INVESTIGADORES
CAIAFA Cesar Federico
artículos
Título:
A fast algorithm for spatiotemporal signals recovery using arbitrary dictionaries with application to electrocardiographic imaging
Autor/es:
CARACCIOLO, SANTIAGO F.; CAIAFA, CESAR F.; MARTÍNEZ PERÍA, FRANCISCO D.; ARINI, PEDRO. D.
Revista:
Biomedical Physics & Engineering Express
Editorial:
IOP Science
Referencias:
Año: 2022
ISSN:
2057-1976
Resumen:
This paper presents a method to solve a linear regression problem subject to group lasso and ridge penalisation when the model has a Kronecker structure. This model was developed to solve the inverse problem of electrocardiography using sparse signal representation over a redundant dictionary or frame. The optimisation algorithm was performed using the block coordinate descent and proximal gradient descent methods. The explicit computation of the underlying Kronecker structure in the regression was avoided, reducing space and temporal complexity. We developed an algorithm that supports the use of arbitrary dictionaries to obtain solutions and allows a flexible group distribution.
