Srinivasa, N and Ramakrishnan, KR and Rajgopal, K (1987) Two-Dimensional Spectral Estimation: A Radon Transform Approach. In: IEEE Journal of Oceanic Engineering, 12 (1). pp. 90-96.
A new technique for two-dimensional (2-D) spectral estimation of a stationary random field (SRF) is investigated in this paper. This is based on the extension of the Radon transform theory to stationary random fields (SRF's), proposed by Jain and Ansari . Using the Radon transform, the 2-D estimation problem is reduced to a set of one-dimensional (1-D) independent problems, which could then be solved using 1-D linear prediction (LP) or by any other high-resolution estimation procedure. This is unlike previous methods which obtain the 2-D power spectral density (PSD) estimate by using 1-D high-resolution techniques in the spirit of a separable estimator . Examples are provided to illustrate the performance of the new technique. Various features of this approach are highlighted.
|Item Type:||Journal Article|
|Additional Information:||Â©1987 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:||30 Sep 2005|
|Last Modified:||19 Sep 2010 04:20|
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