simulated-annealing_Matlab

基于稀疏分解的单个信号盲分离，从多个混合信号中，提取出我们需要的信号(Sparse decomposition based on a single blind signal separation, from the number of mixed-signal, we need to extract the signal)

瑞利衰落的matlab源码,实现瑞丽衰落的matalb仿真(rayl fading)

采用格子玻尔兹曼方法模拟了2维泊肃叶流 选择D2Q9格子 可输出速度和压力曲线(Using lattice Boltzmann method to simulate the two-dimensional Poiseuille flow D2Q9 lattice can choose the output speed and pressure curve)

(eWiley) Optimum Array Processing 包含最有阵列处理（英文版）一书的所有MATLAB仿真源代码。((EWiley) Optimum Array Processing all MATLAB simulation source code contains the most array processing (English).)

很好的机器人轨迹跟踪程序，欢迎大家下载学习(Good path tracking program, are welcome to download study)

说明：  独立成分分析是近年来出现的一种强有力的数据分析工具。1994年由Comon给出了ICA的一个较为严格的数学定义，其思想最早是由Heranlt和Jutten于1986年提出来的。ICA从出现到现在虽然时间不长，然而无论从理论上还是应用上，它正受到越来越多的关注，成为国内外研究的一个热点。特别是从应用角度看，它的应用领域与应用前景都是非常广阔的，目前主要应用于盲源分离、图像处理、语言识别、通信、生物医学信号处理、脑功能成像研究、故障诊断、特征提取、金融时间序列分析和数据挖掘等。 ICA是一种用来从多变量（多维）统计数据里找到隐含的因素或成分的方法，被认为是主成分分析（Principal Component Analysis, PCA）和因子分析（Factor Analysis）的一种扩展。对于盲源分离问题，ICA是指在只知道混合信号，而不知道源信号、噪声以及混合机制的情况下，分离或近似地分离出源信号的一种分析过程。(Independent Component Analysis, ICA)

雷达信号处理雷达信号处理雷达信号处理雷达信号处理雷达信号处理(Radar signal processingRadar signal processingRadar signal processingRadar signal processingRadar signal processing)

This function transforms a three-phase unbalanced phasor into its symmetrical components.

power_SwitchedReluctanceMotor.rar,功率电子领域matlab仿真文件，已经验证过，程序运行正常(power_SwitchedReluctanceMotor.rar,Power electronics field matlab simulation file, has already been verified, the normal operating procedures)

The paper deals with the fuzzy control of a wastewater treatment process in which the organic substances are removed. The process is treated as a multivariable process having as control inputs the dilution rate, the aeration rate and the recycling rate and as output variables the dissolved oxygen and the substrate concentrations in the effluent. The process sensitivities with respect to the control inputs in the case of indirect control through the control of dissolved oxygen concentration and of the direct control of substrate were studied. In all cases fuzzy controllers were used. It was also shown that fuzzy control provides good results in the presence of disturbances and parametric uncertainties of the model.