Efficient algorithms for discrete time-frequency distributions
ACC'08 Proceedings of the WSEAS International Conference on Applied Computing Conference
Algorithms for discrete quadratic time: frequency distributions
WSEAS Transactions on Signal Processing
Improved discrete definition of quadratic time-frequency distributions
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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It is not possible to generate an alias-free discrete Wigner-Ville distribution (DWVD) from a discrete analytic signal. This is because the discrete analytic signal must satisfy two mutually exclusive constraints. We present, in this paper, a new discrete analytic signal that improves on the commonly used discrete analytic signal's approximation of these two constraints. Our analysis shows that - relative to the commonly used signal - the proposed signal reduces aliasing in the DWVD by approximately 50%. Furthermore, the proposed signal has a simple implementation and satisfies two important properties, namely, that its real component is equal to the original real signal and that its real and imaginary components are orthogonal.