Chaos detection in chaotic systems with large number of components in spectral domain

Signal Processing

Volumn 88, Issue 9, 2008, Pages 2357-2362

  Djurović, Igor ^a   Rubežić, Vesna ^a  

^a UNIVERSITY OF MONTENEGRO   (Montenegro)

Author keywords

Chaos detection; Short time Fourier transform; Time frequency representations

Indexed keywords

CHAOS DETECTION; SHORT TIME FOURIER TRANSFORMS; SPECTRAL DOMAIN; TIME FREQUENCY REPRESENTATIONS;

DIGITAL SIGNAL PROCESSING; FOURIER TRANSFORMS; NATURAL FREQUENCIES; OSCILLATORS (ELECTRONIC); SPURIOUS SIGNAL NOISE;

CHAOTIC SYSTEMS;

EID: 44649175141     PISSN: 01651684     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.sigpro.2008.03.003     Document Type: Article

References (8)

1. Rubežić V., Djurović I., and Daković M. Time-frequency representations based detector of chaos in oscillatory circuits. Signal Processing 86 9 (September 2006) 2255-2270
2. Kennedy M.P. Chaos in the Colpitts oscillator. IEEE Trans. Circ. Syst. I 41 11 (November 1994) 771-774
3. Sprott J.C. Chaos and Time-Series Analysis (2003), Oxford University Press, New York
4. Boashash B. Time-frequency Signal Analysis and Applications (2003), Elsevier, Amsterdam
5. Djurović I., and Rubežić V. Multiple STFT-based approach for chaos detection in oscillatory circuits. Signal Processing 87 7 (July 2007) 1772-1780
6. Donoho D.L., and Johnstone I.M. Adapting to unknown smoothness via wavelet shrinkage. J. Amer. Statist. Assoc. 90 432 (1995) 1200-1224
7. Stankovic L.J., Ivanovic V.N., and Petrovic Z. Unified approach to the noise analysis in the Spectrogram and Wigner distribution. Anna. Telecomm. 51 11/2 (November/December 1996) 585-594
8. Katkovnik V., and Stanković L.J. Instantaneous frequency estimation using the Wigner distribution with varying and data driven window length. IEEE Trans. Signal Process. 46 9 (September 1998) 2315-2325