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A novel higher order statistics (HOS) based adaptive filtering algorithm for line enhancement is suggested. The enhancement process is achieved by filtering the noisy signal through an adaptive FIR filter. The steady state of the impulse response of this filter is proportional to a selected one-dimensional (1-D) slice of the fourth-order mixed cumulant of the input signal. It is shown that this slice is comprised of noiseless sinusoids if the input signal is comprised of sinusoids embedded in Gaussian noise. Therefore, the algorithm is considered to be a suitable one in processing sinusoids embedded in highly colored Gaussian noise. Simulation results verify the performance of the proposed algorithm
Published in:
Signal Processing, IEEE Transactions on
(Volume:47
,
Issue:
2
)
Date of Publication: Feb 1999
- Page(s):
- 527 - 532
- ISSN :
- 1053-587X
- INSPEC Accession Number:
- 6159606
- Digital Object Identifier :
- 10.1109/78.740137
- Product Type:
- Journals & Magazines
- Date of Current Version :
- 06 August 2002
- Issue Date :
- Feb 1999
- Sponsored by :
- IEEE Signal Processing Society
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