mk

some simulation on digital FM,as well as some dsp implemention

The file is used for Image smoothing.

给大家上传的一个基于matlab的仿真程序，希望大家看看(For everyone to upload a matlab-based simulation program, let us look at)

细胞边缘检测，带测试图片，matlab实现，效果不错(Cell edge detection, with the test picture, matlab achieved good results)

当前MATLAB在数字图像处理和分析中的应用(MATLAB in digital image processing and analysis)

惯导轨迹仿真，对于初学惯导的人有很大的帮助(INS trajectory simulation, inertial navigation for beginners who have a lot of help)

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 )

正弦信号加载2 的白噪声后的功率频谱图以及加载后的失真度计算(Sinusoidal signal loading of 2 white noise power spectrum and the calculated distortion after loading)

说明：  Matlab下的遗传算法程序，还可以，比较详细。 大家自己(genetic algorithm, but also, more detailed. We all try)

RBF网络在matlab环境中的开发，从数据输入到网络各项参数的调整都包含其中(program of RBF )