Referenced Items are not available for this document.
We present a novel iterative row-column soft decision feedback algorithm (IRCSDFA) for detection of binary images corrupted by 2-D intersymbol interference and additive white Gaussian noise. The algorithm exchanges weighted soft information between row and column maximum a posteriori (MAP) detectors. Each MAP detector exploits soft-decision feedback from previously processed rows or columns. The new algorithm gains about 0.3 dB over the previously best published results for the 2times2 averaging mask. For a non-separable 3times3 mask, the IRCSDFA gains 0.8 dB over a previous soft-input/soft-output iterative algorithm which decomposes the 2-D convolution into 1-D row and column operations.
Published in:
Signal Processing Letters, IEEE
(Volume:14
,
Issue:
7
)
Date of Publication: July 2007
- Page(s):
- 433 - 436
- ISSN :
- 1070-9908
- INSPEC Accession Number:
- 9744219
- Digital Object Identifier :
- 10.1109/LSP.2006.891329
- Product Type:
- Journals & Magazines
- Date of Current Version :
- 18 June 2007
- Issue Date :
- July 2007
- Sponsored by :
- IEEE Signal Processing Society
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