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Toplam kayıt 3, listelenen: 1-3
Hilbert-Huang Transform Based Hierarchical Clustering For Eeg Denoising
(IEEE, 2013)
Empirical mode decomposition (EMD) is a recently introduced decomposition method for non-stationary time series. The sum of the decomposed intrinsic mode functions (IMF) can be used to reconstruct the original signal. ...
Detrended Fluctuation Analysis For Empirical Mode Decomposition Based Denoising
(IEEE, 2014)
Empirical mode decomposition (EMD) is a recently proposed method to analyze non-linear and non-stationary time series by decomposing them into intrinsic mode functions (IMFs). One of the most popular application of such a ...
Breast Cancer Classification by Using Support Vector Machines with Reduced Dimension
(Croatian Society Electronics Marine, 2011)
Correct and timely diagnosis of diseases is an essential matter in medical field. Limited human capability and limitations decrease the rate of correct diagnosis. Machine learning algorithms such as support vector machine ...