Authors: Woosik Moon Sungbin Im Taehyung Park
Publish Date: 2014/10/03
Volume: 21, Issue: 5, Pages: 563-567
Abstract
In this study superRENS disc readout signals were modeled with various nonlinear models In the results of modeling the nonlinearity DC offset and domain bloom phenomena of the superRENS channel with a secondorder Volterra filter it was identified that the number of significant quadratic coefficients was relatively small Therefore a sparse Volterra model and a truncated Volterra model are applied to effectively model the nonlinear channel In addition the Hammersteintype asymmetric conversion model is employed to model the nonlinear channel for the purpose of comparison The results demonstrate that the sparse model of a simplified polynomial form achieves good modeling performance for the superRENS disc readout signals
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