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

Wei Gao; Jie Chen; Cédric Richard; José Carlos M. Bermudez; Jianguo Huang

ICASSP 2015accepted0 citations

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

Wei Gao, Jie Chen, Cédric Richard, José Carlos M. Bermudez, Jianguo Huang

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.

BibTeX

@inproceedings{icassp2015_convergenceanaly,
  title = {Convergence analysis of the augmented complex klms algorithm with pre-tuned dictionary},
  author = {Wei Gao and Jie Chen and Cédric Richard and José Carlos M. Bermudez and Jianguo Huang},
  booktitle = {ICASSP 2015},
  year = {2015}
}