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独立成分分析( I C A) 是一项把混合信号分解成具有统计独立性成分的新技术 。I C A近年已在生物医 域的信号分离中展示 了很好的应用前景 。 我们比较系统地介绍了 I C A的基本原理 、 主要算法 、 应用和 究的发展方向，旨在进一步推动有关的理论与应用研究工作。 (Independent Component Analysis (ICA) is a decomposition of the mixed-signal components into a statistical independence of the new technologies. In recent years, ICA has been in bio-medical domain signal separation show a very good application prospects. We systematically introduced the basic principle of ICA, the main algorithms, applications and the development direction of research aimed at further promoting the application of the theory and research.)

Heritrix官方开发文档，crawler.archive.org/articles，提供了基本的类的开发介绍。((Heritrix official development documents, crawler.archive.org/articles, provides a basic introduction class development.))

一个关于印章识别的程序，能很好的学习Gui用的模式识别中判别函数法。(A seal of recognition on the program can be good learning Gui with the discriminant function method in pattern recognition.)

简介：IFP_FCM,改进型FCM(模糊C均值)聚类算法,由Frank Hoppner与Frank Klawonn于2003年提出,解决了FCM算法对初始值设定较为敏感、训练速度慢、在迭代时容易陷入局部极小的问题。并附带了Box和Jenkins煤气炉数据模型辨识实例。 文件清单： IFP_FCM算法原始论文： Improved fuzzy partitions for fuzzy regression models.pdf 程序清单： IFP_FCM.m - IFP_FCM算法主函数 initifp_fcm.m - initifp_fcm子函数 stepifp_fcm.m - stepifp_fcm子函数 distifp_fcm.m - distifp_fcm子函数 IFP_FCM_T_S_box_test.m - IFP_FCM测试实例：Box和Jenkins煤气炉数据T-S模糊模型辨识 数据文件： box_data.mat - Box和Jenkins煤气炉数据(IFP_FCM, modified FCM (Fuzzy C-Means) clustering algorithm, in 2003, proposed by Frank Hoppner and Frank Klawonn, FCM algorithm to solve the initial value setting is more sensitive, slow training, while iterating easy to fall into local minimum problem. And comes with Box and Jenkins gas furnace model identification data instance.)

包含DVB-T标准中的内交织，内编码，卷积交织，和基4FFT 1024。所有程序为MATLAB实现，特别推荐FFT旋转因子求法。(Includes DVB-T standard within intertwined, with coding, Convolutional Interleaver, and base 4FFT 1024. MATLAB realization of all the procedures, in particular, recommended rotating factor FFT method.)

用matlab写的DC-CDMA的仿真源代码(Written by DC-CDMA matlab simulation source code)

说明：  用C-C时间序列插入构造李亚普诺夫计算方法(Time series with CC Insert method of calculating Lyapunov structure)

全自由度空时自适应处理,加载数据后可以直接运行(Full freedom of space-time adaptive processing, loading data can be run directly)

在matlab开发环境下，实现对直流电动机调速系统的仿真(MATLAB development environment to achieve the simulation of DC motor speed control system)

A Point on an Elliptic Curve in barycentric (or affine) coordinates.