Trigonometric decomposition of time-frequency distribution kernels.

Trigonometric decomposition of the time-frequency distribution (TFD) kernels refers to representing each row of the kernel in the time time-lag domain by a finite number of cosinusoidal terms. This allows the local autocorrelation function to be recursively updated, yielding a computationally efficient TFD. Unlike the spectogram decomposition, where the t-f desirable properties are compromised, the proposed trigonometric decomposition preserved both the support and marginal properties and permits data-dependent kernel design.

Main Author:	Amin, Moeness G.
Other Authors:	Venkatsan, Gopal T.
Language:	English
Published:	1998
Online Access:	http://ezproxy.villanova.edu/login?url=https://digital.library.villanova.edu/Item/vudl:173774