The effect of dictionary learning on weight update of AdaBoost and ECG classification

A signal can be represented by sparse representation with fewer coefficients. Due to this ability, sparse representation is used in research fields such as signal compression, noise elimination, and classification. In this study, sparse coefficients of the signals were obtained by using dictionary l...

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Bibliographic Details
Main Authors: Mücahid Barstuğan, Rahime Ceylan
Format: Article
Language:English
Published: Elsevier 2020-12-01
Series:Journal of King Saud University: Computer and Information Sciences
Subjects:
ECG
Online Access:http://www.sciencedirect.com/science/article/pii/S1319157818307419