Online tracking of the degree of nonlinearity within complex signals

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

Volumn , Issue , 2008, Pages 2061-2064

  Mandic, Danilo P ^a   Vayanos, Phebe ^a   Javidi, Soroush ^a   Jelfs, Beth ^a   Aihara, Kazuyuki ^b  

^a IMPERIAL COLLEGE LONDON   (United Kingdom)

^b UNIVERSITY OF TOKYO   (Japan)

Author keywords

Adaptive signal processing; Complex LMS; Convex optimisation; Machine learning; Wind modelling

Indexed keywords

ADAPTIVE SIGNAL PROCESSING; COMPLEX LMS; CONVEX OPTIMISATION; MACHINE LEARNING; WIND MODELLING;

ACOUSTICS; DISTRIBUTED COMPUTER SYSTEMS; SPEECH;

SIGNAL PROCESSING;

EID: 51449113379     PISSN: 15206149     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICASSP.2008.4518046     Document Type: Conference Paper

References (7)

1. D.P Mandic, M Golz, A Kuh, D Obradovic, and T Tanaka, Eds., Signal Processing Techniques for Knowledge Extraction and Information Fusion, Springer, 2007.
2. P. Vayanos, S.L. Goh, and D.P. Mandic, "Online detection of the nature of complex-valued signals," in Proceedings of the 16th IEEE Signal Processing Society Workshop on Machine Learning for Signal Processing, 2006, pp. 173-178.
3. J. Arenas-Garcia, A.R. Figueiras-Vidal, and A.H. Sayed, "Mean-square performance of a convex combination of two adaptive filters," IEEE Transactions on Signal Processing, vol. 54, no. 3, pp. 1078-1090, 2006.
4. D. Mandic, P. Vayanos, C. Boukis, B. Jelfs, S.L. Goh, T. Gautama, and T. Rutkowski, "Collaborative adaptive learning using hybrid filters," in ICASSP 2007, 2007, vol. 3, pp. 921-924.
5. D.P. Mandic and S.L. Goh, Complex Valued Nonlinear Adaptive Filters: A Neural Network Approach, John Wiley, 2008 (to be published).
6. B. Widrow, J. McCool, and M. Ball, "The complex LMS algorithm," Proceedings of the IEEE, vol. 63, no. 4, pp. 719-720, 1975.
7. K.S. Narendra and K. Parthasarathy, "Identification and control of dynamical systems using neural networks," IEEE Transactions on Neural Networks, vol. 1, no. 1, pp. 4-27, 1990.