Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: On Estimation of Hurst Scaling Exponent through Discrete Wavelets   We study the scaling behavior of the fluctuations, as extracted through
wavelet coefficients based on discrete wavelets. The analysis is carried out on
a variety of physical data sets, as well as Gaussian white noise and binomial
multi-fractal model time series and the results are compared with continuous
wavelet based average wavelet coefficient method. It is found that high-pass
coefficients of wavelets, belonging to the Daubechies family are quite good in
estimating the true power in the fluctuations in a non-stationary time series.
Hence, the fluctuation functions based on discrete wavelet coefficients find
the Hurst scaling exponents accurately.

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The categories of this paper are: supr-con
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The categories of this paper are: hep-ph
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The categories of this paper are: q-bio
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The categories of this paper are: gr-qc
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The categories of this paper are: hep-ex
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The categories of this paper are: solv-int
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The categories of this paper are: chao-dyn
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The categories of this paper are: nucl-th
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The categories of this paper are: plasm-ph
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The categories of this paper are: alg-geom
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The categories of this paper are: acc-phys
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The categories of this paper are: funct-an
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The categories of this paper are: adap-org
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The categories of this paper are: patt-sol
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The categories of this paper are: econ
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The categories of this paper are: eess