Generalized IFS for Signal Processing
Lévy Véhel, Jacques ; Daoudi, Khalid
HAL, inria-00598746 / Harvested from HAL
Text on HAL
We propose a new approach for the estimation of the Hölder exponent based on a generalization of iterated functions system (IFS), which is well adapted to irregular continuous 1D signals. We also use these generalized IFS to build parsimonious models of complex signals and to perform segmentation on them. An application on a residual speech signal is presented.
Publié le : 1996-09-01
Classification:  [MATH.MATH-PR]Mathematics [math]/Probability [math.PR] 
@article{inria-00598746,
     author = {L\'evy V\'ehel, Jacques and Daoudi, Khalid},
     title = {Generalized IFS for Signal Processing},
     journal = {HAL},
     volume = {1996},
     number = {0},
     year = {1996},
     language = {en},
     url = {http://dml.mathdoc.fr/item/inria-00598746}
}

Lévy Véhel, Jacques; Daoudi, Khalid. Generalized IFS for Signal Processing. HAL, Tome 1996 (1996) no. 0, . http://gdmltest.u-ga.fr/item/inria-00598746/