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rifeam_rife
此程序为matlab程序，用于频率估计。程序包含了rife算法和M-rife算法，并对两种算法进行了比较分析。(This program is a matlab program, used for frequency estimation. The program contains the the rife algorithm and the M-the rife algorithm, and the two algorithms were compared and analyzed.)
- 2021-03-28 18:29:11下载
- 积分：1
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WinPainter21
windows图像编程处理类库，用于实现各种图像处理功能(programming windows image processing library, used to achieve a variety of image processing functions)
- 2007-11-27 11:08:06下载
- 积分：1
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buling
是给一个有限长序列补零（可以在前面或后面补零），用Matlab画图比较原序列，前补零序列以及后补零序列(very good)
- 2009-04-29 21:31:29下载
- 积分：1
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nljc4
线性调频信号的功率，采用MATLAB的强大的自制函数(Linear FM signal power, using MATLAB' s powerful home-made function)
- 2009-09-23 10:48:39下载
- 积分：1
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capacitor_clamped
this program is hep full o analyse the multilevel inverter
- 2010-08-20 20:49:43下载
- 积分：1
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bin_state
关于turbo码状态转移的matlab仿真程序，详细描述的状态之间的转移关系(Turbo codes on the state transition of the matlab simulation program, a detailed description of the transfer of the state of the relationship between the)
- 2009-11-24 18:45:44下载
- 积分：1
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math1
组合数学和图论中的概率方法
组合数学和图论中的概率方法.pdf(Combinatorics and graph theory probabilistic methods)
- 2013-12-26 12:26:28下载
- 积分：1
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16.LCMV波束形成算法MATLAB程序
16.LCMV波束形成算法MATLAB程序(matlab code for LCMV beamforming algorithm)
- 2018-04-27 20:55:17下载
- 积分：1
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utitled-(2)
this is a blasius solution by matlab code
- 2012-12-31 23:08:50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
