On two-dimensional maximum entropy spectral estimation

Author

Srinivasa, N. ; Ramakrishnan, K.R. ; Rajgopal, K.

Author_Institution

Dept. of Electr. Eng., Indian Inst. of Sci., Bangalore, India

Volume

40

Issue

1

fYear

1992

fDate

1/1/1992 12:00:00 AM

Firstpage

241

Lastpage

244

Abstract

A novel method of two-dimensional spectral estimation, which the authors introduced recently (1987) using the Radon transform and a one-dimensional autoregressive model (AR), led them to investigate the maximization of entropy subject to the correlation matching constraints in the Radon space. Instead of solving the 2D maximum entropy (ME) spectral estimation problem, the authors convert it into a problem which is easier to solve. It is shown that a radial slice of the 2D ME spectrum can be obtained by 1D AR modeling of the projections (Radon transform) of a stationary random field (SRF). The advantages and limitations of using this new duality relation to estimate the complete 2D ME spectra on a polar raster are discussed

Keywords

entropy; parameter estimation; signal processing; spectral analysis; 2D spectrum; Radon transform; autoregressive model; correlation matching constraints; duality relation; maximum entropy spectral estimation; polar raster; radial slice; signal processing; stationary random field; Cities and towns; Entropy; Information theory; Moon; Signal processing algorithms; Two dimensional displays; Vector quantization;

fLanguage

English

Journal_Title

Signal Processing, IEEE Transactions on

Publisher

ieee

ISSN

1053-587X

Type

jour

DOI

10.1109/78.157205

Filename

157205