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2ASK
通信里的2ASK信号的产生及分析,很不错,经典实用(Communication in the 2ASK signal generation and analysis, very good, classic and practical)
- 2013-07-24 09:09:29下载
- 积分:1
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SA
说明: 利用MATLAB实现模拟退火算法计算商旅问题(Use MATLAB to achieve simulated annealing algorithm Business Problems)
- 2014-11-01 13:31:38下载
- 积分:1
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SAR-imaging-matlab.rar
SAR成像经典MATLAB仿真程序,三种不同的算法,学习雷达成像的学生可以考虑下载(sar imaging by cs)
- 2012-09-14 00:23:11下载
- 积分:1
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coocurrence
纹理特征提取的matlab源代码,用灰度共生矩阵做的,最终得到一个8维的纹理特征向量。(Texture feature extraction matlab source code, the GLCM do eventually get an 8-dimensional texture feature vector.)
- 2013-04-17 22:24:17下载
- 积分:1
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main.c
迭代小程序,可以根据参数变化导出倍周期分叉图,从而研究有序与混沌的关系。(Iterative small program that can export period doubling bifurcation diagram according to the parameter changes, which studies the relationship between order and chaos.)
- 2015-11-02 08:34:34下载
- 积分:1
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99999
离散对称信道的信道容量的计算离散对称信道的信道容量的计算(Discrete symmetric channel is the channel capacity of computing discrete symmetric channel calculation of channel capacity)
- 2020-11-17 09:39:39下载
- 积分:1
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LAB1_part1
Matlab Image toolbox example
- 2015-04-10 00:17:16下载
- 积分:1
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FDP
三维各向异性有限差分地震波模拟程序,用matlab编写(The three-dimensional anisotropic finite-difference seismic wave simulation program using matlab)
- 2012-09-21 11:14:34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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apso33
说明: apso求解电力系统经济调度问题,可以得到每个机组的出力,并且含有多个约束条件(APSO can solve the economic dispatch problem of power system and get the output of each unit, which contains many constraints)
- 2020-04-05 11:29:43下载
- 积分:1