Motion-detection-program

kalman filter for traking a moving object

采用遗传算法及改进的遗传算法进行配电网故障的定位 (Genetic Algorithm algorithm for fault location of distributionnetworks)

一个很好用的粒子群优化算法matlab源代码，用来解决单目标函数优化(A good use of particle swarm optimization algorithm matlab source code, used to solve single-objective function optimization)

模糊聚类算法在选取划分上的实例应用，绝对源码，绝对可用(fuzz cluster algorithm applying on zoning pariton.)

计算一个输入脉冲在抽样频率为fc时的有效持续时间tm(calculation input pulses in a sampling frequency fc for the effective duration tm)

智能控制第二版仿真程序，内含各个章节的matlab程序(The second edition of intelligent control simulation program, each chapter contains matlab program)

温度控制的各种PID算法 Z-N Smith预估器 m和mdl文件(Temperature control pid Z-N Smith predictor)

时变深衰落信道中的自适应均衡技术........(Deep fading channel time-varying adaptive equalization......)

独立成分分析（Independent Component Analysis, ICA）是近年来发展起来的一种有效的盲分离技术，最早是由法国学者Herault和Jutten于1986年提出。ICA方法的提出最初是用来解决“鸡尾酒会”问题，其过程可以归纳为，在源信号与传输通道参数均未知的情况下，仅根据源信号的统计特性，出现测信号恢复出源信号。ICA分析的关键在于根据一定的优化准则建立描述输出信号独立程度的优化判据，即目标函数，并设计相应的优化算法，寻求最优的分离矩阵，使得输出信号中各分量尽可能相互独立。采用ICA方法对信号进行盲分离时，可避免过多地受大能量噪声成分的影响，将部分小能量信号源识别出来。随着ICA技术的不断发展，目前ICA技术已经广泛应用于语音增强、音频识别、通信、医学信号处理、金融数据挖掘、图像消噪、数字水印、遥感等领域，并取得了一定的研究成果。(Independent Component Analysis (ICA) Component ini order, developed in recent years is a kind of effective separation technology, originally from French scholars Herault and Jutten in 1986. The proposed method is initially ICA to solve the "cocktail" problem, the process can be divided into, in the source signal transmission channels and in the case of unknown parameters according to the source of the signals, and the statistical characteristics of recovering the source signal. According to the analysis of the ICA key lies in the establishment of optimal criteria described the output signal of the independent, objective function optimization criterion, and the corresponding optimization algorithm, the optimum )

说明：  神经网络编码源程序，可以调用，方便使用，可进行二次开发(neural network source code can be called, for ease of use, can be re-developed.)