Generalized IFS for Signal Processing
| Autor: | J. Levy Vehel, Khalid Daoudi |
|---|---|
| Přispěvatelé: | INRIA Rocquencourt, Institut National de Recherche en Informatique et en Automatique (Inria), John M Lervik, Patrick Waldemar |
| Jazyk: | angličtina |
| Rok vydání: | 1996 |
| Předmět: |
Mathematical optimization
Signal processing Generalization Estimation theory business.industry Iterative method 020206 networking & telecommunications 02 engineering and technology Inverse problem 01 natural sciences Term (time) [MATH.MATH-PR]Mathematics [math]/Probability [math.PR] Iterated function 0103 physical sciences 0202 electrical engineering electronic engineering information engineering 010306 general physics business Algorithm Digital signal processing Mathematics |
| Zdroj: | Digital Signal Processing Workshop Digital Signal Processing Workshop, Sep 1996, Loen, Norway. ⟨10.1109/DSPWS.1996.555571⟩ |
| Popis: | 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. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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