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

https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2475316