DocumentCode :
3236336
Title :
Optimal data retrieval for high density storage
Author :
Burkhardt, Hans
Author_Institution :
Tech. Inf., Tech. Univ. Hamburg, West Germany
fYear :
1989
fDate :
8-12 May 1989
Firstpage :
15707
Lastpage :
17533
Abstract :
For increased track densities or in optical storage media (high areal density) crosstalk is observed between the tracks, with two-dimensional dispersion. The author discusses maximum a posteriori data-detection techniques for signals corrupted by one- and two-dimensional intersymbol interference and additive noise. The distortions are modeled by Markov processes, and dynamic programming in the form of a Viterbi algorithm is applied to the problem of optimal data retrieval. Aspects such as detection performance and implementation considerations are discussed
Keywords :
Markov processes; dynamic programming; optical storage; signal processing; MAP data detection; Markov processes; Viterbi algorithm; additive noise; crosstalk; detection performance; dynamic programming; high areal density; high density storage; implementation; maximum a posteriori data-detection techniques; one-dimensional intersymbol interference; optical storage media; optimal data retrieval; signals; track densities; two-dimensional dispersion; two-dimensional intersymbol interference; Additive noise; Dynamic programming; Information retrieval; Intersymbol interference; Markov processes; Nonlinear optics; Optical crosstalk; Optical distortion; Optical noise; Viterbi algorithm;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
CompEuro '89., 'VLSI and Computer Peripherals. VLSI and Microelectronic Applications in Intelligent Peripherals and their Interconnection Networks', Proceedings.
Conference_Location :
Hamburg
Print_ISBN :
0-8186-1940-6
Type :
conf
DOI :
10.1109/CMPEUR.1989.93341
Filename :
93341
Link To Document :
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