DocumentCode :
703401
Title :
Solution of the super-resolution problem through extrapolation of the orthogonal spectra using multi-valued neural technique
Author :
Aizenberg, Igor ; Aizenberg, Naum ; Astola, Jaakko ; Egiazarian, Karen
Author_Institution :
Dept. ESAT/SISTA, K.U. Leuven, Heverlee, Belgium
fYear :
1998
fDate :
8-11 Sept. 1998
Firstpage :
1
Lastpage :
4
Abstract :
Two methods of the orthogonal spectra extrapolation problem are considered in this paper. Both solutions are based on the application of multi-valued neural element as a filter and as an extrapolator. The first method consist of approximation of the spectra in the higher frequency part using an iterative approximation and multi-valued non-linear filtering. The second method is reduced to the prediction of the spectral coefficients corresponding to the higher frequency part using possibility of MVN to predict time-series. Application of the proposed methods to solution of the super-resolution problem are presented.
Keywords :
approximation theory; extrapolation; iterative methods; nonlinear filters; time series; extrapolator; iterative approximation; multi-valued neural element; multi-valued neural technique; multi-valued non-linear filtering; orthogonal spectra extrapolation; spectra approximation; super-resolution problem; time-series; Extrapolation; Frequency-domain analysis; Image restoration; Neurons; Noise; Time series analysis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal Processing Conference (EUSIPCO 1998), 9th European
Conference_Location :
Rhodes
Print_ISBN :
978-960-7620-06-4
Type :
conf
Filename :
7089872
Link To Document :
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