Title :
High resolution spectral estimation for noisy signals
Author_Institution :
Minnesota University, Minneapolis, MN, USA
fDate :
6/1/1979 12:00:00 AM
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;
Journal_Title :
Acoustics, Speech and Signal Processing, IEEE Transactions on
DOI :
10.1109/TASSP.1979.1163243
