TY - UNPB
T1 - Simultaneous Optimized Orthogonal Matching Pursuit with Application to ECG Compression
AU - Rebollo-Neira, Laura
PY - 2025/3/21
Y1 - 2025/3/21
N2 - A greedy pursuit strategy which finds a common basis for approximating a set of similar signals is proposed. The strategy extends the Optimized Orthogonal Matching Pursuit approach to selecting the subspace containing the approximation of all the signals in the set. The method, called Simultaneous Optimized Orthogonal Matching Pursuit, is stepwise optimal in the sense of minimizing at each iteration the mean square error norm of the signals in the set. When applied to compression of electrocardiograms, significant gains over other transformation based compression techniques are demonstrated on the MIT-BIH Arrhythmia dataset.
AB - A greedy pursuit strategy which finds a common basis for approximating a set of similar signals is proposed. The strategy extends the Optimized Orthogonal Matching Pursuit approach to selecting the subspace containing the approximation of all the signals in the set. The method, called Simultaneous Optimized Orthogonal Matching Pursuit, is stepwise optimal in the sense of minimizing at each iteration the mean square error norm of the signals in the set. When applied to compression of electrocardiograms, significant gains over other transformation based compression techniques are demonstrated on the MIT-BIH Arrhythmia dataset.
KW - Simultaneous Optimized Orthogonal Matching Pursuit
KW - Sparse Representation
KW - ECG compression
UR - https://arxiv.org/abs/2406.03316
U2 - 10.48550/arXiv.2406.03316
DO - 10.48550/arXiv.2406.03316
M3 - Preprint
BT - Simultaneous Optimized Orthogonal Matching Pursuit with Application to ECG Compression
ER -