DocumentCode :
3071229
Title :
Relationship between maximum-likelihood-method and autoregressive modeling in multidimensional power spectrum estimation
Author :
Dowla, Farid U. ; Lim, Jae S.
Author_Institution :
Massachusetts Institute of Technology
Volume :
9
fYear :
1984
fDate :
30742
Firstpage :
193
Lastpage :
196
Abstract :
Existence of an exact relationship between the maximum likehood method (MLM) and autoregressive (AR) signal modeling in multi-dimensional (m-D) power spectral estimation is shown. For one-dimensional (1-D) uniformly sampled autocorrelation functions (ACF), Burg has shown a relationship between the maximum entropy method (MEM) and MLM spectral estimates. In this note we show a similar relationship between the MLM and AR spectral estimates for m-D (or 1-D) signals sampled non-uniformly or uniformly.
Keywords :
Autocorrelation; Entropy; Equations; Image sensors; Lattices; Milling machines; Multidimensional systems; Predictive models; Sensor arrays; Spectral analysis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech, and Signal Processing, IEEE International Conference on ICASSP '84.
Type :
conf
DOI :
10.1109/ICASSP.1984.1172413
Filename :
1172413
Link To Document :
بازگشت