INVESTIGADORES
HURTADO Martin
congresos y reuniones científicas
Título:
Optimal compression for sparse linear models
Autor/es:
S. PAZOS; M. HURTADO; C. MURAVCHIK
Lugar:
Paraná
Reunión:
Congreso; Reunion de Trabajo en Procesamiento de la Informacion y Control; 2011
Institución organizadora:
Universidad Nacional de Entre Ríos
Resumen:
In this paper, we propose amethod for designing the optimal compressionof measurements which can be characterized bya sparse linear model. The aim of the compres-sion is not only to reduce the amount of datato be processed but also to reject undesired sig-nals (interferences). As a result, we reduce thecomputation time and the error for estimat-ing the unknown parameters of the model, withrespect to the uncompressed data. Using syn-thetic data, we analyze the performance of theproposed algorithm.
