gmm

使用MVM算法实现信号的方位角估计 得出算法性能(MVM algorithm using signal azimuth estimation performance of the algorithm derived)

数字图像中心点的确定、定位、图像的裁剪、以及数字图像样本的输出等。(To determine the center of the digital image, positioning, image cropping, digital image sample output.)

粒子群优算法在求解优化问题时非常智能和迅速，这里用二进制粒子群算法来求解组合优化问题的matlab程序。(Binary Particle Swarm Optimization)

改进的蚁群算法matlab程序，验证无误。(ant-system)

Codes related to electrical machine.

我们的目的是将一个分数拆分成若干个分子是1分母是正整数的分数之和的形式。例如2/3可以拆分成1/2+1/6的形式。这里不考虑顺序，比如1/6+1/2和1/2+1/6相同。 输入p, q, a, n, 其中p/q为分数，对这个分数进行拆分，要求拆分的分数个数不能多于n个，所有分母的乘积不能大于a。求有多少种拆分方法? 输入：最多200组数据。在每行中都有四个数分别表示p, q, a, n，之间以空格隔开，并且满足p,q<=800，a<=12000，n<=7，最后以四个0做为输入的结束。 输入示例: 2 3 120 3 2 3 300 3 0 0 0 0 输出示例: 4 7 (Our aim is to split a fraction into a number of elements is a denominator is a positive integer fraction of the sum of form. For example, 2/3 can be split into 1/2+1/6 form. Not considered here, the order, such as 1/6+1/2 and 1/2+1/6 of the same. Input p, q, a, n, where p/q as a fraction of this split scores require no more than the number of split points n-all the product of the denominator can not be larger than a. How many kinds of demand split method? Input: Up to 200 sets of data. In each line has four numbers indicate the p, q, a, n, separated by a space between, and meet the p, q < = 800, a < = 12000, n < = 7, the end, four 0 as the input end. Input Example: 2,312,032,330,030,000 sample output: 47)

The Generalized ESD procedure ( gesd ), tests for up to a prespecified number r of outliers and it is specially recommended when testing for outliers among data coming from a normal distribution.

《现代图像处理技术及Matlab实现》详细介绍了现代图像处理技术的基本知识及Matlab图像处理技巧，并强调了图像处理的理论和应用相结合的方法。每一章都先阐述现代图像处理技术的理论背景，然后引出在实际应用中的Matlab实现算法，覆盖了所涉及内容的理论分析、算法结构以及实现中的数据准备、转换、显示和输出等各个环节。《现代图像处理技术及Matlab实现》是一部反映现代图像处理实用技术和应用的著作，可以作为各大专院校教师、研究生以及从事图像处理研究和开发的科技人员的参考书。(NO)

Given a 3D cloud of points accompanied by normals an implicit b-spline surface is reconstructed.

generalized hypergeometric functions for matlab (generalized hypergeometric functions for matlab)