Adaptive recognition and filtering of noise using wavelets
Anno: 1997
Autori: Boccaletti S., Giaquinta A., Arecchi F.T.
Affiliazione autori: Istituto Nazionale di Ottica, Largo E. Fermi 6, 50125 Firenze, Italy;
Department of Physics, University of Firenze, 50125 Firenze, Italy;
Department of Sistemi e Informatica, University of Firenze, Italy
Abstract: We combine wavelet transform and adaptive recognition techniques to introduce a filtering process able to analyze, categorize, and remove additive noise from experimental time series, without previous information either on the correlation properties of noise or on the dimension of the deterministic signal. The method is applied to a high dimensional delayed chaotic time series affected by additive white and colored noises. The obtained results show that the reconstruction of the signal both in real and in Fourier space is effective through the discrimination of noise from the deterministic part.
Giornale/Rivista: PHYSICAL REVIEW E
Volume: 55 (5) Da Pagina: 5393 A: 5397
Parole chiavi: CHAOTIC DYNAMICS; SIGNAL ANALYSIS; TRANSFORM; ATTRACTORS; SYSTEMDOI: 10.1103/PhysRevE.55.5393Citazioni: 18dati da “WEB OF SCIENCE” (of Thomson Reuters) aggiornati al: 2024-05-12Riferimenti tratti da Isi Web of Knowledge: (solo abbonati) Link per visualizzare la scheda su IsiWeb: Clicca quiLink per visualizzare la citazioni su IsiWeb: Clicca qui