Multitaper marginal time-frequency distributions
Signal Processing
Multiple STFT-based approach for chaos detection in oscillatory circuits
Signal Processing
Instantaneous spectrum estimation of event-based densities
EURASIP Journal on Applied Signal Processing
Localization in underwater dispersive channels using the time-frequency-phase continuity of signals
IEEE Transactions on Signal Processing
Digital Signal Processing
Optimization of weighting factors for multiple window spectrogram of event-related potentials
EURASIP Journal on Advances in Signal Processing - Special issue on applications of time-frequency signal processing in wireless communications and bioengineering
EURASIP Journal on Advances in Signal Processing - Special issue on recent advances in theory and methods for nonstationary signal analysis
Time-frequency analysis of signals using support adaptive Hermite-Gaussian expansions
Digital Signal Processing
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A multiwindow method for generating a time-varying spectrum of nonstationary signals is presented The time-varying spectrum is computed from an optimally weighted average of multiple orthogonal windowed spectrograms. The weights are determined using linear least squares estimation with respect to a reference time-frequency distribution. Examples are provided, with performance criteria measures, to demonstrate and quantify the effectiveness of the method