Signal Processing - Special issue on current topics in adaptive filtering for hands-free acoustic communication and beyond
IF estimation using higher order TFRs
Signal Processing
Auto-term representation by the reduced interference distributions: a procedure for kernel design
IEEE Transactions on Signal Processing
Time-frequency distributions with complex argument
IEEE Transactions on Signal Processing
Design of higher order polynomial Wigner-Ville distributions
IEEE Transactions on Signal Processing
Generalized Representation of Phase Derivatives for Regular Signals
IEEE Transactions on Signal Processing
High spectral resolution time-frequency distribution kernels
IEEE Transactions on Signal Processing
Time-Frequency ARMA Models and Parameter Estimators for Underspread Nonstationary Random Processes
IEEE Transactions on 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
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 applications of time-frequency signal processing in wireless communications and bioengineering
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 class of time-frequency distributions with complex-lag argument is proposed. It is based on the ambiguity domain representations of real and complex-lag moment, combined to provide a cross-terms free representation for multicomponent signals. Furthermore, the distributions from the proposed class provide a more effective instantaneous frequency estimation for signals with fast varying phase function than the existing approach. The theory is illustrated by the examples.