DocumentCode :
2475316
Title :
Recursive Filtering for Log-Rice Signals
Author :
Germani, Alfredo ; Graziosi, Fabio ; Manes, Costanzo ; Ocera, Giuseppe ; Palumbo, Pasquale
Author_Institution :
Dipt. di Ingegneria Elettrica e dell´´Informazione, Universita degli Studi dell´´Aquila, L´´Aquila
fYear :
2006
fDate :
13-15 Dec. 2006
Firstpage :
3150
Lastpage :
3155
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
Keywords :
Gaussian noise; error statistics; recursive filters; log-Rice signals; minimum error variance; noisy logarithmic amplifier; noisy narrow band Gaussian signals; nonlinear filtering; optimal estimate; recursive filtering; Additive noise; Councils; Filtering algorithms; Gaussian noise; Narrowband; Noise generators; Nonlinear filters; Signal generators; Signal processing; Wiener filter; Log-Rice signals; Nonlinear filtering;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Decision and Control, 2006 45th IEEE Conference on
Conference_Location :
San Diego, CA
Print_ISBN :
1-4244-0171-2
Type :
conf
DOI :
10.1109/CDC.2006.376763
Filename :
4177602
Link To Document :
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