Testing for nonlinearity in time series: the method of surrogate data
Conference proceedings on Interpretation of time series from nonlinear mechanical systems
Periodogram with varying and data-driven window length
Signal Processing
Time-frequency representations-based detector of chaos in oscillatory circuits
Signal Processing - Signal processing in UWB communications
Multiple window spectrogram and time-frequency distributions
ICASSP '94 Proceedings of the Acoustics, Speech, and Signal Processing,1994. on IEEE International Conference - Volume 04
A method for time-frequency analysis
IEEE Transactions on Signal Processing
Multiple window time-varying spectral analysis
IEEE Transactions on Signal Processing
Highly concentrated time-frequency distributions: pseudo quantumsignal representation
IEEE Transactions on Signal Processing
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This paper deals with the recently proposed detector of chaotic states in nonlinear oscillatory circuits. [V. Rubezic, I. Djurovic, M. Dakovic, Time-frequency representations based detector of chaos in oscillatory circuits, Signal Processing 86(9) (September 2006) 2255-2270]. The detector is based on time-frequency (TF) representations of signals generated by oscillators. It can be realized by using cross-terms free (or reduced) representations such as the short-time Fourier transform (STFT). It has been noticed that its accuracy substantially depends on the applied window width used in the TF representation. The subject of this paper is the accuracy analysis of such detector in the noisy environment with respect to the window width in the TF representation. Based on this analysis a multiple STFT-based approach has been proposed producing better results than its single window counterpart.