DocumentCode
1309942
Title
Cumulant-based LP method for two-dimensional spectral estimation
Author
Gharieb, R.R.
Author_Institution
Assiut Univ., Egypt
Volume
146
Issue
6
fYear
1999
fDate
12/1/1999 12:00:00 AM
Firstpage
307
Lastpage
312
Abstract
A cumulant-based linear prediction (CBLP) method for two-dimensional (2-D) spectral estimation is presented. The main idea of the method is to compute the coefficients of two different single-quadrant prediction filters by applying the LP theory to a selected 2-D fourth-order mixed cumulant slice of the noisy signal. These coefficients are employed in formulating two different autoregressive spectral models. Both spectral models are combined to obtain the desired spectral estimate. The effectiveness of the proposed CBLP method is demonstrated through computer simulation
Keywords
Gaussian noise; filtering theory; higher order statistics; parameter estimation; prediction theory; spectral analysis; 2D fourth-order mixed cumulant; CBLP method; LP theory; autoregressive spectral models; coloured Gaussian noise; complex sinusoids; computer simulation; cumulant-based linear prediction method; noisy signal; single-quadrant prediction filters; two-dimensional spectral estimation;
fLanguage
English
Journal_Title
Vision, Image and Signal Processing, IEE Proceedings -
Publisher
iet
ISSN
1350-245X
Type
jour
DOI
10.1049/ip-vis:19990743
Filename
827265
Link To Document