4 papers
gmsEDA: Decomposition of Electrodermal Activity Signals Using Matrix Separation
Xuemei Chen, David MacQueen, Wendy Donlin Washington +4
Electrodermal activity (EDA) signals, which reflect sympathetic nervous system arousal through changes in skin conductance, are widely used in psychological and behavioral research…
The Generalized Matrix Separation Problem: Algorithms
Xuemei Chen, Owen Deen
When given a generalized matrix separation problem, which aims to recover a low rank matrix and a sparse matrix from , the work \cite{CW25} proposes a nov…
The Masked Matrix Separation Problem: A First Analysis
Xuemei Chen, Rongrong Wang
Given a known matrix that is the sum of a low rank matrix and a masked sparse matrix, we wish to recover both the low rank component and the sparse component. The sparse matrix is…
Sparse Recovery for Overcomplete Frames: Sensing Matrices and Recovery Guarantees
Xuemei Chen, Christian Kümmerle, Rongrong Wang
Signal models formed as linear combinations of few atoms from an over-complete dictionary or few frame vectors from a redundant frame have become central to many applications in hi…