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Simplified Computation for Non-Parametric Windows Method of Probability Density Function Estimation.

Abstract:

Recently Kadir et al. have proposed a method for estimating probability density functions (PDF) for digital signals which they call the Non-Parametric (NP) Windows method. The method involves constructing a continuous space representation of the discrete space and sampled signal using a suitable interpolation method. NP Windows requires only a small number of observed signal samples to estimate the PDF and is completely data driven. In this short paper, we first develop analytical formulae to...

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Publication status:
Published

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Publisher copy:
10.1109/tpami.2011.51

Authors


Journal:
IEEE transactions on pattern analysis and machine intelligence
Volume:
33
Issue:
8
Pages:
1673-1680
Publication date:
2011-03-05
DOI:
EISSN:
1939-3539
ISSN:
0162-8828
URN:
uuid:c23dfa44-ba22-4847-b3d9-6e1b788418cb
Source identifiers:
164227
Local pid:
pubs:164227

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