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DenoisingMed
给出了用中值滤波器去噪的matlab程序(give a denoise program on matlab by median filter )
- 2009-05-08 20:43:54下载
- 积分:1
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QAM128_mod1
说明: 128QAM调制仿真的星座图。matlab源文件。(Simulation 128QAM modulation constellation diagram. matlab source file.)
- 2008-10-27 18:26:16下载
- 积分:1
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congshuang
MATLAB工具箱的神经网络理论与应用程序源代码 丛爽编,国科学技术大学出版社(Toolbox for MATLAB neural network theory and application source code is compiled Cong Shuang, State University of Science and Technology Press)
- 2013-11-24 23:01:16下载
- 积分:1
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BNB20
branch-and-bound-tree algotihm for optimization
- 2009-05-28 01:21:01下载
- 积分:1
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Fisher
fisher 图片处理报告,程序搜索Fisher program(fisher image processing reports, program searches Fisher program)
- 2013-07-14 14:14:40下载
- 积分:1
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lin
电力系统无功对网损的灵敏度,包含雅可比矩阵,各种函数公式(the power system)
- 2012-11-15 16:54:47下载
- 积分:1
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source_code_yc0vgk
成功实现计算OVYnqF算法的程序,本人测试已经通过,性能已基本达到OVYnqF算法的性能,需要MATLAB 2009b环境运行,如有问题,欢迎讨论
(The successful implementation of the program to calculate OVYnqF algorithm, I have passed the test, need MATLAB2009b operating environment, any questions, please contact me
)
- 2015-12-09 16:54:04下载
- 积分:1
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ICApingjia
ICA算法评价指标的计算程序SAR SIR SNR(ICA SAR SIR SNR)
- 2012-03-24 09:28:34下载
- 积分:1
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a-er-fa-li-zi
势阱中的波函数,matlab程序,彭芳鳞教材(The wave function in the potential well)
- 2012-06-01 14:04:58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