Srinivasa, N and Ramakrishnan, KR and Rajgopal, K (1992) On Two-Dimensional Maximum Entropy Spectral Estimation. In: IEEE Transactions on Signal Processing, 40 (1). pp. 241-244.
A novel method of two-dimensional (2-D) spectral estimation, which we introduced recently using the Radon transform and a one dimensional (1-D) autoregressive model, led us to investigate the maximization of entropy subject to the correlation matching constraints in the Radon space. Instead of solving the 2-D maximum entropy spectral estimation problem, we convert it into a problem which is easier to solve. It is shown that a radial slice of the 2-D ME spectrum can be obtained by 1-D 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 2-D ME spectra on a polar raster are discussed.
|Item Type:||Journal Article|
|Additional Information:||Copyright 1990 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.|
|Department/Centre:||Division of Electrical Sciences > Electrical Engineering|
|Date Deposited:||25 Aug 2008|
|Last Modified:||19 Sep 2010 04:27|
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