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Some results on fixed-point error analysis of Wigner-Ville distribution
K. M.Muraleedhara Prabhu, Ravi Shanmuga Sundaram
Published in Elsevier
1996
Volume: 51
   
Issue: 3
Pages: 235 - 240
Abstract
The Wigner-Ville distribution (WVD) has been a powerful signal processing tool for time-frequency signal analysis. Consequently, many algorithms have been proposed in the literature for computing the WVD in real-time applications [2, 8, 7, 5]. Recently, Pei and Yang proposed an efficient algorithm which uses discrete Hartley transform (DHT) to evaluate the WVD entirely in the real domain [5]. In this paper, a fixed-point error analysis of this algorithm has been carried out. An expression for output noise-to-signal ratio (NSR) is derived. The results indicate that this algorithm has better noise properties when compared to the FFT-based algorithm, even though the FFT has better noise properties than the FHT.
About the journal
JournalData powered by TypesetSignal Processing
PublisherData powered by TypesetElsevier
ISSN01651684
Open AccessNo
Concepts (13)
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    Algorithms
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    Errors
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    Fast fourier transforms
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    Mathematical transformations
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    Numerical methods
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    Real time systems
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    Spurious signal noise
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    DISCRETE HARTLEY TRANSFORM
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    FIXED POINT ERROR ANALYSIS
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    OUTPUT NOISE TO SIGNAL RATIO
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    TIME FREQUENCY SIGNAL ANALYSIS
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    WIGNER-VILLE DISTRIBUTION
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    Signal theory