Time--frequency feature representation using energy concentration: An overview of recent advances
Digital Signal Processing
A new class of multilinear functions for polynomial phase signal analysis
IEEE Transactions on Signal Processing
Techniques to obtain good resolution and concentrated time-frequency distributions: a review
EURASIP Journal on Advances in Signal Processing
EURASIP Journal on Advances in Signal Processing
EURASIP Journal on Advances in Signal Processing
Robust time-frequency distributions with complex-lag argument
EURASIP Journal on Advances in Signal Processing - Special issue on robust processing of nonstationary signals
Time-frequency analysis and its application in digital watermarking
EURASIP Journal on Advances in Signal Processing - Special issue on time-frequency analysis and its applications to multimedia signals
Validity-guided fuzzy clustering evaluation for neural network-based time-frequency reassignment
EURASIP Journal on Advances in Signal Processing - Special issue on time-frequency analysis and its applications to multimedia signals
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A distribution highly concentrated along the group delay or the instantaneous frequency (IF) is presented. It has been defined by introducing a signal with a complex argument in time-frequency (TF) analysis. Realization of a signal with a complex argument, using a signal with a real argument, is described. The reduced interference realization of the complex argument distribution, in the case of multicomponent signals, is presented. The proposed distribution is used for the IF estimation. It is shown that the estimation can be improved with respect to the Wigner distribution based one since the bias can be significantly reduced with only a slight increase of the variance. The theory is illustrated by examples