nonnegativeICAexample

cognitive radio for multi path wireless channels design environments with diffrent models

说明：  用C语言写的在matlab中编译好的时频分析工具箱，大大提高了m语言运行的效率。(Written by C language compiled in matlab time frequency analysis in the toolbox, greatly improving the efficiency of m language runtime.)

MATLAB图像处理实现螺纹识别 源程序代码(MATLAB image processing to realize thread to identify the source code )

本程序是实现Daubechies小波基的构造的MATLAB程序。(This procedure is to achieve the structure of Daubechies wavelet of the MATLAB program.)

MATLAB中文帮助，基本的帮助文件，帮助电子文件(MATLAB Chinese help, the basic help file to help electronic document)

matlab工具包4.0,用以进行潮流计算及最优潮流的源代码。(matlab tools package)

用MATLAB编写的svm源程序，可以实现支持向量机，用于特征分类或提取(Using MATLAB svm prepared by the source, can achieve a support vector machine for classification or feature extraction-MATLAB)

进行核主成分分析，KICA，克服主成分分析不能提取非线性特征，提取核主成分(Nuclear principal component analysis, KICA, extraction of principal components)

两个OFDM的仿真程序，大家可以对比看一下。(Two OFDM simulation procedures, we can look at the contrast.)

RNNSIM ver. 1.0 is a program with an intercative graphical user interface (GUI) that runs under MATLAB ver. 5.0 or higher. The program can be used in training and testing the Random Neural Network(RNN) models. This version (ver. 1.0) implements only the 3 layer feed forward RNN model. In the next versions, the multi hidden layers and the recurrent RNN models can be implemented. To obtain faster training, the training section can be written as a MEX file and invoked from the GUI. If you have the m files in the directory rnnsim for example, then you can run the program following the next steps: 1- run MATLAB as usual 2- from the MATLAB command window, write cd rnnsim 3- from the MATLAB command window, write rnnsim