Abstract:
The desired signal is embedded in both multiplicative and additive noises. The multiplicative noise is modeled by a Gaussian AR process. Closed forms expressions are deri...Show MoreMetadata
Abstract:
The desired signal is embedded in both multiplicative and additive noises. The multiplicative noise is modeled by a Gaussian AR process. Closed forms expressions are derived for the finite-sample Cramer-Rao bound and for the maximum likelihood estimator. A cyclic approach is used to initialize the maximum likelihood algorithm when the signal is a harmonic.
Date of Conference: 10-13 September 1996
Date Added to IEEE Xplore: 27 April 2015
Print ISBN:978-888-6179-83-6
Conference Location: Trieste, Italy
