INVESTIGADORES
REY VEGA Leonardo Javier
artículos
Título:
ADAPTIVE FILTERING USING PROJECTION ONTO CONVEX SETS
Autor/es:
LEONARDO REY VEGA; SARA TRESSENS; HERNÁN REY
Revista:
LATIN AMERICAN APPLIED RESEARCH
Editorial:
PLAPIQUI(UNS-CONICET)
Referencias:
Lugar: Bahía Blanca; Año: 2006 vol. 36 p. 123 - 128
ISSN:
0327-0793
Resumen:
In this paper we propose a novel adaptive filtering algorithm. The algorithm exploits the information  given by the power spectral density of the noise extracted from the periodogram of filtering error.  The goal is try to match the spectral properties of the error filtering with the spectral properties of  the measurement noise. With this in mind appropriate convex and closed sets are built and  projections onto them are computed. The simulation results show that the algorithm has excellent  convergence properties with a reduced number of updates. This could be exploited to obtain a  lower computational load.