FEM

matlab实现洛伦茨系统及相位图，已经测试无误可以直接运行(Lorenz system and matlab implementation phase diagram has been tested correctly can be run directly)

【债券回购量化投资模型】：本人在投资公司做量化投资的，分享一个简单的债券回购量化投资模型，在rar压缩文件附有数据，模型的原理与策略系历史最大开盘价合约进场，细节不多讲，做量化投资的朋友可以了解一下。([Bond repurchase quantitative investment model]: I do quantitative investment in investment companies, sharing a simple bond repurchase quantitative investment model, rar compressed files with data, principles and strategy of the largest in the history of opening contract model approach , not much talk about the details, do the quantitative investment friends can look at.)

Intelligent System for Worm Detection Ibrahim A. Farag Faculty of Computers and Information Cairo University Egypt Mohammed A. Shouman Faculty of Computers and Information, Zagazig University Egypt Tarek S. Sobh Information Systems Department Egyptian Armed Forces Egypt

< MATLAB导论>>电子书,也可以用作命令速查,是麻省理工大学 电气工程与计算机科学系的matlab的一个入门教程,特别是在信号和系统中应用!()

matlab程序，通滤波器的例子,详细的看，适合初学matlab和图形图像处理的例子(matlab procedures pass filter example, detailed view, suitable for beginners and graphics image processing matlab example)

利用FFT算法产生2FSK，并对频率参数进行求取、分析(The use of FFT algorithms generate 2FSK, and frequency parameters to acquire, analyze)

独立成分分析（ICA）是最近开发的方法，它的目标是找到一种nongaussian等数据的线性表示 该元件是统计独立的或尽可能独立。应用包括信号特征提取与分离数据的基本结构。 在本文中，我们提出的基本理论和ICA的应用，以及我们对这个问题的近期工作。(Independent component analysis (ICA) is a recently developed method in which the goal is to find a linear representation of nongaussian data so that the components are statistically independent, or as independent as possible. Such a representation seems to capture the essential structure of the data in many applications, including feature extraction and signal separation. In this paper, we present the basic theory and applications of ICA, and our recent work on the subject)

说明：  很好的matlab实用程序，从光盘中拷出来的。(Matlab good utility, from the CD-ROM copy from.)

graph cut segmentation

edge detection.Real-time Canny/Sobel edge detection. Requires: Matlab Image Proc. Toolkit liveimagejpg.m . Tested: Matlab version 7.0 (linux)