DOP-and-AOP

matlab数据结构 算法工具箱, 包括堆栈 队列 2叉树 红黑树 等等(Data Structures & Algorithms Toolbox ==================================== The Data Structures & Algorithms Toolbox provides advanced data structures and algorithms for the Matlab(r) 5 environment. It implements functions to create and destroy singly and doubly linked list, stack, queue, binary tree and red-black (balanced) binary tree. Data elements can be inserted, deleted or searched for. A graphical representation of trees can be shown. All algorithms are clearly written as m-files, which allows the toolbox to be used as a teaching aid in educational data structures courses. This is the first implementation available of advanced datatypes, common in other languages, for Matlab.)

一个在matlab中的频率法滞后校正实验过程报告..WORD文档(one of the Matlab frequency lag correction experiment report .. Word document )

ANFIS Network For Prediction Of Data

我自己编写的简单的nsga2程序，对于初次接触该算法的朋友会有很大帮助(I have written a simple nsga2 program will be very helpful for the initial contact with the friends of the algorithm)

幂法是一种计算矩阵主特征值（矩阵按模最大的特征值）及对应特征向量的迭代方法，特别适用于大型稀疏矩阵。 但是，一般幂法迭代向量v的各个不等于零的分量将随k 趋向于无穷大而使计算机溢出。因此，我们必须对某通幕法进行规范。即规范化幂法 (Power Method is a calculation of the main eigenvalue matrix (matrix according to the largest eigenvalue modulus) and the corresponding eigenvector of the iterative method, especially for large sparse matrix. However, the general power-law iteration vector v is not equal to zero all the components will be as k tends to infinity overflow of the computer. Therefore, we must pass a law to regulate screen. That is, standardized Power Method)

motion detctor code in a videooo

FastICA Code. Independent Component Analysis code for signal extraction

说明：  连续隐马尔可夫模型cdhmm,多用于语音识别中，在文本相关的语音识别中，识别效果很好。(cdhmm)

说明：  数学建模1998年A题论文集。其中有matlab中的程序的思路及计算的结果。非常好，很难得的。(Mathematical Modeling A title in 1998 collection. Matlab in which the idea of the procedures and calculation results. Very good, hard to come by.)

关于卡尔曼滤波的matlab代码，其中包含了滤波的主算法，以及使用EM查找最大可能的估计参数，随机样本等等(Kalman filter matlab code, which contains the main algorithm filtering, and the use of EM to find the best possible estimate parameters of a random sample, etc.)