Results 291 to 300 of about 2,127,275 (322)

Combined memory polynomial model for Doherty power amplifiers with memory effects

2012 International Conference on Microwave and Millimeter Wave Technology (ICMMT), 2012
This paper presents a combined memory polynomial model for Doherty power amplifiers with memory effects. The model combines the memory polynomial model with an envelope memory term. Levenberg-Marquardt Method is applied to estimate the model parameters.
Jianfeng Zhai, Lei Zhang, Jing Xia, Jianyi Zhou, Xiaowei Zhu, Wei Hong   +5 more
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Parallel univariate polynomial factorization on shared-memory multiprocessors

Proceedings of the international symposium on Symbolic and algebraic computation, 1990
Using parallelism afforded by shared-memory multiprocessors to speed up systems for polynomial factorization is discussed. The approach is to take the fastest known factoring algorithm for practical purposes and parallelize key parts of it. The univariate factoring algorithm consists of two major tasks (a) factoring modulo small integer primes and (b ...
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Memory polynomial digital predistortion for power amplifiers

2007 International Symposium on Communications and Information Technologies, 2007
Due to the development of wireless communication systems, the linearity requirement of power amplifiers (PAs) is very stringent. A new concept was proposed to model a predistorter directly without modeling a PA firstly. The algorithm can not only improve the linearity of amplifier, but also adjust the gain of PAs dependently.
null Cuiping Yu, null Yongsheng Feng, null Yuanan Liu, null Gang Xie   +3 more
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A Stable Recursive Algorithm for Memory Polynomial Predistorter

MILCOM 2007 - IEEE Military Communications Conference, 2007
The memory polynomial model has been used for predistorter design, which will result in numerical instabilities when higher order terms are included. In this paper, basing on least square estimation, a recursive algorithm for indirect learning structure predistorter is introduced. Simulation results show that higher order (higher than 7th-order) memory
Xu Lingjun, Wu Xiaoguang, Zhang Min, Kang Guixia, Zhang Ping   +4 more
openaire   +1 more source

A New Predistorter Based on Memory Polynomials and LUT

2005 IEEE International Symposium on Microwave, Antenna, Propagation and EMC Technologies for Wireless Communications, 2006
Digital base band predistortion is a highly cost-effective way to linearize PAs, but the existing architectures assume that the PA has a memory less nonlinearity. For wideband application, such as DVB-T (digital video broadcasting-terrestrial) system, PA memory effects can no longer be ignored.
null Yong Liu, null Hui Li, null Zhaowu Chen   +2 more
openaire   +1 more source

A PSO Based Memory Polynomial Predistorter With Embedded Dimension Estimation

IEEE Transactions on Broadcasting, 2013
Power amplifiers are widely used in RF broadcasting applications. However, they tend to exhibit nonlinear behavior that distorts the input signals both in the time and frequency domains, consequently motivating the development of techniques, such as digital predistortion, which can counteract this behavior.
Abubakr Hassan Abdelhafiz, Oualid Hammi, Azzedine Zerguine, Ali T. Al-Awami, Fadhel M. Ghannouchi   +4 more
openaire   +2 more sources

A Robust Digital Baseband Predistorter Constructed Using Memory Polynomials

IEEE Transactions on Communications, 2004
Power amplifiers (PAs) are inherently nonlinear devices and are used in virtually all communications systems. Digital baseband predistortion is a highly cost-effective way to linearize PAs, but most existing architectures assume that the PA has a memoryless nonlinearity.
Lei Ding 0001, Guo Tong Zhou, Dennis R. Morgan, Zhengxiang Ma, J. Stevenson Kenney, Jaehyeong Kim, Charles R. Giardina   +6 more
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Frequency Identification of a Memory Polynomial Model for PA Modeling

2022 IEEE International Instrumentation and Measurement Technology Conference (I2MTC), 2022
Stanislas Dubois, Bruno Lelong, Jean-Michel Hode, Guillaume Ferré, Dominique Dallet   +4 more
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Polynomial approximations to functionals in the theory of materials with memory

Zeitschrift für angewandte Mathematik und Physik ZAMP, 1966
Pour une substance dotee de memoire, on peut quelquefois determiner approximativement, d'une maniere utile, la valeur fonctionelle Φ, qui relie l'effort a l'histoire de la doformation, par un polynome aux elements d'un espaceL de formes lineaires sur l'espaceF des histoires.
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Identification of Generalized Memory Polynomials Using Two-Tone Signals

IEEE Transactions on Signal Processing, 2018
This paper shows that the coefficients of a generalized memory polynomial model of a nonlinear device can be estimated by examining the output when the input is a series of two-tone signals. There are several benefits to using two-tone signals rather than noise-like waveforms for system identification, including the relative ease of generating two-tone
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