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New_matlab2
MATLAB初学者
MATLAB初学者
包好了一些用matlab做无约束规划的源程序(MATLAB beginner beginner package MATLAB with matlab to do some good non-constrained programming source code)
- 2009-12-15 17:48:46下载
- 积分:1
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ABCD2PI
This function obtains the pi model of a transmission line
the ABCD constants of the line.
- 2014-10-07 14:32:17下载
- 积分:1
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MVDR_QRDLS
波束形成Matlab程序,通过matlab程序,了解波束成形的算法过程,以及其含义(Beamforming Matlab program by matlab program to understand the process of beamforming algorithm, and its meaning)
- 2014-11-24 10:46:57下载
- 积分:1
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jengou_v24
光纤无线通信系统中传输性能的研究,用于图像处理的独立分量分析,感应双馈发电机系统的仿真。( Fiber Transmission wireless communication system performance, Independent component analysis for image processing, Simulation of doubly fed induction generator system.)
- 2016-06-12 13:08:36下载
- 积分:1
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23
说明: MATLAB 粒子群单目标优化程序,简单易懂!(Particle swarm optimization of single objective optimization program, easy to understand!
)
- 2014-12-09 10:58:42下载
- 积分:1
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classmusic
说明: 经典的music算法,用matlab实现(music in matlab)
- 2010-04-11 10:44:41下载
- 积分:1
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effect-MIMO_Rayleigh_fading_Capacity
关于MIMO OFDM不同发射和接收的天线数目下的系统容量的仿真(Firing as for MIMO the OFDM dissimilarity and under the recipient number of aerials of the imitating of system capacity is really)
- 2011-05-12 20:49:23下载
- 积分:1
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CAyunsuyunjiasu
卡尔曼滤波中CA模型下匀速运动与匀加速运动matlab仿真(Uniform motion and uniformly accelerated motion in the CA model in the Kalman filter matlab simulation)
- 2012-07-29 09:24:13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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a.mdl
有源滤波器控制的一个example,供大家参考学习(Active filter control of a example, for your reference learning)
- 2010-12-01 11:04:12下载
- 积分:1