EDBT 2026 Demo / reviewers in the wild / expert
Elnaz Banan Sadeghian
dblp:161/2143
· DBLP profile ↗
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
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Storage systems
magnetic recording |
0.8 | 2 | 2022 | 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 |
0.6 | 1 | 2022 | Asynchronous Multitrack Detection With a Generalized Partial-Response Maximum-Likelihood Strategy · IEEE Trans. Commun. 2022 |
Physical-layer communications
signal processing for communications |
0.6 | 1 | 2022 | Asynchronous Multitrack Detection With a Generalized Partial-Response Maximum-Likelihood Strategy · IEEE Trans. Commun. 2022 |
Storage systems › magnetic recording
multitrack detection |
0.6 | 1 | 2022 | Asynchronous Multitrack Detection With a Generalized Partial-Response Maximum-Likelihood Strategy · IEEE Trans. Commun. 2022 |
Physical-layer communications › signal detection
joint detection |
0.2 | 1 | 2016 | The Rotating-Target Algorithm for Jointly Detecting Asynchronous Tracks · IEEE J. Sel. Areas Commun. 2016 |
Storage systems › magnetic recording
two-dimensional magnetic recording |
0.2 | 1 | 2016 | 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 |
0.1 | 1 | 2016 | 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
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2022 | Asynchronous Multitrack Detection With a Generalized Partial-Response Maximum-Likelihood StrategyabstractThe 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 TracksabstractThe 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 |
ICC | 1 |
| 2016 | The rotating-target algorithm for jointly detecting asynchronous tracksabstractTwo-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 |
ICC | 1 |
| 2016 | The Rotating-Target Algorithm for Jointly Detecting Asynchronous TracksabstractTwo-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 |