Publications and Preprints
An Efficient and Fast Algorithm for Estimating the Parameters of Two-Dimensional Sinusoidal Signals
by
Swagata Nandi, Anurag Prasad and Debasis Kundu
In this paper we propose a computationally efficient algorithm
to estimate the parameters of a 2-D
sinusoidal model in presence of stationary noise. The
estimators obtained by the proposed algorithm are consistent and
asymptotically equivalent to the least squares estimators. Monte Carlo
simulations are performed for different sample
sizes and it is observed that the performances
of the proposed method are quite satisfactory and they are equivalent to the least
squares estimators. The main advantage of the proposed
method is that the estimators can be obtained using only finite number of
iterations. In fact it is shown that starting from the average of periodogram
estimators, the proposed algorithm converges in three steps only.
One synthesized texture data and one original texture data
have been analyzed using the proposed algorithm for illustrative purpose.
isid/ms/2008/10 [fulltext]
Click here to return to Preprints Page