(Enter summary)
Abstract: this
paper,
we
develop
a
new
multiscale
modeling
framework
for
characterizing
positive-valued
data
with
long-range-dependent
correlations
(1=f
noise).
Using
the
Haar
wavelet
transform
and
a
special
multiplicative
structure
on
the
wavelet
and
scaling
coefficients
to
ensure
positive
results,
the
model
provides
a
rapid
algorithm
for
sets.
We
study
both
the
second-order
and
multifractal
properties
of
the
model,
the
latter
after
a
tutorial
overview
of
multifractal
analysis.
We
derive
a
scheme... (Update)
Cited by: More
Unknown -
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BibTeX entry: (Update)
@article{ riedi99multifractal,
author = "R. H. Riedi and M. S. Crouse and V. J. Ribeiro and R. G. Baraniuk",
title = "A Multifractal Wavelet Model with Application to Network Traffic",
journal = "IEEE Transactions on Information Theory",
volume = "45",
number = "4",
pages = "992--1018",
year = "1999",
url = "citeseer.ist.psu.edu/riedi98multifractal.html" }
Citations (may not include all citations):
1
Principe d'incertitude, bases Hilbertiennes alg` ebres d'op'.. (context) - Pacific, Nov - 1998
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