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Elnaz Banan Sadeghian

dblp:161/2143 · DBLP profile ↗
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4ranked-venue papers
4as first author
2since 2021 · last 2022
0000-0003-3657-667XORCID · corroborated

Domains — the database's venue-derived domains; a paper can count in several

Computer networks · 4 · 4 first-author · 2 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer architecture, parallel and distributed computing, and storage systems
2 papers
Storage systems · 100%
Computer networks
2 papers
Physical-layer communications · 100%

Topics — the 7 heaviest of 7, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Storage systems
magnetic recording
0.822022
Asynchronous Multitrack Detection With a Generalized Partial-Response Maximum-Likelihood Strategy · IEEE Trans. Commun. 2022
The Rotating-Target Algorithm for Jointly Detecting Asynchronous Tracks · IEEE J. Sel. Areas Commun. 2016
Physical-layer communications › equalization
partial response equalization
0.612022
Asynchronous Multitrack Detection With a Generalized Partial-Response Maximum-Likelihood Strategy · IEEE Trans. Commun. 2022
Physical-layer communications
signal processing for communications
0.612022
Asynchronous Multitrack Detection With a Generalized Partial-Response Maximum-Likelihood Strategy · IEEE Trans. Commun. 2022
Storage systems › magnetic recording
multitrack detection
0.612022
Asynchronous Multitrack Detection With a Generalized Partial-Response Maximum-Likelihood Strategy · IEEE Trans. Commun. 2022
Physical-layer communications › signal detection
joint detection
0.212016
The Rotating-Target Algorithm for Jointly Detecting Asynchronous Tracks · IEEE J. Sel. Areas Commun. 2016
Storage systems › magnetic recording
two-dimensional magnetic recording
0.212016
The Rotating-Target Algorithm for Jointly Detecting Asynchronous Tracks · IEEE J. Sel. Areas Commun. 2016
Coding theory › error-correcting codes › decoding › trellis decoding
viterbi algorithm
0.112016
The Rotating-Target Algorithm for Jointly Detecting Asynchronous Tracks · IEEE J. Sel. Areas Commun. 2016

Methods — techniques the papers use, named apart from their topics

trellis-based sequence detection · 1.1MIMO equalization · 1.1timing estimation · 0.8per-survivor processing · 0.8joint viterbi algorithm · 0.8
YearPublicationVenuePosition
2022 Asynchronous Multitrack Detection With a Generalized Partial-Response Maximum-Likelihood Strategy
abstract
The industry standard for single-track detection in magnetic recording is partial-response equalization followed by a trellis-based sequence detector. We extend for the first time the partial-response paradigm to the case of multitrack detection when the multiple tracks being jointly detected were written asynchronously, with different bit phases and bit rates. We propose a multiple-input multiple-output (MIMO) partial-response equalizer that equalizes the unsynchronized samples of the multiple readback waveforms to a time-varying MIMO target, thereby enabling a trellis-based rotating-target (ROTAR) detector that accounts for the asynchrony. We evaluate the proposed equalization strategy on a two-dimensional magnetic-recording channel, and find that the proposed receiver outperforms a conventional receiver that detects one track at a time, by a 30% reduction in the bit-error rate, and that it closely matches the performance of a fictitious system in which the tracks are perfectly synchronous.
Elnaz Banan Sadeghian, John R. Barry
IEEE Trans. Commun.1
2021 Partial-Response Maximum-Likelihood Joint Detection of Asynchronous Tracks
abstract
The industry standard for single-track detection in magnetic recording is partial-response equalization followed by a trellis-based sequence detector. We extend for the first time the partial-response paradigm to the case of multitrack detection when the multiple tracks being jointly detected were written asynchronously, with different bit phases and bit rates. We propose a multiple-input multiple-output (MIMO) partial-response equalizer that equalizes the unsynchronized samples of the multiple readback waveforms to a time-varying MIMO target, thereby enabling a trellis-based sequence detector that is based on the resulted time-varying target to account for the asynchrony. We evaluate the proposed equalization strategy on a two-dimensional magnetic-recording channel, and find that the proposed receiver outperforms a conventional receiver that detects one track at a time, and that it closely matches the performance of a fictitious system in which the tracks are perfectly synchronous.
Elnaz Banan Sadeghian, John R. Barry
ICC1
2016 The rotating-target algorithm for jointly detecting asynchronous tracks
abstract
Two-dimensional magnetic recording promises to increase areal density through the joint detection of multiple tracks of interest. This paper concerns the problem of joint detection of multiple tracks that are written asynchronously, meaning that neither the bit boundaries (phase) nor the bit rate (frequency) are aligned between neighboring tracks. We propose the rotating-target (ROTAR) algorithm for jointly detecting multiple asynchronous tracks from one or more readback waveforms. The proposed approach is based on the joint Viterbi algorithm and a time-varying target that results when the asynchrony of the tracks is absorbed into the underlying target. Timing estimation for the tracks being detected is embedded inside the joint Viterbi detector using per-survivor processing. Performance results show that the proposed algorithm closely matches the performance of a fictitious system in which neighboring tracks are synchronous, and further that it significantly outperforms a previously reported detector that separately detects the two tracks.
Elnaz Banan Sadeghian, John R. Barry
ICC1
2016 The Rotating-Target Algorithm for Jointly Detecting Asynchronous Tracks
abstract
Two-dimensional magnetic recording promises to increase areal density through the joint detection of multiple tracks of interest. This paper concerns the problem of joint detection of multiple tracks that are written asynchronously, meaning that neither the bit boundaries (phase) nor the bit rate (frequency) are aligned between neighboring tracks. We propose the rotating-target algorithm for jointly detecting multiple asynchronous tracks from one or more readback waveforms. The proposed approach is based on the joint Viterbi algorithm and a time-varying target that results when the asynchrony of the tracks is absorbed into the underlying target. Timing estimation for the tracks being detected is embedded inside the joint Viterbi detector using per-survivor processing. Performance results show that the proposed algorithm closely matches the performance of a fictitious system in which neighboring tracks are synchronous, and further that it significantly outperforms a previously reported detector that separately detects the two tracks.
Elnaz Banan Sadeghian, John R. Barry
IEEE J. Sel. Areas Commun.1