An online method for detecting nonlinearity within a signal

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 4253 LNAI - III, Issue , 2006, Pages 1216-1223

  Jelfs, Beth ^a   Vayanos, Phebe ^a   Mo, Chen ^a   Su, Lee Goh ^a   Boukis, Christos ^b   Gautama, Temujin ^c   Rutkowski, Tomasz ^d   Kuh, Tony ^e   Mandic, Danilo ^a  

^a IMPERIAL COLLEGE LONDON   (United Kingdom)

^b AIT   (Greece)

^c Phillips Research Leuven   (Belgium)

^d RIKEN   (Japan)

^e UNIVERSITY OF HAWAII   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER SIMULATION; CONTROL NONLINEARITIES; DATA REDUCTION; PARAMETER ESTIMATION; SIGNAL PROCESSING;

GENERALIZED NORMALISED GRADIENT DESCENT (GNGD); LEAST MEAN SQUARE (LMS); SIGNAL NONLINEARITY;

ONLINE SYSTEMS;

EID: 33750736368     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11893011_154     Document Type: Conference Paper

References (10)

1. Schreiber, T., Schmitz, A.: Discrimination power of measures for nonlinearity in a time series. Physical Review E 55 (1997) 5443-5447
2. Gautama, T., Mandic, D., Hulle, M.V.: The delay vector variance method for detecting determinism and nonlinearity in time series. Physica D 190 (2004) 167-176
3. Gautama, T., Mandic, D., Hulle, M.V.: Signal nonlinearity in fmri: A comparison between bold and mion. IEEE Transactions on Medical Imaging 22 (2003) 636-644
4. Mizuta, H., Jibu, M., Yana, K.: Adaptive estimation of the degree of system nonlinearity. In: Proceedings IEEE 2000 Adaptive Systems for Signal Processing and Control Symposium (AS-SPCC). (2000) 352-356
5. Figueras-Vidal, A, Arenas-Garcia, J., Sayed, A.: Steady state performance of convex combinations of adaptive filters. In: Proceedings of the International Conference on Acoustics, Speech and Signal Processing (ICASSP'05). Volume 4. (2005) 33-36
6. Kozat, S.S., Singer, A.C.: Multi-stage adaptive signal processing algorithms. In: Proceedings IEEE Sensor Array Multichannel Signal Processing workshop. (2000) 380-384
7. Cichocki, A., Unbehauen, R.: Neural Networks for Optimisation and Signal Processing. Wiley (1993)
8. Widrow, B., Stearns, S.: Adaptive Signal Processing. Prentice-Hall (1985)
9. Mandic, D.: A generalized normalized gradient descent algorithm. IEEE Signal Processing Letters 11 (2004) 115-118
10. Narendra, K., Parthasarathy, K.: Identification and control of dynamical systems using neural networks. IEEE Transactions on Neural Networks 1 (1990) 4-27