Quadrature

This is a z transform based watermarking algorithm used for copy right protection

this code reduce the dimentional of feature space using combine sparse matrix+PCA for classification eeg signal. more detail exixst inside the code. this code tested and work properly

着重探讨了在VB应用程序中集成MATLAB实现程序优化的四种方法,即利用MatrixVB、调用DLL动态链接库、应用Active自动化技术和动态数据交换技术,并分析了集成过程中的关键问题及其基本步骤。这种混合编程实现了VB的可视化界面与MATLAB强大的数值分析能力的结合。 (VB application integration MATLAB program optimization focused on four methods, namely the use of MatrixVB to call DLL dynamic link library, application Active automation technology and dynamic data exchange technology, and analyzes the key issues in the integration process and its basic steps. This hybrid programming to achieve a combination of powerful numerical analysis capabilities of the visual interface of the VB and MATLAB.)

统计直方图 matlab 概率密度函数和统计直方图的拟合(Histogram matlab probability density function and a histogram fitting)

适用于初学者，能快速的理解掌握matlab的知识。偏向于matlab在自动控制中的代码的讲解(Applicable to beginners, can quickly understand and master the knowledge of matlab. In favor of MATLAB in the automatic control in the code. )

对二维矩形阵列，进行空间谱估计！适合阵列测向的新手，建议先仔细学习基础知识。在知识积累上想进行垮越式发展，于初学者来说最重要的是能帮助你弄清楚问题根本何在。 (Of two-dimensional rectangular array, spatial spectrum estimation! Suitable for the novice to the array of measurement, it is recommended to carefully study the basic knowledge. In the accumulation of knowledge on Vietnam-style collapse would like to carry out development for the beginner to the most important thing is to help you figure out what the problem is.)

基于牛顿法的配网潮流计算程序，采用改进牛顿法，对初学者有很大帮助(Calculation is based on Newton s method with network flow program, an improved Newton, a great help for beginners)

LTE-A系统中载波聚合介绍，初学者适合理解其概念(Carrier aggregation for LTE-advanced mobile communication systems.pdf)

基于形状的匹配是图像匹配领域的一个新的方法，文件里面是关于基于形状匹配的国外相关文章以及MATLAB代码。(Shape-based matching is a new approach in the field of image matching, document which is based on shape matching foreign-related articles and MATLAB code.)

solving ODEs with MATLAB..