Home > Research > Publications & Outputs > Low Complexity Symbol Detection Method for Mult...

Research

Associated organisational units

Links

Text available via DOI:

Keywords

View graph of relations

Low Complexity Symbol Detection Method for Multilevel 2-D Optical Storage Based on a Linear Channel Model.

Research output: Contribution to Journal/Magazine › Journal article › peer-review

Published

Standard

Low Complexity Symbol Detection Method for Multilevel 2-D Optical Storage Based on a Linear Channel Model. / Moinian, Abdolhosein; Fagoonee, Lina; Honary, Bahram.
In: Optical Engineering, Vol. 44, No. 10, 18.10.2005.

Research output: Contribution to Journal/Magazine › Journal article › peer-review

Harvard

Moinian, A, Fagoonee, L & Honary, B 2005, 'Low Complexity Symbol Detection Method for Multilevel 2-D Optical Storage Based on a Linear Channel Model.', Optical Engineering, vol. 44, no. 10. https://doi.org/10.1117/1.2087647

APA

Moinian, A., Fagoonee, L., & Honary, B. (2005). Low Complexity Symbol Detection Method for Multilevel 2-D Optical Storage Based on a Linear Channel Model. Optical Engineering, 44(10). https://doi.org/10.1117/1.2087647

Vancouver

Moinian A, Fagoonee L, Honary B. Low Complexity Symbol Detection Method for Multilevel 2-D Optical Storage Based on a Linear Channel Model. Optical Engineering. 2005 Oct 18;44(10). doi: 10.1117/1.2087647

Author

Moinian, Abdolhosein ; Fagoonee, Lina ; Honary, Bahram. / Low Complexity Symbol Detection Method for Multilevel 2-D Optical Storage Based on a Linear Channel Model. In: Optical Engineering. 2005 ; Vol. 44, No. 10.

Bibtex

@article{518cb6bfbd9744c39b7965597b5db1a7,
title = "Low Complexity Symbol Detection Method for Multilevel 2-D Optical Storage Based on a Linear Channel Model.",
abstract = "A symbol detection scheme based on the Viterbi algorithm that simultaneously processes subsets of 2-D data in the presence of Gaussian noise was recently proposed for binary 2-D optical storage (TwoDOS). In the case of multilevel TwoDOS, a straightforward full-fledged maximum likelihood symbol detector, or even the previous Viterbi-based algorithm, is not an ideal solution due to complexity restrictions. We propose a suboptimum low complexity symbol detector, which still performs within the accepted performance bound for optical storage. We describe the procedures involved in designing and developing a practical symbol detection scheme for multilevel TwoDOS by analyzing the signal values generated by a linear channel model in the presence of Gaussian noise. Our proposed detection scheme exploits the properties of the 2-D data format on the disk, and is flexible enough to accommodate performance and complexity restrictions for optical storage applications.",
keywords = "DCS-publications-id, art-730, DCS-publications-credits, coding-fa, DCS-publications-personnel-id, 72, 34, 1",
author = "Abdolhosein Moinian and Lina Fagoonee and Bahram Honary",
year = "2005",
month = oct,
day = "18",
doi = "10.1117/1.2087647",
language = "English",
volume = "44",
journal = "Optical Engineering",
issn = "0091-3286",
publisher = "SPIE",
number = "10",

}

RIS

TY - JOUR

T1 - Low Complexity Symbol Detection Method for Multilevel 2-D Optical Storage Based on a Linear Channel Model.

AU - Moinian, Abdolhosein

AU - Fagoonee, Lina

AU - Honary, Bahram

PY - 2005/10/18

Y1 - 2005/10/18

N2 - A symbol detection scheme based on the Viterbi algorithm that simultaneously processes subsets of 2-D data in the presence of Gaussian noise was recently proposed for binary 2-D optical storage (TwoDOS). In the case of multilevel TwoDOS, a straightforward full-fledged maximum likelihood symbol detector, or even the previous Viterbi-based algorithm, is not an ideal solution due to complexity restrictions. We propose a suboptimum low complexity symbol detector, which still performs within the accepted performance bound for optical storage. We describe the procedures involved in designing and developing a practical symbol detection scheme for multilevel TwoDOS by analyzing the signal values generated by a linear channel model in the presence of Gaussian noise. Our proposed detection scheme exploits the properties of the 2-D data format on the disk, and is flexible enough to accommodate performance and complexity restrictions for optical storage applications.

AB - A symbol detection scheme based on the Viterbi algorithm that simultaneously processes subsets of 2-D data in the presence of Gaussian noise was recently proposed for binary 2-D optical storage (TwoDOS). In the case of multilevel TwoDOS, a straightforward full-fledged maximum likelihood symbol detector, or even the previous Viterbi-based algorithm, is not an ideal solution due to complexity restrictions. We propose a suboptimum low complexity symbol detector, which still performs within the accepted performance bound for optical storage. We describe the procedures involved in designing and developing a practical symbol detection scheme for multilevel TwoDOS by analyzing the signal values generated by a linear channel model in the presence of Gaussian noise. Our proposed detection scheme exploits the properties of the 2-D data format on the disk, and is flexible enough to accommodate performance and complexity restrictions for optical storage applications.

KW - DCS-publications-id

KW - art-730

KW - DCS-publications-credits

KW - coding-fa

KW - DCS-publications-personnel-id

KW - 72

KW - 34

KW - 1

U2 - 10.1117/1.2087647

DO - 10.1117/1.2087647

M3 - Journal article

VL - 44

JO - Optical Engineering

JF - Optical Engineering

SN - 0091-3286

IS - 10

ER -