Runge-Kutta-4

谱分析的改进程序，适用于初学者，也是刚刚开始学的，水平不是很高(Spectral analysis of the improvement program for beginners, is just beginning to learn, is not very high level of)

高斯脉冲在光纤中随传播距离变化matlab仿真(Gaussian pulse in a fiber to the propagation distance matlab simulation)

作者详细给出了四轴飞行器建模的仿真实验过程，适合飞行爱好者阅读(The author gives a detailed simulation modeling process Four aircraft for flight enthusiasts reading)

matlab图像处理实例详解chap11——图像特征分析(matlab image processing examples explain chap11- image feature analysis)

MODELING OF STATIC SERIES VOLTAGE REGULATOR IN DISTRIBUTION SYSTEM FOR LOSS REDUCTION

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 )

Two images can be fuse or merge on the basis of contrast using matlab program. this program fuses two images as well. Here in this zip folder two images with fuze program is atteching.

说明：  优化设计，利用牛顿法求函数的极值，包含全部程序(Optimization design, using Newton method to find the extreme value of function, including all programs)

This is visual basic codes of genetic algorithm

定义了一个函数来生成m序列，给定特征多项式向量和初始向量，可以生成对应的m序列。(Defines a function to generate the m sequence, a given characteristic polynomial vector and the initial vector, can generate the corresponding sequence m.)