학술논문

Sparse Representations with Cone Atoms
Document Type
Conference
Source
ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) Acoustics, Speech and Signal Processing (ICASSP), ICASSP 2023 - 2023 IEEE International Conference on. :1-5 Jun, 2023
Subject
Bioengineering
Communication, Networking and Broadcast Technologies
Computing and Processing
Signal Processing and Analysis
Heart beat
Matching pursuit algorithms
Signal processing
Acoustics
Complexity theory
Speech processing
Anomaly detection
sparse representations
dictionary
Orthogonal Matching Pursuit
cone atoms
anomaly detection
Language
ISSN
2379-190X
Abstract
We extend the notion of sparse representation to the case where the atoms are not vectors, but cones, hence infinite sets. The sparse representation is linear, as usual, but the most convenient vector is chosen from each selected cone. We give a cone version of Orthogonal Matching Pursuit (OMP) and show that its complexity is only a few times larger than that of OMP. The new cone OMP can be used for anomaly detection; we apply it with very good results to the detection of abnormal heartbeats.