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Local Polynomial Fitting with Long-Memory, Short-Memory and Antipersistent Errors
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Beran, Jan, Feng, Yuanhua
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The light-emitting diode (LED) is the major source of nonlinearity in LED communications, and the nonlinearity needs to be effectively modeled and mitigated to avoid the degradation of communication performance.
Weikang Zhao +5 more
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Polynomial decay to thermoelastic plates with memory [PDF]
We consider the linear model of thermoelastic plates with memory and we show that the solution decays polynomially with rates that depend on the regularity of the initial data.
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Square-rich fixed point polynomial evaluation on FPGAs [PDF]
Polynomial evaluation is important across a wide range of application domains, so significant work has been done on accelerating its computation. The conventional algorithm, referred to as Horner's rule, involves the least number of steps but can lead to
McLoughlin, Ian V. +5 more
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Broadband angle of arrival estimation methods in a polynomial matrix decomposition framework [PDF]
A large family of broadband angle of arrival estimation algorithms are based on the coherent signal subspace (CSS) method, whereby focussing matrices appropriately align covariance matrices across narrowband frequency bins.
Weiss, Stephan +4 more
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A Hybrid Memory Polynomial Digital Predistortion Model for Rf Transmitters
Jijun Ren, Ziyang Xu, Xing Wang
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Polynomial asymptotic stability of damped stochastic differential equations. [PDF]
The paper studies the polynomial convergence of solutions of a scalar nonlinear Itˆo stochastic differential equation dX(t) = −f(X(t)) dt + (t) dB(t) where it is known, a priori, that limt!1 X(t) = 0, a.s. The intensity of the stochastic perturbation
D. Mackey +3 more
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Behavioral Modeling and Predistortion of Dual-Band Power Amplifiers
Dual-band power amplifiers (PAs) are essential components in modern wireless communication systems. Compared to single band PAs, dual-band PAs enable efficient utilization of spectrum resources with lower capital and operational expenses.
Majid Ahmed +4 more
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Polynomial Cointegration among Stationary Processes with Long Memory [PDF]
n this paper we consider polynomial cointegrating relationships among stationary processes with long range dependence. We express the regression functions in terms of Hermite polynomials and we consider a form of spectral regression around frequency zero.
Marinucci, Domenico, Avarucci, Marco
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Note on the smallest root of the independence polynomial [PDF]
One can define the independence polynomial of a graph G as follows. Let i(k)(G) denote the number of independent sets of size k of G, where i(0)(G) = 1. Then the independence polynomial of G is I(G,x) = Sigma(n)(k=0)(-1)(k)i(k)(G)x(k).
Csíkvári, Péter
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