OFC 2001. Optical Fiber Communication Conference and Exhibit. Technical Digest Postconference Edition (IEEE Cat. 01CH37171)
DOI: 10.1109/ofc.2001.928437
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Design of near optimum electrical equalizers for optical transmission in the presence of PMD

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Cited by 38 publications
(11 citation statements)
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“…The use of MLSE to compensate for deterministic non-linear distortions in channels exhibiting memory [2], [3], and the importance of the Viterbi algorithm (VA) [4] will be described. The branch metrics used by the VA can be implemented using non-parametric histogram approximations to the actual PDFs, or parametric analytic closed form expressions [9].…”
Section: Mlse Backgroundmentioning
confidence: 99%
“…The use of MLSE to compensate for deterministic non-linear distortions in channels exhibiting memory [2], [3], and the importance of the Viterbi algorithm (VA) [4] will be described. The branch metrics used by the VA can be implemented using non-parametric histogram approximations to the actual PDFs, or parametric analytic closed form expressions [9].…”
Section: Mlse Backgroundmentioning
confidence: 99%
“…There two decisions with different thresholds are provided simultaneously and one of both is selected by a multiplexer in a digital feedback loop depending on the last decision. Integrated circuits (IC) exclusively designed for 10-Gb/s signal processing and based on SiGe or GaAs technology [42,43,44,45,46] have been manufactured for lab use and also first product prototypes are already on the market. First ICs suitable for 40-Gbit/s operation might appear in research labs in the next time (2004).…”
Section: Basic Electronic Equalizersmentioning
confidence: 99%
“…The maximum likelihood signal detection (MLSD) scheme is based on delayed decision after analyzing a whole distorted signal sequence over a few bit slots [40,42]. MLSD exhibits the ultimate performance of electrical processing schemes.…”
Section: Viterbi Equalizermentioning
confidence: 99%
“…The use of electronic signal processing in the receiver can reduce this problem and easily adapt to changing channel conditions. It has been shown [2] that MLSE receivers can efficiently cope with impairments such as nonlinear dispersion and nongaussian signal-dependent noise.…”
Section: Introductionmentioning
confidence: 99%