Speed_Flux_close_control_VC

详细介绍了隐马尔科夫链的原理和matlab代码实现，可以运行其中的demo了解hmm的工作原理(Detailed information on hidden Markov chain theory and the matlab code, you can run the demo to understand the working principle hmm)

峭度相关最大化解卷积（MCKD），可以用来设计滤波器，提取噪声背景下的冲击成分(maximum related Kurtosis deconvolution (MCKD), can be used to design a filter to extract the impact of background noise component)

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 )

在网上找到的一个模式识别工具箱，希望对大家有用(online to find a pattern recognition toolbox, we hope to useful)

LibSVM工具箱，在matlab环境下实现，完整的与VC接口！更多访问个人主页：http://huangbo929.blog.edu.cn(LibSVM toolbox in Matlab environment achieved, and the integrity of the VC interface! More personal visit Home : http://huangbo929.blog.edu.cn)

心电信号R波检测的函数，包括降采样，滤波，希尔伯特包络提取三个预处理步骤。其中R波根据阈值检测，相对不应期要根据具体信号适当调整.(ECG R-wave detection functions, including down-sampling , filtering, Hilbert envelope extracted three pretreatment steps. Wherein R wave detection based on a threshold , the relative refractory period should be adjusted according to the specific signal . )

说明：  低循环疲劳试验数据的异方差回归处理。可以获得材料的疲劳参数(Low cycle fatigue test data, heteroscedastic regression treatment. Material fatigue parameters can be obtained)

根据滚动轴承的内圈，外圈，滚动体，正常四方面做故障诊断预处理(According to the fault of rolling bearing inner ring, outer ring, rolling body, the normal four fault diagnosis pretreatment)

用matlab 7.0 编的 主成分分析程序（GUI）(principal component analysis program （matlab7.0 GUI）)

LMS identification volterra order 2,degree 3