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pack_emd
经验模态分解(EMD)的Matlab程序包(Empirical Mode Decomposition (EMD) of the Matlab package)
- 2008-07-11 17:52:43下载
- 积分：1
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New-folder
awk scripts for leach
- 2015-04-03 20:51:15下载
- 积分：1
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bpsk
一个关于多相位调制的matlab仿真程序，非常好用，是做毕业设计时完成的。(A multi-phase modulation on the matlab simulation program is very easy to use, is doing graduate design completed.)
- 2009-10-19 19:51:20下载
- 积分：1
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1CSin_OMP
利用压缩传感技术对1-D信号进行处理，1-D信号压缩传感的实现(Compressed sensing technology using 1-D ,1-D signal processing implementation of compressed sensing signal)
- 2011-01-10 10:49:17下载
- 积分：1
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Carroponte-appoggiato
Function to simulate a crane and its load and strain
- 2012-08-14 05:49:18下载
- 积分：1
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6829Car-mode
word文档，关于模糊逻辑控制汽车运动模型，欢迎大家下载(word document on fuzzy logic control motor sport model, welcome to download)
- 2013-05-25 01:34:30下载
- 积分：1
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line--path-of-vessel-follow-
船舶路径跟纵，只限跟踪，contro微控制器，vlm为船模型(line path following)
- 2021-03-08 09:49:29下载
- 积分：1
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LS-SVM-toolkit
支持向量机的最小二乘法LS-SVM工具包(The method of least squares support vector machine LS-SVM Kit)
- 2016-11-25 18:07:42下载
- 积分：1
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classic_spectral_estimation
数字信号处理实验，噪声中正弦信号的经典发频谱分析(Digital signal processing experiments, classic sinusoidal signal noise spectrum analysis hair)
- 2014-12-17 09:25:54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
