Abstract

In the hard disk drive (HDD) industry, new technologies are being developed to increase density such as two-dimensional magnetic recording (TDMR). TDMR utilizes 2D signal processing without changes to existing magnetic media to get remarkable density gains [1] . In multilayer magnetic recording (MLMR), an additional magnetic media layer is vertically stacked to a TDMR system to achieve additional density gains [2] , [3] . We study deep neural network (DNN) based methods for equalization and detection for MLMR, using a realistic grain switching probability (GSP) model [4] for generating waveforms.

Full Text

Published Version

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.