Title :
Power spectral density estimation simulation using the maximum entropy method
Author :
Mulally, Dan ; Paik, H.W.
Author_Institution :
Cynetics Corp., Rapid City, SD, USA
Abstract :
This paper presents the results of computer simulations using the maximum entropy method (MEM) for power spectral density estimation. The correlogram method was also compared. The Burg algorithm was shown to be superior for resolving sharp spectral peaks, especially for short sequences. Windowing of the error sequence for the Burg algorithm was shown, in some cases, to significantly reduce the frequency bias of sinusoidal peaks
Keywords :
autoregressive processes; maximum entropy methods; parameter estimation; simulation; spectral analysis; Burg algorithm; computer simulations; correlogram method; error sequence windowing; maximum entropy method; power spectral density estimation; short sequences; Autocorrelation; Cities and towns; Computational modeling; Computer simulation; Entropy; Filters; Frequency; Parameter estimation; Signal to noise ratio; Transfer functions;
Conference_Titel :
Circuits and Systems, 1993., Proceedings of the 36th Midwest Symposium on
Conference_Location :
Detroit, MI
Print_ISBN :
0-7803-1760-2
DOI :
10.1109/MWSCAS.1993.342980
