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matlab_classic.part1
一些关于Matlab的基本应用程序,很全面,很方便。(Some information about the basic Matlab applications, very comprehensive, very convenient.)
- 2009-10-09 12:13:14下载
- 积分:1
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CepSpec
最小方差估计 可以依据最小方差估计 来计算某些参量(minimum variance esitimate)
- 2010-09-23 08:43:48下载
- 积分:1
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LEXICAL_Ranjith
lexical analyser using c program
- 2011-01-02 22:07:08下载
- 积分:1
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DCSeries_MotorWM
DC SERIES MOTOR CONTROL
- 2012-08-01 22:37:41下载
- 积分:1
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Convex-Optimization-in-SP-and-Comm
Daniel P. Palomar 2010的新作,凸优化在信号处理及通信中的应用。对于研究领域为通信理论及信号处理的学生而言,我强力推荐本书。(Daniel P. Palomar s new book published in 2010, 《convex optimization in signal processing and communications》. For the students in the areas of communication theory and signal processing, I strongly recommend this book.)
- 2014-10-25 14:59:06下载
- 积分:1
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aster-document
经典的关于aster数据处理的文档。ASTER搭载在Terra卫星上的星载热量散发和反辐射仪,是于1999年12月18日发射升空的,由日本国际贸易和工业部制造。(Classic on the aster data processing documents. ASTER carrying the Terra satellite on-board heat distribution and anti-radiation device, was December 18, 1999 launched by the Japanese International Trade and Industry Manufacturing.)
- 2009-11-12 02:18:42下载
- 积分:1
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FCM
基于matlab iris数据集的FCM(模糊C)聚类,适于matlab和聚类分析的入门学习。(failed to translate)
- 2013-05-08 09:20:26下载
- 积分:1
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Minimum-Risk-Bayes-classifier
这是模式识别中最小风险Bayes分类器的设计方案。在参考例程的情况下,自行完善了在一定先验概率的条件下,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。
调用最小风险贝叶斯分类器决策子函数时,根据先验概率,再根据自行给出的5*5的决策表,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,放入决策数组中。
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”,调用最小风险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,就可以得到在一定先验概率条件下,决策表中不同决策的错误率的统计。
(This is a pattern recognition classifier minimum risk Bayes design .In reference to the case of routine , self- improvement in a certain a priori probability 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 The third step is the 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 .
Bayesian classifier )
- 2012-02-02 20:37:04下载
- 积分:1
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MATLAB-Language-Reference-Manual
This book is to mention and Describe most important and applicable codes,Operators, Elementary Math Functions and Special Characters in MATLAB that can use in script writing in this software.
- 2016-02-23 02:14:17下载
- 积分:1
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SignalProcess_origin
信号处理的方法,包括了轴承特征频率计算,包络分析,fft分析,希伯特变换,信噪比计算等。(The signal processing methods include bearing characteristic frequency calculation, envelope analysis, FFT analysis, Hibbert transform, SNR calculation and so on.)
- 2018-07-21 10:16:58下载
- 积分:1