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denoise
在matlab环境下，试用小波变换消除数据中的噪声信号(In the matlab environment, the trial data in the wavelet transform to eliminate the noise signal)
- 2011-05-26 16:20:23下载
- 积分：1
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turtle
matlab海龟交易的策略的代码，比较有参考价值(matlab turtul，it s a good code)
- 2012-06-03 18:13:35下载
- 积分：1
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GPSR_5.0
关于稀疏表示的遥感图像融合——matlab代码(sparse representation )
- 2020-12-21 19:29:07下载
- 积分：1
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SMI
基于采样矩阵求逆算法的自适应数字波束形成器程序(Sample matrix inversion algorithm based on adaptive digital beamformer program)
- 2011-06-30 16:41:12下载
- 积分：1
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motorcycle_model
MATLAB Simulation文件，摩托车仿真，具体操作步骤见说明文档(MATLAB Simulation file, motorcycle simulation, specific steps see documentation)
- 2013-08-15 17:20:21下载
- 积分：1
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chapter8
基于量子遗传算法的matlab程序，可以在matlab上顺利运行(Based on quantum genetic algorithm matlab program can run smoothly in matlab)
- 2013-09-21 21:22:31下载
- 积分：1
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tailieu
说明： tài liệ u hay...............................
- 2011-03-14 10:54:09下载
- 积分：1
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MATLABdianzijiaoan
matlab电子教案，适合于初学者，包括操作基础，绘图(Matlab electronic lesson plans, suitable for beginners, including operating basis, mapping, etc.)
- 2007-01-20 10:10:09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
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Matlab
matlab函数的基本使用方法介绍，以便更好的学习matlab。(asic use matlab function introduced in order to better learning matlab.)
- 2015-04-22 15:34:43下载
- 积分：1
