Deep Neural Network a Posteriori Probability Detector for Two-Dimensional Magnetic Recording
In two-dimensional magnetic recording (TDMR) channels, intersymbol interference (within
and between tracks) and patterndependent media noise are impediments to reaching higher …
and between tracks) and patterndependent media noise are impediments to reaching higher …
Deep neural network-based detection and partial response equalization for multilayer magnetic recording
To increase the storage capacity limit of magnetic recording channels, recent studies
proposed multilayer magnetic recording (MLMR): the vertical stacking of magnetic media …
proposed multilayer magnetic recording (MLMR): the vertical stacking of magnetic media …
Deep neural network media noise predictor turbo-detection system for 1-D and 2-D high-density magnetic recording
This article presents a concatenated Bahl-Cocke-Jelinek-Raviv (BCJR) detector, low-density
parity-check (LDPC) decoder, and deep neural network (DNN) architecture for a turbo …
parity-check (LDPC) decoder, and deep neural network (DNN) architecture for a turbo …
Track misregistration mitigation using CNN-based method on single-reader/two-track reading bpmr systems
K Kankhunthod, C Warisarn - IEEE Access, 2023 - ieeexplore.ieee.org
One of the problems that cause a decrease in the performance of the ultra-high bit-patterned
magnetic recording (BPMR) system is track misregistration (TMR). Since the gap between …
magnetic recording (BPMR) system is track misregistration (TMR). Since the gap between …
Turbo-detection for multilayer magnetic recording using deep neural network-based equalizer and media noise predictor
This article considers deep neural network (DNN)-based turbo-detection for multilayer
magnetic recording (MLMR), an emerging hard disk drive (HDD) technology that uses …
magnetic recording (MLMR), an emerging hard disk drive (HDD) technology that uses …
[HTML][HTML] Double-layer magnetic recording with multilayer perceptron decoder for single-reader/two-track reading in BPMR systems
To expand an areal density of hard disk drives, bit-patterned magnetic recording (BPMR)
using a patterned medium instead of a granular medium as employed in perpendicular …
using a patterned medium instead of a granular medium as employed in perpendicular …
Convolutional neural network based symbol detector for two-dimensional magnetic recording
Data detection in magnetic recording (MR) channels can be viewed as an image processing
problem, proceeding from the 2-D image of readback bits, to higher level abstractions of …
problem, proceeding from the 2-D image of readback bits, to higher level abstractions of …
Convolutional neural network-based media noise prediction and equalization for TDMR turbo-detection with write/read TMR
This article considers a turbo-detection system that includes a convolutional neural network
(CNN)-based equalizer, a Bahl-Cocke-Jelinek-Raviv (BCJR) trellis detector, a CNN-based …
(CNN)-based equalizer, a Bahl-Cocke-Jelinek-Raviv (BCJR) trellis detector, a CNN-based …
CNN-based machine learning channel on TDMR drive data
Y Qin, P Bellam, R Galbraith, W Hanson… - IEEE Transactions …, 2021 - ieeexplore.ieee.org
In this article, we demonstrate a convolutional neural network (CNN)-based data detection
channel on real data from a commercial hard disk drive (HDD) employed with two …
channel on real data from a commercial hard disk drive (HDD) employed with two …
[HTML][HTML] A perspective on deep neural network-based detection for multilayer magnetic recording
This paper describes challenges, solutions, and prospects for data recovery in multilayer
magnetic recording (MLMR)—the vertical stacking of magnetic media layers to increase …
magnetic recording (MLMR)—the vertical stacking of magnetic media layers to increase …