Optimized Dynamic Mode Decomposition via Non-Convex Regularization and Multiscale Permutation Entropy

Optimized Dynamic Mode Decomposition via Non-Convex Regularization and Multiscale Permutation Entropy

Dynamic mode decomposition (DMD) is essentially a hybrid algorithm based on mode decomposition and singular value decomposition, and it inevitably inherits the drawbacks of these two algorithms, including the selection strategy of truncated rank order and wanted mode components. A novel denoising an...

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Bibliographic Details
Main Authors:	Zhang Dang, Yong Lv, Yourong Li, Cancan Yi
Format:	Article
Language:	English
Published:	MDPI AG 2018-02-01
Series:	Entropy
Subjects:	dynamic mode decomposition sparse optimization non-convex regularization multiscale permutation entropy feature extraction
Online Access:	http://www.mdpi.com/1099-4300/20/3/152

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