%0 Journal Article
%T Algoritmo conjunto Kalman-Haar aplicado al procesamiento de se£¿ales
%A Viegener
%A Alejandro
%A Sirne
%A Ricardo O
%A P. Serrano
%A Eduardo
%A Fabio
%A Marcela
%A D¡¯Attellis
%A Carlos E
%J Revista de Matem¨¢tica Teor¨ªa y Aplicaciones
%D 2012
%I Centro de Investigaciones en Matem¨¢tica Pura y Aplicada (CIMPA)
%X under the analysis of signals disturbed by noise, in this paper we propose a working methodology aimed to seize the best estimate of combining kalman filtering with the characterization that is achieved by applying a multiresolution analysis (mra) using wavelets. from the standpoint of kalman filtering this combined procedure is quasi-optimal, but the change to be made allows the simultaneous implementation of a scheme of wavelet denoising; with this decreases the computational cost of applying both procedures separately. our proposal is to process the signal by successive non-overlapping intervals, combining the process for calculating the optimal filter with a mra using the haar wavelet. the method takes advantage of the combined use of both tools (kalman-haar) and is free from edge problems related to the signal segmentation
%K signal processing
%K kalman filter
%K wavelet denoising
%K multiresolution analysis.
%U http://www.scielo.sa.cr/scielo.php?script=sci_abstract&pid=S1409-24332012000100003&lng=en&nrm=iso&tlng=en