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Read-RINeX(Matlab)
用matlab语言读取Renix格式文件的程序代码(Read Renix format file with the matlab language code)
- 2014-09-07 11:40:34下载
- 积分:1
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Correlation-Analysis
基于LabView2011的自相关分析和互相关分析,测试两个信号的互相关函数和自相关函数。(Based on the autocorrelation and cross-correlation analysis LabView2011 analysis, test cross-correlation function of two signals and autocorrelation function.)
- 2013-11-30 22:46:27下载
- 积分:1
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tz
说明: 这个程序是EMD进行后对IMF的各个能量进行计算得出每个分量的能量分布,这个种方法也是一种常见方法,其中还包括这特征提取后的绘制可视程序。(This procedure is carried out after the IMF EMD various energies calculated energy distribution of each component, this method is also a common method.)
- 2013-09-20 17:13:59下载
- 积分:1
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1
MATLAB实现中值滤波源代码,此文件为MATLAB做图像中值滤波的源代码,并且计算均方误差,归一化均方误差以及峰值信噪比(MATLAB median filter source code, the source code of this file for MATLAB image median filtering, and calculate the mean square error, normalized mean square error and peak signal-to-noise ratio)
- 2013-05-17 01:57:48下载
- 积分:1
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matlabyoulike
说明: matlab 图像处理程序例子 供初学者参考(matlab image processing procedure example of reference for beginners)
- 2010-04-16 10:44:47下载
- 积分:1
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S-Function_example
matlab中s-function的使用方法(s-function in matlab)
- 2014-08-06 18:43:56下载
- 积分:1
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labexp
lab experiments of wireless communication laboratory
- 2012-04-08 18:19:47下载
- 积分:1
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gatbx
英国设菲尔德大学遗传算法工具箱。用matlab导入路径即可使用。(University of Sheffield genetic algorithm toolbox. Using matlab import path can be used.)
- 2013-07-14 12:47:19下载
- 积分:1
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three_program
三种信道 瑞利 赖斯 高斯的误码率仿真,通过MATLAB实现(The three channel Ruililaisi Gaussian error rate simulation)
- 2013-01-29 11:24:53下载
- 积分:1
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Minimum-Bayes-classifier-error-rate
这是模式识别中最小错误率Bayes分类器设计方案。
自行完善了在不同先验概率的条件下,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。
调用最小错误率贝叶斯分类器决策子函数时,根据先验概率数组,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。
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”,调用最小错误率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,就可以得到不同先验概率条件下错误率的统计。
(This is the minimum error rate pattern recognition Bayes classifier design.
Self- improvement prior probability in different 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 third step is to 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 .
Call the minimum error rate decision Functions Bayesian)
- 2012-02-02 20:33:06下载
- 积分:1