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 …
Architecture Optimization of a CNN Media Noise Estimator for TDMR
We investigate several architectures for a convolutional neural network (CNN) media noise
estimator (MNE) that sends media noise estimates to a three-track Bahl–Cocke–Jelenik …
estimator (MNE) that sends media noise estimates to a three-track Bahl–Cocke–Jelenik …
[BOOK][B] Efficient Deep Learning-Based Equalization and Detection Systems for Digital Communications
AMAFE Aboutaleb - 2021 - search.proquest.com
This first part of this dissertation considers the problem of equalization and detection for
multilayer magnetic recording (MLMR) comprising two layers. To this end, we use MLMR …
multilayer magnetic recording (MLMR) comprising two layers. To this end, we use MLMR …
[BOOK][B] Deep Learning-Based Turbo-Detection and Equalization for Two-and Three-Dimensional Magnetic Recording
A Sayyafan - 2022 - search.proquest.com
DEEP LEARNING-BASED TURBO-DETECTION AND EQUALIZATION FOR TWO- AND
THREE-DIMENSIONAL MAGNETIC RECORDING By AMIRHOSSEIN SAYYAFAN A Page 1 …
THREE-DIMENSIONAL MAGNETIC RECORDING By AMIRHOSSEIN SAYYAFAN A Page 1 …