Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Wavelet analysis and scaling properties of time series   We propose a wavelet based method for the characterization of the scaling
behavior of non-stationary time series. It makes use of the built-in ability of
the wavelets for capturing the trends in a data set, in variable window sizes.
Discrete wavelets from the Daubechies family are used to illustrate the
efficacy of this procedure. After studying binomial multifractal time series
with the present and earlier approaches of detrending for comparison, we
analyze the time series of averaged spin density in the 2D Ising model at the
critical temperature, along with several experimental data sets possessing
multi-fractal behavior.

2
The categories of this paper are: math
27
The categories of this paper are: comp-gas
14
The categories of this paper are: math-ph
28
The categories of this paper are: alg-geom
6
The categories of this paper are: astro-ph
35
The categories of this paper are: mtrl-th
23
The categories of this paper are: solv-int
17
The categories of this paper are: q-fin
11
The categories of this paper are: hep-lat
22
The categories of this paper are: chao-dyn
33
The categories of this paper are: plasm-ph
19
The categories of this paper are: eess
26
The categories of this paper are: bayes-an
34
The categories of this paper are: chem-ph
1
The categories of this paper are: cs
20
The categories of this paper are: acc-phys