Automatic extraction of time-frequency skeletons with minimal spanning trees

Authors:
O. Michel;P. Flandrin
Affiliations:
Lab. de Phys., Ecole Normale Superieure de Lyon, France;-
Venue:
ICASSP '00 Proceedings of the Acoustics, Speech, and Signal Processing, 2000. on IEEE International Conference - Volume 01
Year:
2000

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Abstract

Theoretical results have been established in non-parametric entropy estimation, based on asymptotic properties of minimal spanning trees (MST). A new application is proposed for the automatic extraction of time-frequency skeletons in the case of multicomponent chirp-like signals. The proposed method makes use of local maxima of a time-frequency distribution (considered as realizations of a 2D or 3D process), and exploits the efficiency of MSTs for density discrimination and clustering.