fuzzy-control

Kernel principal component analysis (kernel PCA) is an extension of principal component analysis (PCA) using techniques of kernel methods. Using a kernel, the originally linear operations of PCA are done in a reproducing kernel Hilbert space with a non-linear mapping.

matlab中一种遗传算法的源程序 很全面 很有用(a genetic algorithm matlab source code is very comprehensive and useful)

code for sattelite calculaton

该代码主要是解决激发介质问题，用来计算每一个元胞。(The code is mainly to solve the problem excitable media, used to calculate each cell.)

这是有关matlab的编程，值得一看，呵呵呵呵呵呵呵呵(matlab)

GMSK的系统框图，simulink建模以及方针(GMSK block diagram of the system, simulink modeling approach)

此源码程序是自适应滤波中的应用LMS算法进行仿真。对LMS算法的性能 收敛速度进行了研究(The source process is the application of adaptive filtering LMS algorithm simulation. The performance of the LMS algorithm convergence rate have been studied)

基于小波的纹理特征，小波四层分解，特征向量含有均值、标准差、空间频率等，共13*4个特征。(Based on texture feature of wavelet, wavelet decomposition, four layers of characteristic vector containing the mean, standard deviation, such as spatial frequency, a total of 13* 4 characteristics.)

对基于四阶累积量的MUSCI算法进行去冗余，把多余的冗余数据剔除，在保持良好分辨率的基础上也降低了运算复杂度。(Fourth-order cumulant-based algorithm to the MUSCI redundant, removed the extra redundant data, while maintaining good resolution also reduced on the basis of computational complexity.)

说明：  Floyd算法,求两点间最小路径,很有用(Floyd algorithm for the minimum path between two points, very useful)