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Nonlinear Modeling for Super-RENS Disc Using a Simplicial Canonical Piecewise-Linear Adaptive Filter

机译:使用简单典范分段线性自适应滤波器的Super-RENS光盘非线性建模

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摘要

A correct and accurate model of an optical storage system is very important in the development and performance evaluation of various data detection algorithms. In this paper, we present a nonlinear modeling of a super-resolution near-field structure (super-RENS) read-out signal using the simplicial canonical piecewise-linear (SCPWL) model. The validity of this model is tested using radio frequency (RF) signal samples obtained from a super-RENS disc. The experiment results on modeling indicate that the SCPWL model can be efficiently utilized for the nonlinear modeling of the super-RENS systems.
机译:在各种数据检测算法的开发和性能评估中,正确的光学存储系统模型非常重要。在本文中,我们提出了使用简单规范分段线性(SCPWL)模型的超分辨率近场结构(super-RENS)读出信号的非线性建模。使用从超级RENS光盘获得的射频(RF)信号样本测试该模型的有效性。建模实验结果表明,SCPWL模型可以有效地用于super-RENS系统的非线性建模。

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