BasicExamples1

基于负熵最大化的fastICA，matlab程序。程序中的公式在所附带的pdf文件中都高亮标明(Based on negative entropy maximization fastICA, matlab program. The formula in the program attached pdf file are highlighted marked)

simulink的入门教程，老师上课讲的课件，较易懂，适用于初学者(simulink introductory tutorial, the teacher talked about class courseware, more easy to understand for beginners)

利用差分进化算法（Differential Evolution）实现对经典函数sphere的验证(The use of differential evolution algorithm (Differential Evolution) to achieve the verification of classical function of sphere)

本算法在Matlab2008b 环境下实现了立体视觉中摄像机的基础矩阵计算。包括main, sevenPoint、eightpoint 和eightpoint_norm三个函数。 main.m 是程序的入口，包括生成和读入实验数据，分别调用sevenPoint、eightpoint 和eightpoint_norm 三个函数求基础矩阵，最后绘制出最后的结果。sevenPoint.m 是用7 点法求解基础矩阵。eightpoint.m 是用8 点法求解基础矩阵，eightpoint_norm.m 是数据规格化后的8 点法求解基础矩阵。(The algorithm is implemented in Matlab2008b environment based stereo vision camera matrix calculations. Including the main, sevenPoint, eightpoint and eightpoint_norm three functions. main.m is the entry, including the generation and reading test data were calling sevenPoint, eightpoint and eightpoint_norm three fundamental matrix function evaluation, and finally draw the final result. sevenPoint.m 7 method is based on matrix. eightpoint.m 8-point method is based on matrix, eightpoint_norm.m the data after the 8-bit normalized fundamental matrix method. )

基于非周期随机共振的实现，求最大相关系数有明显的效果(Implementation based on aperiodic stochastic resonance )

计算区域分布指数，Moran指数，主要用于一国区域分布描述与分析(Regional distribution of index calculation)

matlab的学习教程哦~ 适合初学者。很实用，很清楚。(matlab tutorials Oh suitable for beginners. Very practical, very clear.)

lms算法仿真，及其主要性能分析。步长的影响与学习曲线的分析。(lms algorithm simulation, and its main performance analysis. Step of the analysis and the learning curve.)

matlab中文件的读写，可以将你想要的数据通过文件打印在sin.txt的文件中，适合初学者。(read and write files in matlab, you can file through the data you want printed on sin.txt file, suitable for beginners.)

谱估计法分析随机信号，并对其进行傅里叶变换(Spectral analysis is a tool for signal analysis. Power spectrum estimation is based on limited data looking for signals, the frequency of random process or system components. It said random signal frequency-domain statistical characteristics, there is a clear physical meaning, is an important signal processing research content. Of random signals in the frequency domain, power distribution, that is the power spectral density or power spectrum. Power spectrum estimation has been widely used.)