Results 21 to 30 of about 23,384 (296)
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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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
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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
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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
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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
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
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Design and Study of Memory Polynomial-based Volterra Hybrid Equalizer
Guangtongxin yanjiu【Objective】The non-linear characteristics of Light Emitting Diodes (LEDs) contribute to the degradation of Bit Error Rate (BER) performance in Visible Light Communication (VLC) systems, particularly in Optical Orthogonal Frequency Division Multiplexing ...
JIA Kejun, LEI Lei, LIN Ying, YU Caihong
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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
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IEEE Access, 2020 In this paper, a software-defined radio (SDR) based transceiver system is designed and implemented on the system-on-chip (SoC) platform, which consists of a high-speed Arm embedded processor and a reconfigurable field-programmable gate array (FPGA).
Nishant Kumar +2 more
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HiPPO: Recurrent Memory with Optimal Polynomial Projections
CoRR, 2020 A central problem in learning from sequential data is representing cumulative history in an incremental fashion as more data is processed. We introduce a general framework (HiPPO) for the online compression of continuous signals and discrete time series by projection onto polynomial bases. Given a measure that specifies the importance of each time step
Albert Gu +4 more
openaire +3 more sources