A high resolution data-adaptive time-frequency representation

A data-adaptive time-frequency representation is developed that overcomes some limitations of the short-time Fourier transform, while avoiding the cross-terms that make the Wigner distribution and other bilinear representations difficult to interpret. The adaptive time-frequency representations uses Gaussian basis functions but varies their time width and chirp rate with time and frequency to achieve high signal concentration everywhere. A measure of local signal concentration allows fully automated determination of the optimal basis parameters. The adaptive method is computationally expensive, but may provide much better performance than any currently known technique.<
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