A High Resolution Data-Adaptive Time-Frequency Representation

Douglas L. Jones, Thomas W. Parks

Research output: Contribution to journalArticlepeer-review


This article develops a data-adaptive time-frequency representation 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 representation 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 expensive computationally, but may provide much better performance than any currently known technique.

Original languageEnglish (US)
Pages (from-to)2127-2135
Number of pages9
JournalIEEE Transactions on Acoustics, Speech, and Signal Processing
Issue number12
StatePublished - Dec 1990
Externally publishedYes

ASJC Scopus subject areas

  • Signal Processing


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