Abstract
Recently complex Amplitude Modulated model in presence of additive white noise was used to analyze certain non-stationary speech data. It is observed that the assumption of white noise may not be proper in many cases. In this paper we consider the complex Amplitude Modulated signal model in presence of stationary noise. We consider the least squares estimators and the estimators obtained by maximizing the Periodogram function. The two estimators are asymptotically equivalent. We study theoretical properties of both these estimators and observe their performances through numerical simulations. One speech data is analyzed and it is observed that the performance of the proposed estimators are quite satisfactory.
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