Title :
Performance of a signal-dependent autoregressive channel model
Author :
Stander, Jennifer ; Patapoutian, Ara
Author_Institution :
Quantum Corp., Shrewsbury, MA, USA
fDate :
9/1/2000 12:00:00 AM
Abstract :
Recently, work has been published on a channel model that employs signal-dependent autoregressive filters to accurately and efficiently model signal nonlinearities and media noise characteristics, such as signal-dependence and correlation, which are common in magnetic recording signals. This paper evaluates the model´s performance using 42 sets of spin-stand data that cover a large range of head/media manufacturers and operating points
Keywords :
autoregressive processes; digital magnetic recording; magnetic recording noise; autoregressive filters; head/media manufacture; magnetic recording signals; media noise characteristics; operating points; signal nonlinearities; signal-dependent autoregressive channel model; spin-stand data; Computational modeling; Equations; Filters; Magnetic heads; Magnetic noise; Magnetic recording; Magnetic separation; Pulp manufacturing; Signal generators; Virtual manufacturing;
Journal_Title :
Magnetics, IEEE Transactions on
