DocumentCode :
311167
Title :
Performance of optimal digital page detection in a two-dimensional ISI/AWGN channel
Author :
Chugg, Keith M.
Author_Institution :
Dept. of Electr. Eng. Syst., Univ. of Southern California, Los Angeles, CA, USA
fYear :
1996
fDate :
3-6 Nov. 1996
Firstpage :
958
Abstract :
The performance of maximum likelihood page detection (MLPD) of digital pages of data corrupted by intersymbol interference (ISI) and additive white Gaussian noise (AWGN) is derived. While the development concentrates on the linear ISI channel with AWGN, the results characterize the performance of the ML state estimator for a more general class of Markov random fields. Hence, while page detection in optical memory systems provides the motivation, the results are applicable to a broader class of problems including image de-blurring. While MLPD is infeasible, its performance provides a lower bound for the performance of practical data detection techniques. This utility is demonstrated through numerical examples.
Keywords :
Gaussian channels; Markov processes; data communication; digital communication; image enhancement; image recognition; intersymbol interference; maximum likelihood detection; random processes; state estimation; ML state estimator; MLPD; Markov random field; additive white Gaussian noise; data detection; digital pages; image de-blurring; intersymbol interference; linear ISI channel; maximum likelihood page detection; optical memory systems; optimal digital page detection; performance; two-dimensional ISI/AWGN channel; AWGN channels; Additive white noise; Algorithm design and analysis; Gaussian noise; Intersymbol interference; Markov random fields; Maximum likelihood detection; Maximum likelihood estimation; Optical noise; Optical scattering;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signals, Systems and Computers, 1996. Conference Record of the Thirtieth Asilomar Conference on
Conference_Location :
Pacific Grove, CA, USA
ISSN :
1058-6393
Print_ISBN :
0-8186-7646-9
Type :
conf
DOI :
10.1109/ACSSC.1996.599086
Filename :
599086
Link To Document :
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