Abstract: A computationally efficient algorithm is proposed for estimating the parameters of sinusoidal frequency model in stationary noise. The proposed estimator is asymptotically equivalent to the least-squares estimator. Different real data have been analyzed for illustrative purposes. The main advantage of the proposed method of estimation is that the estimators can be obtained using only fixed number of iterations. The case of two-dimensional sinusoidal model is also discussed.