%0 Journal Article
%@holdercode {isadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S}
%@nexthigherunit 8JMKD3MGPCW/3ESGTTP
%@nexthigherunit 8JMKD3MGPCW/46JM77P
%@archivingpolicy denypublisher denyfinaldraft24
%@issn 0378-4371
%@usergroup administrator
%@usergroup banon
%@usergroup jefferson
%3 55.pdf
%B Physica A: Statistical Mechanics and its Applications
%@dissemination WEBSCI; PORTALCAPES; COMPENDEX.
%X We present a multiscale signal analysis based on the multifractal spectrum obtained by the Wavelet Transform Modulus Maxima technique. We analyze time series from turbulent data: the first step is to obtain the PDF of the flutuations for velocities records and then to fit them by means of the Tsallis generalized thermodynamics (Tsallis, J. Stat. Phys. 52 (1998)479)the second step is to obtain the multifractal spectra of the time series by the wavelet transform (Muzy et al., Phys. Rev. Lett. 67 (1991)3515). The aim of this approach was to investigate a possible phenomenological connection between the entropic parameter (q)and the multifractal spectrum fur turbulence.
%8 jun.
%N 1-2
%@secondarydate 20011009
%T Multiscale analysis from turbulent time series with wavelet transform
%K ESTUDO DO SINAL GEOFÍSICO, turbulence, non-extensive statistics, wavelets, multifractal formalism, signal.
%@secondarytype PRE PI
%@group LMO-INPE-MCT-BR
%@group LAC-INPE-MCT-BR
%@copyholder SID/SCD
%@secondarykey INPE-9248-PRE/4919
%F 10171
%2 sid.inpe.br/iris@1905/2005/08.03.22.45.55
%@affiliation Instituto Nacional de Pesquisas Espaciais (INPE)
%P 215-218
%4 sid.inpe.br/iris@1905/2005/08.03.22.45.48
%D 2001
%V 295
%A Rodrigues Neto, Camilo,
%A Zanandrea, Ademilson,
%A Ramos, Fernando Manuel,
%A Rosa, Reinaldo Roberto,
%A Bolzan, Mauricio Jose Alves,
%A Sa, Leonardo Deane de Abreu,
%@area MET