Title :
A tutorial overview of modern spectral estimation
Author :
Marple, S. Lawrence, Jr.
Author_Institution :
ARCO Power Technol. Inc., Washington, DC, USA
Abstract :
A summary of several modern spectral estimation methods is presented. Most of the methods can be explained in the context of parametric time-series modeling. A few methods involve nonparametric treatment. The techniques discussed include classical spectral estimation, autoregressive (maximum entropy), ARMA (autoregressive moving average), Prony, maximum-likelihood, Pisarenko, and MUSIC methods. Many of the techniques have fast computational algorithms, making them viable for real-time applications. The tutorial concludes with a commentary concerning current spectral estimation research
Keywords :
filtering and prediction theory; spectral analysis; ARMA; MUSIC; Pisarenko; Prony; autoregressive moving average; fast computational algorithms; maximum entropy; maximum-likelihood; parametric time-series modeling; real-time applications; spectral estimation; Context modeling; Doppler radar; Frequency; Maximum likelihood estimation; Multiple signal classification; Performance analysis; Random processes; Signal resolution; Spectral analysis; Tutorial;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1989. ICASSP-89., 1989 International Conference on
Conference_Location :
Glasgow
DOI :
10.1109/ICASSP.1989.266889