@inproceedings{3469d880403c4051aa58f3c0128a17c4,
title = "Wavelet network with hybrid algorithm to linearize high power amplifiers",
abstract = "This paper propose a linearizing scheme based on wavelet networks to reduce nonlinear distortion introduced by a high power amplifier over 256QAM signals. Parameters of the proposed linearizer are estimated by using a hybrid algorithm, namely least square and gradient descent. Computer simulation results confirm that once the 256QAM signals are amplified at an input back off level of 0 dB, there is a reduction of 29 dB spectrum re-growth. In addition proposed linearizing scheme has a low complexity and fast convergence.",
keywords = "Digital modulation, Linearizing, Power amplifier, Wavelet network",
author = "Nibaldo Rodriguez and Claudio Cubillos",
year = "2007",
doi = "10.1007/978-3-540-74913-4_102",
language = "English",
isbn = "9783540749127",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "1016--1023",
booktitle = "Advances in Artificial Life - 9th European Conference, ECAL 2007, Proceedings",
note = "null ; Conference date: 10-09-2007 Through 14-09-2007",
}