By Topic

High resolution autoregressive spectrum analysis using noise power cancellation

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)
Marple, L. ; Signal Science, Coronado Drive, Santa Clara, CA

Autoregressive spectrum analysis, alternately known as maximum entropy spectrum analysis, has received much attention as a higher resolution alternative to conventional spectra computed using the modulus of the FFT. This paper examines the relationship of the autoregressive spectrum analysis technique to the Prony and Pisarenko spectral decomposition techniques. The Prony method yields a new signal power estimation procedure for AR spectrum analysis and the Pisarenko method yields a noise power estimation technique for use with AR noise power cancellation spectrum analysis.

Published in:

Acoustics, Speech, and Signal Processing, IEEE International Conference on ICASSP '78.  (Volume:3 )

Date of Conference:

Apr 1978