This paper proposes a recursive filtering algorithm for log-Rice signals generated by the envelope of noisy narrow band Gaussian signals through noisy logarithmic amplifiers. A class of filters is considered, and within this class the filter providing the optimal estimate (minimum error variance) is computed. Some simulations results are presented to evaluate the filter performances.
Germani, A., Graziosi, F., Manes, C., Ocera, G., Palumbo, P. (2006). Recursive filtering for log-Rice signals. In Proceedings 45th IEEE Conference on Decision and Control 2006, CDC; San Diego, CA; United States; 13-15 December 2006 (pp.3150-3155). IEEE Institute of Electrical and Electronics Engineers [10.1109/CDC.2006.376763].
Recursive filtering for log-Rice signals
Palumbo, P
2006
Abstract
This paper proposes a recursive filtering algorithm for log-Rice signals generated by the envelope of noisy narrow band Gaussian signals through noisy logarithmic amplifiers. A class of filters is considered, and within this class the filter providing the optimal estimate (minimum error variance) is computed. Some simulations results are presented to evaluate the filter performances.
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