SR

基于MATLAB 7.X SIMULINK_STATEFLOW系统仿真、分析及设计(Based on MATLAB 7.X SIMULINK_STATEFLOW system simulation, analysis and design)

说明：  双坐标曲线的MATLAB程序。需要的来下载。(Dual process MATLAB curve coordinates. Need to download.)

由一个0到1均匀分布随机变量直接抽样产生瑞利分布白噪声，以及自相关函数和功率谱(Directly sampling a Rayleigh distribution of white noise uniformly distributed random variables from a 0-1, and the autocorrelation function and power spectrum)

运用压科比矩阵的电力系统潮流计算程序。matlab编程。(Flow calculation)

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 )

进行潮汐调和分析的程序，比较实用，适合初学者的学习。(For tidal harmonic analysis procedure more practical for beginners to learn.)

《统计信号处理》中使用Prony建模方法来模拟随机信号(PRONY Model a signal using Prony s method )

说明：  可以实现一幅图像中彩色边缘的提取，实在matlab的条件下，有多种算子(Can achieve a color image edge extraction, it is matlab conditions, a variety of operator)

the is cuK converter designed in matlab by me.. it is closed loop operated one.. which cam regulated line as well as load

关于遗传算法的源码，用MATLAB实现的，对初学者非常有用。(The source of genetic algorithm, using MATLAB to achieve, is very useful for beginners.)