-
DWT-Watermark
discrete wavelet transform for image watermarking
- 2010-10-10 18:43:45下载
- 积分：1
-
program
我写的一个小程序。用MATLAB自动生成任意维数和任意数量的数据，并且根据这些数据用一定的方法统计出这些点的概率密度。(I wrote a small program. MATLAB automatically generated using an arbitrary dimension and arbitrary amount of data, and based on these data in a certain way to the statistics of the probability density of these points.)
- 2010-01-06 15:19:02下载
- 积分：1
-
edge_fit
采用最新的canny算子实现了边界拟合程序给定图形后可以直接使用(use of the latest canny operator realization of the border fitting procedures to be determined after the graphics used directly)
- 2007-07-06 17:54:43下载
- 积分：1
-
fuzzypid
模糊pid控制方面的资料，希望对大家有帮助(Fuzzy pid control information, and they hope to have everyone help)
- 2008-05-22 15:13:47下载
- 积分：1
-
CRCencode
在基于matlab移动通信仿真中要使用到，作为信源使用，这个是信源码的编码的程序。(Matlab-based simulation of mobile communication should be used as a source to use, this is the letter of the procedure source code.)
- 2008-03-20 18:25:21下载
- 积分：1
-
PMSMtables
PMSM table for driver for PMSM motor
- 2015-04-10 01:22:12下载
- 积分：1
-
jangtun
Matlab实现界面友好，光纤陀螺输出误差的allan方差分析，小波包分析提取振动信号中的特征频率。( Matlab to achieve user-friendly, allan FOG output error variance analysis, Wavelet packet analysis to extract vibration signal characteristic frequency.)
- 2016-09-09 12:39:48下载
- 积分：1
-
RobustAdaptiveControl2
robus adptive control system example2 simulator in matlab simulink
- 2010-11-19 11:59:29下载
- 积分：1
-
mgrscho
修正 Gram-Schmidt 正交 ，从别处找到的。(Gram-Schmidt orthogonal correction)
- 2011-09-28 13:45:36下载
- 积分：1
-
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
