Deep neural network based media noise predictors for use in high-density magnetic recording turbo-detectors

A Sayyafan, BJ Belzer, K Sivakumar… - IEEE Transactions …, 2019 - ieeexplore.ieee.org
This article presents a combined Bahl-Cocke-Jelinek-Raviv (BCJR) and deep neural
network (DNN) turbo-detection architecture for 1-D hard disk drive (HDD) magnetic …

Deep Neural Network a Posteriori Probability Detector for Two-Dimensional Magnetic Recording

J Shen, A Aboutaleb, K Sivakumar… - IEEE Transactions …, 2020 - ieeexplore.ieee.org
In two-dimensional magnetic recording (TDMR) channels, intersymbol interference (within
and between tracks) and patterndependent media noise are impediments to reaching higher …

Deep neural network media noise predictor turbo-detection system for 1-D and 2-D high-density magnetic recording

A Sayyafan, A Aboutaleb, BJ Belzer… - IEEE Transactions …, 2020 - ieeexplore.ieee.org
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 …

Three-dimensional magnetization needle arrays with controllable orientation

J Luo, H Zhang, S Wang, L Shi, Z Zhu, B Gu, X Wang… - Optics letters, 2019 - opg.optica.org
Based on the Richards–Wolf vectorial diffraction theory and inverse Faraday effect, we first
propose a scheme to generate three-dimensional magnetization needle (MN) arrays with …

Improved multitrack detection with hybrid 2-D equalizer and modified Viterbi detector

Y Wang, BVKV Kumar - IEEE Transactions on Magnetics, 2017 - ieeexplore.ieee.org
Increasing track density in magnetic recording systems increases inter-track interference
(ITI). One way to handle the increased ITI is to apply 2-D equalization to the signals from …

Turbo-detection for multilayer magnetic recording using deep neural network-based equalizer and media noise predictor

A Sayyafan, A Aboutaleb, BJ Belzer… - IEEE Transactions …, 2021 - ieeexplore.ieee.org
This article considers deep neural network (DNN)-based turbo-detection for multilayer
magnetic recording (MLMR), an emerging hard disk drive (HDD) technology that uses …

Multitrack detection with 2D pattern-dependent noise prediction

S Shi, JR Barry - 2018 IEEE International Conference on …, 2018 - ieeexplore.ieee.org
The advent of multiple readers in magnetic recording opens the door to multitrack detection,
in which multiple tracks are detected jointly. Multitrack detection is a key enabler for both …

ISI/ITI turbo equalizer for TDMR using trained local area influence probabilistic model

X Sun, J Shen, BJ Belzer, K Sivakumar… - IEEE Transactions …, 2019 - ieeexplore.ieee.org
In this paper, a local area influence probabilistic (LAIP) detector for estimating magnetic
grain interactions with coded data bits in two-dimensional magnetic recording is combined …

Multihead multitrack detection for next generation magnetic recording, part I: Weighted sum subtract joint detection with ITI estimation

B Fan, HK Thapar, PH Siegel - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
Multitrack detection with array-head reading is a promising technique proposed for next
generation magnetic storage systems. The multihead multitrack (MHMT) system is …

Multitrack detection with 2-D iterative soft estimate aided neural network equalizer for heat-assisted interlaced magnetic recording

Y Li, Y Wang, Y Xu, L Chen, Y Wen… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Heat-assisted interlaced magnetic recording (HIMR) with interlaced track layout architecture
enables the further increased areal density compared to the conventional heat-assisted …