volterra

介绍matlab2006a的教程及源程序(Tutorials and source code introduced matlab2006a)

基于单神经网络的PID智能控制，基于自适应神经网络补偿的PD控制，基于二次型性能指标学习算法的单神经元自适应PID控制。(PID intelligent control based on single neural network, PD control based on adaptive neural network compensation, single neuron adaptive PID control based on two order performance index learning algorithm.)

说明：  二维自适应维纳滤波，维纳滤波对图像噪声的影响。(Two-dimensional adaptive filtering, Wiener filtering of image noise.)

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.)

《MATLAB遗传算法工具箱及应用》书籍源程序(MATLAB genetic algorithm toolbox and application source code)

RGB和Lab颜色空间互相转换Matlab代码，亲测，非常好(Codes to transfer between RGB and Lab color space. Perform perfectly)

osgearth 矢量数据处理包含国际线和省级线(Osgearth vector data processing includes international line and provincial line)

get google map matlab

Fast-ICA implementation

Source separation problems in digital signal processing are those which are used to separate useful signal a mix of signals of interest, other signals and noise. The typical example of a source separation problem is the cocktail party problem, where many number of peoples are talking simultaneously in a room and a listener is trying to follow one of the discussions. The human brain can separate the voices of different people (source separation) using neurons in the auditory region. But source separation using digital signals is difficult task with the available techniques. Several approaches have been proposed for solving this issue but most of the techniques are still in development stages. Some of the successfully tested approaches are principal components analysis (PCA) and Independent components analysis (ICA). Both the approaches work well when there are no delays or echoes present