Decoding Criteria and Zero WER Analysis for Channels with Bounded Noise and Offset

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

2 Citations (Scopus)

Abstract

Data storage systems may not only be disturbed by noise. In some cases, the error performance can also be seriously degraded by offset mismatch. Here, channels are considered for which both the noise and offset are bounded. For such channels, Euclidean distance-based decoding, Pearson distance-based decoding, and Maximum Likelihood decoding are considered. In particular, for each of these decoders, bounds are determined on the magnitudes of the noise and offset intervals which lead to a word error rate equal to zero. Case studies with simulation results are presented confirming the findings.
Original languageEnglish
Title of host publication2019 IEEE International Conference on Communications (ICC)
Subtitle of host publicationProceedings
Place of PublicationPiscataway
PublisherIEEE
Pages1-6
Number of pages6
ISBN (Electronic)978-1-5386-8088-9
ISBN (Print)78-1-5386-8089-6
DOIs
Publication statusPublished - 2019
Event2019 IEEE International Conference on Communications, ICC 2019 - Shanghai, China
Duration: 20 May 201924 May 2019

Conference

Conference2019 IEEE International Conference on Communications, ICC 2019
CountryChina
CityShanghai
Period20/05/1924/05/19

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