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

Renfei Bu; Jos H. Weber

doi:10.1109/ICC.2019.8761442

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

Discrete Mathematics and Optimization

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-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 language	English
Title of host publication	2019 IEEE International Conference on Communications (ICC)
Subtitle of host publication	Proceedings
Place of Publication	Piscataway
Publisher	IEEE
Pages	1-6
Number of pages	6
ISBN (Electronic)	978-1-5386-8088-9
ISBN (Print)	78-1-5386-8089-6
DOIs	https://doi.org/10.1109/ICC.2019.8761442
Publication status	Published - 2019
Event	2019 IEEE International Conference on Communications, ICC 2019 - Shanghai, China Duration: 20 May 2019 → 24 May 2019

Conference

Conference	2019 IEEE International Conference on Communications, ICC 2019
Country/Territory	China
City	Shanghai
Period	20/05/19 → 24/05/19

Access to Document

10.1109/ICC.2019.8761442

Cite this

@inproceedings{71c20ad5508744c4b86a26af659f2d06,

title = "Decoding Criteria and Zero WER Analysis for Channels with Bounded Noise and Offset",

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.",

author = "Renfei Bu and Weber, {Jos H.}",

year = "2019",

doi = "10.1109/ICC.2019.8761442",

language = "English",

isbn = "78-1-5386-8089-6",

pages = "1--6",

booktitle = "2019 IEEE International Conference on Communications (ICC)",

publisher = "IEEE",

address = "United States",

note = "2019 IEEE International Conference on Communications, ICC 2019 ; Conference date: 20-05-2019 Through 24-05-2019",

}

TY - GEN

T1 - Decoding Criteria and Zero WER Analysis for Channels with Bounded Noise and Offset

AU - Bu, Renfei

AU - Weber, Jos H.

PY - 2019

Y1 - 2019

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=85070195426&partnerID=8YFLogxK

U2 - 10.1109/ICC.2019.8761442

DO - 10.1109/ICC.2019.8761442

M3 - Conference contribution

AN - SCOPUS:85070195426

SN - 78-1-5386-8089-6

SP - 1

EP - 6

BT - 2019 IEEE International Conference on Communications (ICC)

PB - IEEE

CY - Piscataway

T2 - 2019 IEEE International Conference on Communications, ICC 2019

Y2 - 20 May 2019 through 24 May 2019

ER -

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

Abstract

Conference

Access to Document

Other files and links

Fingerprint

Cite this