200,200）（400,200）传感器对量目标进行位置状态量测。 采样间隔T=1,点数n=80.检测概率为1，正确量测落入跟踪内的概率为0.99，杂波均匀分布的密度为2个/km2由RAND函数产生在[0，1]上均匀分布的随机变量，跟踪门限为9.21。 (Superimposed noise in the position of the movement. JPDA probabilistic data association and kalman filtering. Two moving targets uniform linear motion in the xy plane. The initial position (4000,1200) (300,1500) speed (200,200) (400,200) position sensor on the amount of target state measurements. Sampling interval T = 1, points n = 80. Detection probability of correctly measured fall into the tracking probability 0.99, 2/km2 clutter uniform distribution of density generated by the RAND function [0,1] uniformly distributed random variables tracking threshold of 9.21.)

MATLAB的一些常用算法，anneal，MLR,PCRUVE,PLSUVE,RUN-TEST，希望对大家的学习有所帮助，(Some common algorithms of MATLAB，anneal，MLR,PCRUVE,PLSUVE,RUN-TEST，hope to learn some help,)

基于低压直流配电网的仿真，低压直流配电网在工厂中的应用( DC distribution configuration )

Gneration of direct, indirect signals with and with out delay and resultant signals Auto correlation function of those signals

multisurface_plasticity

lssvm用于状态分类和预测，主要应用于信号处理以及智能算法等领域(LSSVM is used for state classification and prediction)