Referenced Items are not available for this document.
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. However, Boashash (1987) has proposed and showed that the evaluation of the analytic signal using the time-domain approach, and involving the Hilbert transformer, is the most efficient algorithm for real-time applications. A fixed-point error analysis of this algorithm has been carried out. The theoretical noise-to-signal ratio (NSR) is derived and verified through simulation. The results indicate that for this algorithm, the NSR increases by 0.5 bit/stage, whereas for the other algorithms, it increases by 1 bit/stage
Published in:
Signal Processing, IEEE Transactions on
(Volume:45
,
Issue:
10
)
Date of Publication: Oct 1997
- Page(s):
- 2579 - 2582
- ISSN :
- 1053-587X
- INSPEC Accession Number:
- 5728525
- Digital Object Identifier :
- 10.1109/78.640723
- Product Type:
- Journals & Magazines
- Date of Current Version :
- 06 August 2002
- Issue Date :
- Oct 1997
- Sponsored by :
- IEEE Signal Processing Society
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