[图书][B] Coding and signal processing for magnetic recording systems
B Vasic, EM Kurtas - 2004 - taylorfrancis.com
Rapid advances in recording materials, read/write heads, and mechanical designs over the
last 15 years have led to the need for more complicated signal processing, coding, and …
last 15 years have led to the need for more complicated signal processing, coding, and …
29.5- Recording Areal Density on Barium Ferrite Tape
The recording performance of a new magnetic tape based on ultra-fine, perpendicularly-
oriented BaFe particles was investigated. Specifically, using a low lateral tape motion …
oriented BaFe particles was investigated. Specifically, using a low lateral tape motion …
317 Gb/in2 Recording Areal Density on Strontium Ferrite Tape
The recording performance of a new prototype magnetic tape based on perpendicularly
oriented strontium ferrite particles is investigated using a 29 nm wide tunneling …
oriented strontium ferrite particles is investigated using a 29 nm wide tunneling …
Deep neural network based media noise predictors for use in high-density magnetic recording turbo-detectors
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 …
network (DNN) turbo-detection architecture for 1-D hard disk drive (HDD) magnetic …
Breaking the computational bottleneck: Probabilistic optimization of high-memory spatially-coupled codes
Spatially-coupled (SC) codes, known for their threshold saturation phenomenon and low-
latency windowed decoding algorithms, are ideal for streaming applications and data …
latency windowed decoding algorithms, are ideal for streaming applications and data …
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: Data detection channel for hard disk drives by learning
The application of a deep neural network (DNN) as the detection channel for hard disk drive
(HDD) data recovery at high user bit density and the prominent magnetic transition jitter …
(HDD) data recovery at high user bit density and the prominent magnetic transition jitter …
Non-binary LDPC codes for magnetic recording channels: Error floor analysis and optimized code design
In this paper, we provide a comprehensive analysis of the error floor along with code
optimization guidelines for structured and regular non-binary low-density parity-check (NB …
optimization guidelines for structured and regular non-binary low-density parity-check (NB …
Generalized partial response equalization and data-dependent noise predictive signal detection over media models for TDMR
CK Matcha, SG Srinivasa - IEEE Transactions on Magnetics, 2015 - ieeexplore.ieee.org
Two-dimensional magnetic recording (2-D TDMR) is an emerging technology that aims to
achieve areal densities as high as 10 Tb/in 2 using sophisticated 2-D signal-processing …
achieve areal densities as high as 10 Tb/in 2 using sophisticated 2-D signal-processing …
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 …