Discrete-time signal processing (2nd ed.)
Discrete-time signal processing (2nd ed.)
Efficient algorithms for discrete time-frequency distributions
ACC'08 Proceedings of the WSEAS International Conference on Applied Computing Conference
A New Discrete Analytic Signal for Reducing Aliasing in the Discrete Wigner-Ville Distribution
IEEE Transactions on Signal Processing
An overview of aliasing errors in discrete-time formulations oftime-frequency representations
IEEE Transactions on Signal Processing
Shift covariant time-frequency distributions of discrete signals
IEEE Transactions on Signal Processing
EURASIP Journal on Advances in Signal Processing - Special issue on recent advances in theory and methods for nonstationary signal analysis
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Computation of a time-frequency distribution (TFD) requires a discrete version of the continuous distribution. This discrete TFD (DTFD) should be free from aliasing and conserve all the important mathematical properties of the continuous distribution. Existing DTFD definitions, however, poorly approximate this ideal. One popular definition, the generalized DTFD (GDTFD), is alias free but does not retain all the desirable properties from the continuous distribution. Another definition, the so-called alias-free GDTFD (AF-GDTFD), retains most properties yet is not always alias free. We propose a new DTFD definition, based on the GDTFD, that retains all desirable properties and is always alias free.