By Topic

Resolution of conventional Fourier, autoregressive, and special ARMA methods of spectrum analysis

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

1 Author(s)
L. Marple ; ARGO Systems, Inc., California

The two-sinusoid frequency resolution of conventional Fourier, autoregressive (AR), and a special autoregressive-moving average (ARMA) power spectral density (PSD) estimators is considered in this paper. The conventional Fourier spectrum analysis methods have resolutions which are, on the average, roughly the reciprocal of the observation interval. However, for any particular case of two sinusoids of some initial phases, the resolution may be much greater or much less than the average resolution. The special ARMA PSD estimator can, in principle, perfectly resolve any two sinusoids if the autocorrelation function is perfectly known. The AR spectral estimate has a resolution which varies as a function of signal-to-noise ratio (SNR) from that of the conventional Fourier methods at low SNB to that of the special ARMA method of high SNR. A signal power estimation and a noise power cancellation technique is also presented.

Published in:

Acoustics, Speech, and Signal Processing, IEEE International Conference on ICASSP '77.  (Volume:2 )

Date of Conference:

May 1977