By Topic

Parameter estimation of exponentially damped sinusoids using higher order statistics

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
C. K. Papadopoulos ; Northeastern Univ., Boston, MA, USA ; C. L. Nikias

A new approach for the estimation of the parameters of exponentially damped sinusoids is introduced based on third- or fourth-order statistics of the observation signal. The method may be seen as an extension of the minimum norm principal eigenvectors method to higher order statistics domains. The strong points and limitations of the method are discussed as well as sufficient conditions for the existence of the solution. The utilization of the method in the case of finite length signals in the presence of additive Gaussian noise (white or colored) is addressed. Monte Carlo simulations demonstrate the effectiveness of the new method when the additive noise is colored Gaussian with unknown autocorrelation sequence for different signal-to-noise ratios and a single data record. The case of an ensemble of data records is studied when the exponentially damped sinusoids are assumed to have random phase

Published in:

IEEE Transactions on Acoustics, Speech, and Signal Processing  (Volume:38 ,  Issue: 8 )