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This paper presents a modified version of the twostep
least-mean-square (LMS)-type adaptive algorithm motivated
by the work of Gazor. We describe the nonstationary adaptation
characteristics of this modified two-step LMS (MG-LMS) algorithm
fo
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Identification and Tracking of Rapidly Time Varying Mobile Channels for Improved Equalization.The goal of this paper is to
investigate the effectiveness of this channel tracking method when applied to rapidly fading channels. It is shown that, by a
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A nonparametric adaptive filtering approach is proposed in this paper. The algorithm is
obtained by exploiting a time-varying step size in the traditional NLMS weight update
equation. The step size is adjusted according to the square of a time-av
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This paper describes a modeling approach for
nonlinear dynamic systems based on a modified Volterra series
by comparing the truncation error of this series with that of the
classical Volterra one, we outlined that, under the assumption of
sh
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This paper presents a comparative study on the
suitability of using Hammerstein or Wiener models to
identify the power amplifier (PA) nonlinear behavior
considering memory effects. This comparative takes into
account the operational complexit
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This paper helps in Blind Identification and Equalization of MIMO
FIR Channels Based on Subspace Decomposition
and Independent Component Analysis
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Signal identification represents the task of a receiver
to identify the signal type and its parameters, with applications
to both military and commercial communications. In this paper,
we investigate the identification of spatial multiplexing (
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identification for PARAFAC Model for DOA estimation applications
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