DocumentCode
2343373
Title
Tracking long-range dependencies with wavelets
Author
Flandrin, Patrick ; Abry, Patrice
Author_Institution
Lab. de Phys., ENS Lyon, France
fYear
1994
fDate
27-29 Oct 1994
Firstpage
54
Abstract
Long-range dependent processes exhibit features, such as 1/f spectra, for which wavelets offer versatile tools and provide a unifying framework. This efficiency is demonstrated on both continuous processes, point processes and filtered point processes. The fractal shot noise model is also considered
Keywords
filtering theory; fractals; shot noise; signal processing; spectral analysis; tracking; wavelet transforms; 1/f spectra; continuous processes; filtered point processes; fractal shot noise model; long-range dependencies tracking; long-range dependent processes; point processes; wavelets; Biological system modeling; Brownian motion; Continuous wavelet transforms; Fractals; Gaussian noise; Physics; Solid state circuits; Spectral analysis; Wavelet analysis; Wavelet transforms;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Theory and Statistics, 1994. Proceedings., 1994 IEEE-IMS Workshop on
Conference_Location
Alexandria, VA
Print_ISBN
0-7803-2761-6
Type
conf
DOI
10.1109/WITS.1994.513885
Filename
513885
Link To Document