Results 11 to 20 of about 2,127,275 (322)
IEEE Access, 2022 This paper proposes a novel predistorter architecture suitable for hybrid baseband/RF implementation. The distortion function is split into a memory polynomial and an AM/AM only look-up table (LUT).
Anfal Alsayed Ali +2 more
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Evaluating the Tutte Polynomial for Graphs of Bounded Tree-Width [PDF]
, 1998 It is known that evaluating the Tutte polynomial, $T(G; x, y)$, of a graph, $G$, is $\#$P-hard at all but eight specific points and one specific curve of the $(x, y)$-plane.
Noble, S D
core +7 more sources
Sparse Flexible Reduced-Volterra Model for Power Amplifier Digital Pre-Distortion
IEEE Access, 2022 The Volterra framework plays an important role in digital pre-distortion (DPD) for power amplifier (PA) linearization. In practice, the full-Volterra (FV) model is avoided due to the so-called curse of dimensionality, which has motivated several Volterra
Cyro S. Hemsi, Cristiano M. Panazio
doaj +1 more source
A Sparse Neural Network-Based Power Adaptive DPD Design and Its Hardware Implementation
IEEE Access, 2022 In this paper, an efficient neural-network-based adaptive DPD design which performs well under power varying conditions is presented. The DPD design is derived on the basis of the envelop time-delay neural network (ETDNN).
Masaaki Tanio +2 more
doaj +1 more source
The lack of polynomial stability to mixtures with memory
Boletim da Sociedade Paranaense de Matemática, 2022 We consider the system modeling a mixture of n materials with memory. We show that the corresponding semigroup is exponentially stable if and only if the imaginary axis is contained in the resolvent set of the innitesimal generator. In particular this implies the lack of polynomial stability to the corresponding semigroup.
Leonardo Henry Alejandro Aguilar +2 more
openaire +4 more sources
Efficient Digital Predistortion Using Sparse Neural Network
IEEE Access, 2020 This paper proposes an efficient neural-network-based digital predistortion (DPD), named as envelope time-delay neural network (ETDNN) DPD. The method complies with the physical characteristics of radio-frequency (RF) power amplifiers (PAs) and uses a ...
Masaaki Tanio +2 more
doaj +1 more source
Nonlinear compensation with DBP aided by a memory polynomial [PDF]
Optics Express, 2016 Using digital backpropagation (DBP) based on the split step Fourier method (SSFM) aided by a memory polynomial (MP) model, we demonstrate an improved DBP approach for fiber nonlinearity compensation. The proposed technique (DBP-SSFM&MP) is numerically validated and its performance and complexity are compared against the benchmark DBP-SSFM, considering ...
Gonçalves, João +6 more
openaire +3 more sources
5G-Compatible IF-Over-Fiber Transmission Using a Low-Cost SFP-Class Transceiver
IEEE Access, 2022 With the rise of 5G and beyond, the ever-increasing data-rates demanded by mobile access are severely challenging the capacity of optical fronthaul networks.
Marco A. Fernandes +4 more
doaj +1 more source
Polynomial Cointegration Between Stationary Processes with Long Memory [PDF]
SSRN Electronic Journal, 2007 Abstract. In this article we consider polynomial cointegrating relationships between stationary processes with long range dependence. We express the regression functions in terms of Hermite polynomials and consider a form of spectral regression around frequency zero.
Avarucci, M., MARINUCCI, DOMENICO
openaire +5 more sources
Polynomial cubic splines with tension properties [PDF]
, 2010 In this paper we present a new class of spline functions with tension properties. These splines are composed by polynomial cubic pieces and therefore are conformal to the standard, NURBS based CAD/CAM ...
Costantini, P. +2 more
core +4 more sources