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TURBOC 文本处理常规库
TURBOC 文本处理常规库(TURBOC2.0 conventional text-processing library)
- 2005-02-17 16:40:27下载
- 积分：1
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MultiObjectSearch
多个目标提取，原始帧和背景帧相减，提取目标(Multiple target detection, the original frame and background frame subtraction, extraction of target)
- 2010-10-06 15:04:57下载
- 积分：1
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dp33
Frame Difference in image processing
- 2009-12-01 11:34:01下载
- 积分：1
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speech_toolboxes
说明： Matlab语音处理工具箱《Matlab之语音处理与合成工具箱》(Speech Processing Toolbox Matlab " Matlab toolbox for speech processing and synthesis," )
- 2010-04-18 20:51:38下载
- 积分：1
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ask
用MATLAB让ASK信号产生~~~~~~~~~~~~~~~~~~~~~~~~(ASK signal using MATLAB to generate ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~)
- 2012-07-01 12:59:05下载
- 积分：1
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guji
matlab在金融计算中极大似然估计的应用教程和实例书籍(Maximum likelihood estimation matlab financial calculations application tutorials and examples of books)
- 2013-02-13 17:59:27下载
- 积分：1
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PPC-RAGA
这是一个关于投影寻踪模型与加速遗传算法的结合的源程序，不需要工具箱，自己的编译的程序，简单易懂1(This is a projection pursuit model and accelerate the combination of genetic algorithm source code, no kit, build your own program, easy to understand a)
- 2021-04-06 11:09:02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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chapter4
精通MATLAB数字图像处理与识别 chapter4 代码(Proficient in MATLAB digital image processing and recognition chapter4 code)
- 2013-12-05 20:45:16下载
- 积分：1
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fuhecailiao-cengheban
复合材料层合板极限应力计算(matlab)
这是我课后作业(Composite Laminates ultimate stress calculation matlab)
- 2014-04-11 17:16:01下载
- 积分：1
