IEICE TRANSACTIONS on Fundamentals
A Set of Orthogonal Polynomials for Use in Approximation of Nonlinearities in Digital QAM Systems
Summary :
This paper derives a set of orthogonal polynomials for a complex random variable that is uniformly distributed in two dimensions (2D). The polynomials are used in a series expansion to approximate memoryless nonlinearities in digital QAM systems. We also study stochastic identification of nonlinearities using the orthogonal polynomials through analysis and simulations.
- Publication
- IEICE TRANSACTIONS on Fundamentals Vol.E86-A No.3 pp.661-666
- Publication Date
- 2003/03/01
- Publicized
- Online ISSN
- DOI
- Type of Manuscript
- PAPER
- Category
- Digital Signal Processing
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Shin'ichi KOIKE, "A Set of Orthogonal Polynomials for Use in Approximation of Nonlinearities in Digital QAM Systems" in IEICE TRANSACTIONS on Fundamentals,
vol. E86-A, no. 3, pp. 661-666, March 2003, doi: .
Abstract: This paper derives a set of orthogonal polynomials for a complex random variable that is uniformly distributed in two dimensions (2D). The polynomials are used in a series expansion to approximate memoryless nonlinearities in digital QAM systems. We also study stochastic identification of nonlinearities using the orthogonal polynomials through analysis and simulations.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/e86-a_3_661/_p
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@ARTICLE{e86-a_3_661,
author={Shin'ichi KOIKE, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={A Set of Orthogonal Polynomials for Use in Approximation of Nonlinearities in Digital QAM Systems},
year={2003},
volume={E86-A},
number={3},
pages={661-666},
abstract={This paper derives a set of orthogonal polynomials for a complex random variable that is uniformly distributed in two dimensions (2D). The polynomials are used in a series expansion to approximate memoryless nonlinearities in digital QAM systems. We also study stochastic identification of nonlinearities using the orthogonal polynomials through analysis and simulations.},
keywords={},
doi={},
ISSN={},
month={March},}
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TY - JOUR
TI - A Set of Orthogonal Polynomials for Use in Approximation of Nonlinearities in Digital QAM Systems
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 661
EP - 666
AU - Shin'ichi KOIKE
PY - 2003
DO -
JO - IEICE TRANSACTIONS on Fundamentals
SN -
VL - E86-A
IS - 3
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - March 2003
AB - This paper derives a set of orthogonal polynomials for a complex random variable that is uniformly distributed in two dimensions (2D). The polynomials are used in a series expansion to approximate memoryless nonlinearities in digital QAM systems. We also study stochastic identification of nonlinearities using the orthogonal polynomials through analysis and simulations.
ER -
English
