DocumentCode
1092405
Title
High resolution spectral estimation for noisy signals
Author
Kaveh, M.
Author_Institution
Minnesota University, Minneapolis, MN, USA
Volume
27
Issue
3
fYear
1979
fDate
6/1/1979 12:00:00 AM
Firstpage
286
Lastpage
287
Abstract
A spectral model containing poles and zeros is derived for the high resolution spectral estimation of data containing an auto-regressive (all-pole) signal, interference, and white noise. A computationally efficient method for computing the spectrum is introduced. Examples of some spectra calculated by this method are presented and compared with the autoregressive spectral estimator.
Keywords
Additive noise; Autocorrelation; Interference; Narrowband; Poles and zeros; Signal analysis; Signal resolution; Signal to noise ratio; White noise; Wideband;
fLanguage
English
Journal_Title
Acoustics, Speech and Signal Processing, IEEE Transactions on
Publisher
ieee
ISSN
0096-3518
Type
jour
DOI
10.1109/TASSP.1979.1163243
Filename
1163243
Link To Document