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math.NA2025
LDMD with Temporally Adaptive Segmentation
Qiuqi Li, Chang Liu, Yifei Yang
Dynamic mode decomposition (DMD) is a widely used data-driven algorithm for predicting the future states of dynamical systems. However, its standard formulation often struggles wit…
math.NA2025
A Novel Adaptive Low-Rank Matrix Approximation Method for Image Compression and Reconstruction
Weiwei Xu, Weijie Shen, Chang Liu +1
Low-rank matrix approximation plays an important role in various applications such as image processing, signal processing and data analysis. The existing methods require a guess of…
math.NA2025★ 2 cited
Localized Dynamic Mode Decomposition with Temporally Adaptive Segmentation
Qiuqi Li, Chang Liu, Yifei Yang
Dynamic mode decomposition (DMD) is a widely used data-driven algorithm for predicting the future states of dynamical systems. However, its standard formulation often struggles wit…