Efficient Algorithm for Estimating the Parameters of Two Dimensional Chirp Signal

Two dimensional chirp signal has been used for modeling gray scale sym-metric images in the statistical signal processing literature. In this paper we propose a computationally efficient algorithm for estimating different param-eters of a two dimensional chirp signal model in presence of stationary noise. Starting from a suitable initial guess value, the proposed method produces esti-mators which are asymptotically equivalent to the corresponding least squares estimators. We also discuss how to obtain the initial estimates suitably. Some simulation experiments have been performed to see the effectiveness of the pro-posed method, and it is observed that the proposed estimators perform very well. Key Words and Phrases: Chirp signals; least squares estimators; strong consis-tency, asymptotic distribution; linear processes; iteration