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Matrix
用c编写的矩阵分解程序，对于不用
matlab的人来说，还是有一定用处(Prepared by c matrix factorization procedures, for people who do not have matlab, or there is some use)
- 2008-03-20 13:53:05下载
- 积分：1
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ridgereg
岭回归函数，基于SVD分解的岭回归函数，已经证明了是非的有用和强大( center input and output, so we can estimate w0 separately
since we don t want to shrink w0
)
- 2013-11-24 14:35:35下载
- 积分：1
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st
说明： Stockwell Transform
Reference is Localization of the Complex Spectrum: The S Transform
IEEE Transactions on Signal Processing, vol. 44., number 4, April 1996, pages 998-1001.
- 2014-10-23 18:14:51下载
- 积分：1
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EVMDM6437_TechRef
Technical reference for DM6437 EVM Texas Ins
- 2015-01-18 11:15:26下载
- 积分：1
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FInalDMC
DMC Algorythm in SIMULINK
- 2012-03-24 05:35:47下载
- 积分：1
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DSBF
通过固定波束形成算法进行语音增强的一个仿真程序，这个算法是麦克风阵列语音增强里最基本的，值得研究。(Formed by a fixed beam speech enhancement algorithm, a simulation program, this algorithm is the microphone array speech enhancement in the most basic, is worth studying.)
- 2014-10-28 15:44:07下载
- 积分：1
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Spectral-Clustering
matlab-Spectral Clustering
- 2015-01-07 11:37:25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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MIMO
这是matlab关于 mimo通信仿真代码(matlab mimo simulator)
- 2010-05-31 11:07:40下载
- 积分：1
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shiliangkongzhi_PMSM
在Matlab/Simulink环境下实现永磁同步电机的矢量控制仿真。(To simulate the vector control of PMSM in the aid of Simulink)
- 2013-05-13 10:18:48下载
- 积分：1
