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levelset
Level Set Evolution Without Re-initialization一文的matlab实现(Level Set Evolution Without Re-initialization of the matlab realize one text)
- 2007-10-20 09:53:47下载
- 积分:1
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program
内部资料,很经典的MIMO和OFDM的课本程序,以供大家参考(it is important MIMO-OFDM program)
- 2009-07-16 20:56:48下载
- 积分:1
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POWER_C
静态电压稳定临界点的使用求解方法,基于主导节点法的分岔类型检验法(Static voltage stability critical point of use solving method, based on the dominant node bifurcation type-test method)
- 2016-04-02 13:54:54下载
- 积分:1
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LMSTDE
最小均方误差自适应时延估计 原理 应用 改进
有很大的应用价值(LMSTDE Adaptive delay estimation theory applied to improve the application of great value)
- 2011-10-21 09:52:00下载
- 积分:1
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Q3_1
hello mr admin
please active my account
- 2013-11-29 15:01:03下载
- 积分:1
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Envelope
信号包络提取代码。可以方便地获取信号包络曲线。应用效果较好!(envelope matlab code)
- 2013-05-07 11:21:52下载
- 积分:1
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Minimum-Risk-Bayes-classifier
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 )
- 2012-02-02 20:37:04下载
- 积分:1
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solar3PI
采用PR控制策略的光伏发电并网的simulink仿真图(Simulink simulation of grid connected photovoltaic generation using PR control strategy)
- 2018-06-05 15:48:17下载
- 积分:1
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ais
人工免疫网络,实现分类,聚类,函数寻优等功能,采用matlab编写.(artificial immune network, classification, clustering, search function Excellence function, prepared using Matlab.)
- 2005-06-13 12:35:57下载
- 积分:1
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pid_dmc2
动态矩阵控制算法与PID算法结合,有很强的理论性,是毕业设计的好程序(Dynamic Matrix Control algorithm combined with the PID algorithm, is very theoretical, is a graduate design program)
- 2020-09-06 14:08:08下载
- 积分:1