A Simple Statistical Analysis of Wavelet-based Multifractal Spectrum Estimation

dc.citation.bibtexNameinproceedingsen_US
dc.citation.conferenceNameAsilomar Conference on Signals, Systems, and Computersen_US
dc.citation.firstpage287
dc.citation.lastpage291
dc.citation.locationPacific Grove, CAen_US
dc.citation.volumeNumber1en_US
dc.contributor.authorGoncalves, Pauloen_US
dc.contributor.authorRiedi, Rudolf H.en_US
dc.contributor.authorBaraniuk, Richard G.en_US
dc.contributor.orgDigital Signal Processing (http://dsp.rice.edu/)en_US
dc.date.accessioned2007-10-31T00:44:45Z
dc.date.available2007-10-31T00:44:45Z
dc.date.issued1998-11-01en
dc.date.modified2006-07-19en_US
dc.date.note2004-01-13en_US
dc.date.submitted1998-11-01en_US
dc.descriptionConference Paperen_US
dc.description.abstractThe multifractal spectrum characterizes the scaling and singularity structures of signals and proves useful in numerous applications, from network traffic analysis to turbulence. Of great concern is the estimation of the spectrum from a finite data record. In this paper, we derive asymptotic expressions for the bias and variance of a wavelet-based estimator for a fractional Brownian motion (fBm) process. Numerous numerical simulations demonstrate the accuracy and utility of our results.en_US
dc.description.sponsorshipNational Science Foundationen_US
dc.description.sponsorshipAir Force Office of Scientific Researchen_US
dc.identifier.citationP. Goncalves, R. H. Riedi and R. G. Baraniuk, "A Simple Statistical Analysis of Wavelet-based Multifractal Spectrum Estimation," vol. 1, 1998.
dc.identifier.doihttp://dx.doi.org/10.1109/ACSSC.1998.750873en_US
dc.identifier.urihttps://hdl.handle.net/1911/19901
dc.language.isoeng
dc.subjectTemporary*
dc.subject.keywordTemporaryen_US
dc.subject.otherMultifractalsen_US
dc.titleA Simple Statistical Analysis of Wavelet-based Multifractal Spectrum Estimationen_US
dc.typeConference paper
dc.type.dcmiText
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