文件名称:GMM-Code
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A two-stage mechanism of ECG classification using Gaussian
mixture model(An automatic classifier for electrocardiogram (ECG) based cardiac abnormality detection using Gaussian mixture model (GMM) is presented here. In first stage, preprocessing that includes re-sampling, QRS detection, linear prediction (LP) model estimation, residual error signal computation and principal component analysis (PCA) has been used for registration of linearly independent ECG features.)
mixture model(An automatic classifier for electrocardiogram (ECG) based cardiac abnormality detection using Gaussian mixture model (GMM) is presented here. In first stage, preprocessing that includes re-sampling, QRS detection, linear prediction (LP) model estimation, residual error signal computation and principal component analysis (PCA) has been used for registration of linearly independent ECG features.)
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下载文件列表
GMM-Code\Chernoff.m
GMM-Code\GMM\Cluster_Covaiance.m
GMM-Code\GMM\Cluster_Covariance.m
GMM-Code\GMM\Cluster_Probability.m
GMM-Code\GMM\Compute_Mean_for_Cluster.m
GMM-Code\GMM\GMM.m
GMM-Code\GMM\Mixing_Coefficient.m
GMM-Code\GMM\Probability_of_Cluster_given_X.m
GMM-Code\GMM\Probability_of_X.m
GMM-Code\main1.m
GMM-Code\main2.m
GMM-Code\Other functions\Bhattacharyya.m
GMM-Code\Other functions\fuzzy_k_means.m
GMM-Code\Other functions\k_means.m
GMM-Code\Other functions\PNN.m
GMM-Code\pca_feature_reduction.m
GMM-Code\total.xlsx
GMM-Code\GMM
GMM-Code\Other functions
GMM-Code
GMM-Code\GMM\Cluster_Covaiance.m
GMM-Code\GMM\Cluster_Covariance.m
GMM-Code\GMM\Cluster_Probability.m
GMM-Code\GMM\Compute_Mean_for_Cluster.m
GMM-Code\GMM\GMM.m
GMM-Code\GMM\Mixing_Coefficient.m
GMM-Code\GMM\Probability_of_Cluster_given_X.m
GMM-Code\GMM\Probability_of_X.m
GMM-Code\main1.m
GMM-Code\main2.m
GMM-Code\Other functions\Bhattacharyya.m
GMM-Code\Other functions\fuzzy_k_means.m
GMM-Code\Other functions\k_means.m
GMM-Code\Other functions\PNN.m
GMM-Code\pca_feature_reduction.m
GMM-Code\total.xlsx
GMM-Code\GMM
GMM-Code\Other functions
GMM-Code