Convergence analysis of the augmented complex klms algorithm with pre-tuned dictionary

Wei Gao; Jie Chen; Cedric Richard; Jose Carlos M. Bermudez; Jianguo Huang

doi:10.1109/ICASSP.2015.7178322

Convergence analysis of the augmented complex klms algorithm with pre-tuned dictionary

Wei Gao
, Jie Chen
, Cedric Richard
, Jose Carlos M. Bermudez
, Jianguo Huang

Université Côte d'Azur
Northwestern Polytechnical University Xian
University of Michigan, Ann Arbor
Universidade Federal de Santa Catarina

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

8 Scopus citations

Abstract

Complex kernel-based adaptive algorithms have been recently introduced for complex-valued nonlinear system identification. These algorithms are built upon the same framework as complex linear adaptive filtering techniques and Wirtinger's calculus in complex reproducing kernel Hilbert spaces. In this paper, we study the convergence behavior of the augmented complex Gaussian KLMS algorithm. Simulation results illustrate the accuracy of the analysis.

Original language	English
Title of host publication	2015 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2015 - Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	2006-2010
Number of pages	5
ISBN (Electronic)	9781467369978
DOIs	https://doi.org/10.1109/ICASSP.2015.7178322
State	Published - 4 Aug 2015
Externally published	Yes
Event	40th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2015 - Brisbane, Australia Duration: 19 Apr 2014 → 24 Apr 2014

Publication series

Name	ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
Volume	2015-August
ISSN (Print)	1520-6149

Conference

Conference	40th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2015
Country/Territory	Australia
City	Brisbane
Period	19/04/14 → 24/04/14

Keywords

Kernel adaptive filtering
complex Gaussian kernel
complex RKHS
non-circular data

Access to Document

10.1109/ICASSP.2015.7178322

Cite this

Gao, W., Chen, J., Richard, C., Bermudez, J. C. M., & Huang, J. (2015). Convergence analysis of the augmented complex klms algorithm with pre-tuned dictionary. In 2015 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2015 - Proceedings (pp. 2006-2010). Article 7178322 (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings; Vol. 2015-August). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICASSP.2015.7178322

Gao, Wei ; Chen, Jie ; Richard, Cedric et al. / Convergence analysis of the augmented complex klms algorithm with pre-tuned dictionary. 2015 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2015 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2015. pp. 2006-2010 (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings).

@inproceedings{8414e46858804501bb68e8662d8aa722,

title = "Convergence analysis of the augmented complex klms algorithm with pre-tuned dictionary",

abstract = "Complex kernel-based adaptive algorithms have been recently introduced for complex-valued nonlinear system identification. These algorithms are built upon the same framework as complex linear adaptive filtering techniques and Wirtinger's calculus in complex reproducing kernel Hilbert spaces. In this paper, we study the convergence behavior of the augmented complex Gaussian KLMS algorithm. Simulation results illustrate the accuracy of the analysis.",

keywords = "Kernel adaptive filtering, complex Gaussian kernel, complex RKHS, non-circular data",

author = "Wei Gao and Jie Chen and Cedric Richard and Bermudez, \{Jose Carlos M.\} and Jianguo Huang",

note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; 40th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2015 ; Conference date: 19-04-2014 Through 24-04-2014",

year = "2015",

month = aug,

day = "4",

doi = "10.1109/ICASSP.2015.7178322",

language = "英语",

series = "ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "2006--2010",

booktitle = "2015 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2015 - Proceedings",

}

Gao, W, Chen, J, Richard, C, Bermudez, JCM & Huang, J 2015, Convergence analysis of the augmented complex klms algorithm with pre-tuned dictionary. in 2015 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2015 - Proceedings., 7178322, ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, vol. 2015-August, Institute of Electrical and Electronics Engineers Inc., pp. 2006-2010, 40th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2015, Brisbane, Australia, 19/04/14. https://doi.org/10.1109/ICASSP.2015.7178322

Convergence analysis of the augmented complex klms algorithm with pre-tuned dictionary. / Gao, Wei; Chen, Jie; Richard, Cedric et al.
2015 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2015 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2015. p. 2006-2010 7178322 (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings; Vol. 2015-August).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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PY - 2015/8/4

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AB - Complex kernel-based adaptive algorithms have been recently introduced for complex-valued nonlinear system identification. These algorithms are built upon the same framework as complex linear adaptive filtering techniques and Wirtinger's calculus in complex reproducing kernel Hilbert spaces. In this paper, we study the convergence behavior of the augmented complex Gaussian KLMS algorithm. Simulation results illustrate the accuracy of the analysis.

KW - Kernel adaptive filtering

KW - complex Gaussian kernel

KW - complex RKHS

KW - non-circular data

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Gao W, Chen J, Richard C, Bermudez JCM, Huang J. Convergence analysis of the augmented complex klms algorithm with pre-tuned dictionary. In 2015 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2015 - Proceedings. Institute of Electrical and Electronics Engineers Inc. 2015. p. 2006-2010. 7178322. (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings). doi: 10.1109/ICASSP.2015.7178322

Convergence analysis of the augmented complex klms algorithm with pre-tuned dictionary

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