An adaptive optimal-kernel time-frequency representation
- 1 January 1993
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- Vol. 4 (15206149) , 109-112 vol.4
- https://doi.org/10.1109/icassp.1993.319606
Abstract
Signal-dependent time-frequency representations perform well for a much wider range of signals than any fixed-kernel distribution. The time-frequency representation presented here, based on a signal-dependent radially Gaussian kernel that adapts over time, tracks signal component variations over time and supports online implementation for signals of arbitrary length. The method uses a short-time ambiguity function for kernel optimization and as an intermediate step in computing constant-time slices of the time-frequency representation. While somewhat more expensive than fixed-kernel representation, this technique often provides much better performance.<>Keywords
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