sudhakar

MATLAB 经典算法的程序，超大容量，绝对超值。用c or c plus plus 编写。(MATLAB classical algorithm procedures, large capacity, the absolute value.)

4*4MIMO系统V-blast系统，内含调制解调程序，接受算法包括ZF，MMSE，ML(4* 4MIMO system V-blast system, including modulation and demodulation process, acceptance algorithm includes ZF, MMSE, ML)

这是模式识别中最小风险Bayes分类器的设计方案。在参考例程的情况下，自行完善了在一定先验概率的条件下，男、女错误率和总错误率的统计，放入各个数组当中。 全部程序由主函数、最大似然估计求取概率密度子函数、最小错误率贝叶斯分类器决策子函数三块组成。 调用最大似然估计求取概率密度子函数时，第一步获取样本数据，存储为矩阵；第二步对矩阵的每一行求和，并除以样本总数N，得到平均值向量；第三步是应用公式（3-43）采用矩阵运算和循环控制语句，求得协方差矩阵；第四步通过协方差矩阵求得方差和相关系数，从而得到概率密度函数。 调用最小风险贝叶斯分类器决策子函数时，根据先验概率，再根据自行给出的5*5的决策表，通过比较概率大小判断一个体重身高二维向量代表的人是男是女，放入决策数组中。 主函数第一步打开“MAIL.TXT”和“FEMALE.TXT”文件，并调用最大似然估计求取概率密度子函数，对分类器进行训练。第二步打开“test2.txt”，调用最小风险贝叶斯分类器决策子函数，然后再将数组中逐一与已知性别的数据比较，就可以得到在一定先验概率条件下，决策表中不同决策的错误率的统计。 (This is a pattern recognition classifier minimum risk Bayes design .In reference to the case of routine , self- improvement in a certain a priori probability conditions, male , female and total error rate error rate statistics , into which each array . All programs from the main function , maximum likelihood estimation subroutine strike probability density , the minimum error rate Bayesian classifier composed of decision-making three subfunctions . Strike called maximum likelihood estimate probability density subroutine , the first step to obtain the sample data , stored as a matrix the second step of the matrix, each row sum , and divided by the total number of samples N, be the average vector The third step is the application of the formula ( 3-43 ) using matrix and loop control statements , obtain the covariance matrix fourth step through the variance-covariance matrix and correlation coefficient obtained , resulting in the probability density function . Bayesian classifier )

Matlab平台下用SuSan算法检测眼睛角点(Matlab platform with SuSan algorithm to detect the eye corner)

惯性导航仿真，matlab，很好的仿真程序。(inertial simulation in Matlab)

实现彩色图象的读取,以及回度图象的读取,及相关的变换(Achieve color image reading, and reading back of the picture, and the associated transformation)

说明：  该程序通过模仿生物的遗传特点，解决全局最优解的问题(The program solves the problem of global optimal solution by imitating the genetic characteristics of organisms)

adboost分类器 matlab源程序 用于训练样本 实现分类 (adboost classfication)

遗传算法在工程优化计算上的应用的MATLAB程序。(genetic algorithm optimization calculation of the MATLAB program.)

matlab 初学者所需要的gui学习工具，帮助你从VC++快速入门matlab gui(a example for matlab gui,for a learner)