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cdhmm
用matlab实现的一个连续概率分布的HMM程序，可以结合《MATLAB扩展编程》一书中关于HMM的介绍(Using matlab to achieve a continuous probability distribution of the HMM program, you can combine MATLAB programming expansion, a book on the introduction of the HMM)
- 2007-11-07 20:20:40下载
- 积分：1
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Signal_system_Experiment
信号与系统实验源代码
包括：实验一 周期信号的谐波逼近，幅频相频分析；实验二 simulink信号的抽样和内插； 实验三 GUIDE二阶状态轨迹的显示；实验四 Wav信号的波形分析及频谱分析(Signals and systems including source code of the experiment: The experiment of a periodic signal of the harmonic approximation, the amplitude-frequency phase-frequency analysis experiment II simulink signal sampling and interpolation experimental GUIDE second-order three-state trajectory display experiment four Wav signal waveform analysis and spectral analysis)
- 2009-07-11 23:58:46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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DDC
DDC 利用cIC和半带滤波器 抽取实现下变频
- 2013-12-24 18:44:32下载
- 积分：1
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cgtrust
conjugate gradient algorithm for multivariable functions
- 2009-05-27 18:16:23下载
- 积分：1
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ARMA11
Implementation of ARMA Proess of sample data.
- 2011-07-19 22:07:01下载
- 积分：1
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JDSRGJ
此程序是基于按极大似然估计的系统辨识程序，是在MATLAB环境下编写的(This procedure is based on maximum likelihood estimation system identification program is written in MATLAB)
- 2016-07-03 17:21:09下载
- 积分：1
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manifolds
流形学习是近年来机器学习及模式识别等领域的一个研究热点，其主要目标是去发现高维观察数据空间的低维光滑流形。自从2000年Roweis和Saul提出LLE算法、Tenenbaum等人提出Isomap算法，特别是Donoho等人发现Isomap算法能够准确发现人脸图像流形潜在的参数空间、张长水等人将LLE算法用于人脸识别并取得了较好的识别效果之后，基于流形学习的人脸识别研究引起了人们的广泛关注。(Manifold learning in recent years the field of machine learning and pattern recognition as a research focus, its main goal is to find high-dimensional data space observation of low-dimensional smooth manifold. Since 2000 LLE algorithm proposed by Roweis and Saul, Tenenbaum and others proposed Isomap algorithm, especially Donoho, who found that Isomap algorithm can find the potential face images of the parameter space manifold, and Chang-water will LLE algorithm for face recognition and to obtain a good recognition results, the manifold learning-based face recognition research has aroused extensive attention.)
- 2010-08-02 18:31:52下载
- 积分：1
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CHAP7
digital communication answers chapter 7
- 2009-04-25 14:42:22下载
- 积分：1
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floyd
floyd算法，能实现有关floyd各项功能(calculate floyd)
- 2012-05-24 11:51:08下载
- 积分：1
