DocumentCode :
1720059
Title :
Generalized IFS for signal processing
Author :
Véhel, Jacques Lévy ; Daoudi, Khalid
Author_Institution :
Inst. Nat. de Recherche en Inf. et Autom., Le Chesnay, France
fYear :
1996
Firstpage :
498
Lastpage :
501
Abstract :
We present a new method to estimate the local regularities, measured in term of Holder exponents, at different resolutions of continuous signals. This method is based on a generalization of the iterated functions system and seems well adapted to signals that present irregularities at all scales. We also utilize this generalization to build parsimonious models of complex signals, using the information given by the Holder exponents hence computed
Keywords :
iterative methods; parameter estimation; signal representation; signal resolution; signal synthesis; Holder exponents; complex signals; continuous signal resolution; generalised iterated functions system; local regularities estimation; parsimonious models; signal modelling; signal processing; signal representation; signal synthesis; speech signal; Conferences; Digital signal processing; Displays; Inverse problems; Signal processing; Yield estimation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Digital Signal Processing Workshop Proceedings, 1996., IEEE
Conference_Location :
Loen
Print_ISBN :
0-7803-3629-1
Type :
conf
DOI :
10.1109/DSPWS.1996.555571
Filename :
555571
Link To Document :
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