By Topic

Spectral Estimation from Irregularly Spaced Data

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
$31 $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

1 Author(s)
Thompson, R.O.R.Y. ; Woods Hole Oceanographic Institution, Woods Hole, Mass.

Observational data often is irregularly taken or has large gaps due to instrument failure or other real world effects. Yet no spectral estimation theory in use allows one, without dubious interpolation, to estimate spectra from an irregularly sampled signal, nor to combine pieces of record to estimate power at periods longer than the longest piece. A natural extension of conventional complex demodulation is proposed and illustrated for estimating auto- and cross-spectra. The sampling times can be randomly spaced and need not even be in order. The method reduces to the usual method when the data are equally spaced.

Published in:

Geoscience Electronics, IEEE Transactions on  (Volume:9 ,  Issue: 2 )