bss_eval

This is layleigh source code for Matlab program

amplitude modulation

Q_Learning Algorithm and its application in cooperative multi robot task

关于视差提取的算法，用MATLAB语言编写的，可用于立体深度处理。(These codes are used for stero matching about the 3D graphes. You can get a disparity map from the left and right pictures.)

张正友相机标定程序 张正友摄像机标定法是一种简单实用的标定法，本次试验中共取用了同一摄像机从不同角度拍摄的六幅图像，经过Harris角点提取并优化从每幅图像中取十个特征点来进行摄像机标定（这十个点的世界坐标相同）。(Zhang Zhengyou camera calibration procedure Zhang Zhengyou camera calibration method is a simple and practical calibration method, this test CCP access to the six images of the same camera taken different angles, through Harris corner extraction and optimization take ten each image camera calibration feature points (the same world coordinate these ten points).)

lpc synthesis for voice

matlab 关于association rule 的自己写的函数，有3个文件, association.m：h = association(m, i, j) i=>j, m是数据，h是support和confidence，该函数只适用于单个数据 ass_item: h=ass_itset(m, a, b) 同上，但是可用于多个数据（m为数组） assrule: h = assrule(m, threshold1, threshold2) 该函数用于classification， 得到规则，threshold1为要求的support,threshold2为要求的confidence，h 则为符合要求的规则及其support和confidence，前2列为规则，后2列为其support和confidence (matlab on the association rule to write functions, there are 3 files, association.m: h = association (m, i, j) i => j, m is the data, h is the support and confidence, this function applies only to a single Data ass_item: h = ass_itset (m, a, b) it is the same as above, but it can be used for multiple data (m can be matrix) assrule: h = assrule (m, threshold1, threshold2) the function used for classification,get the rules, threshold1 is the require of support, threshold2 is the required of confidence, h is the rules and their support and confidence, the former two columns as a rule, the latter two columns as one of its support and confidence)

This code computes the approximation of the convolution integral (*) between two functions, f(t) and g(t), sampled at the times t1,t2,...,tm (unit spacing), via the trapezoidal quadrature rule. To compute the integral with other than unit spacing, multiply the result by the spacing increment.

UCW的原理和matlab仿真计算程序代码，经过测试(UCW theory and simulation matlab code, tested)

本算法为粒子群优化算法，适用于初学者，压缩包中附带了一个基本函数用于实践。(This algorithm is a particle swarm optimization algorithm, which is suitable for beginners. A basic function is attached to the compression package for practice.)