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Kernel synthesis for generalized time-frequency distributions using the method of alternating projections onto convex sets
1994
IEEE Transactions on Signal Processing
Cohen's generalized time-frequency distribution (GTFR) requires the choice of a two-dimensional kernel. The kernel directly affects many performance attributes of the GTFR such as time resolution, frequency resolution, realness, and conformity to time and frequency marginals. A number of different kernels may suffice for a given performance constraint (high-frequency resolution, for example). Interestingly, most sets of kernels satisfying commonly used performance constraints are convex. In
doi:10.1109/78.298273
fatcat:vlx7hhenb5fsllhullmxmqtpty