NDLI: Modeling and adaptive filtering of systems with hysteresis nonlinearities

Content Provider	IEEE Xplore Digital Library
Author	Nobakht, R.A. Ardalan, S.H.
Copyright Year	1992
Description	Author affiliation: IBM Corp., Research Triangle Park, NC, USA (Nobakht, R.A.)
Abstract	The technique introduces a model that can be used effectively for system identification and modeling. The technique includes an order of memory within a nonlinearity element for modeling of hysteresis effects. The nonlinear channel is divided into a memory nonlinearity followed by a dispersive linear system. Assuming that the dispersive linear system is stationary during initialization and the nonlinearity does not change while the dispersive linear system varies with time, the quantized mean field annealing algorithm is applied to obtain the coefficients and the order of the memory of the nonlinearity, and a conventional recursive least squares fast transversal filter (RLS/FTF) is applied to determine the weights of the dispersive linear system. The application of this method to a full duplex digital subscriber loop, is discussed. Significant performance improvements were achieved.<>
Starting Page	813
Ending Page	817
File Size	425405
Page Count	5
File Format	PDF
ISBN	078030599X
DOI	10.1109/ICC.1992.268171
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1992-06-14
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Adaptive filters Hysteresis Dispersion Linear systems System identification Annealing Least squares methods Transversal filters Resonance light scattering DSL
Content Type	Text
Resource Type	Article

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