PUMA
Istituto di Scienza e Tecnologie dell'Informazione     
Coates M. J., Kuruoglu E. E. Time-frequency based detection in impulsive noise environments using alpha-stable noise models. 0503153128, Technical report, 2001.
 
 
Abstract
(English)
In various signal processing scenarios, the signal exhibits a nonstationary behaviour and is observed under non-Gaussian noise. Although one can find several work in the literature on dealing with nonstationary signals using time-frequency analysis and with non-Gaussian noise, these two problems have not been studied together. In this paper, we aim to address both nonstationarity and non-Gaussiannity in a unified manner. In particular, we develop test statistics for the detection of arbitrary nonstationary second order signals observed under impulsive noise. We model the impulsive noise with symmetric alpha-stable distributions which recently received interest in the signal processing community. We consider the problem of detecting such signals in the presence of unknown time-frequency and time-scale offsets and demonstrate that approximations to locally-optimal test statistics can be expressed in a manner conducive to efficient implementation using time-frequency or time-scale representations.
Subject Time-frequency analysis
Detection
Alpha-stable processes
Non-stationary processes
Impulsive noise
I.5.4. Signal Processing
I.4.3. Enhancement filtering
60G35 (Applications)
93E10 (Estimation, detection)
60G52 (Stable Processes)


Icona documento 1) Download Document PS


Icona documento Open access Icona documento Restricted Icona documento Private

 


Per ulteriori informazioni, contattare: Librarian http://puma.isti.cnr.it

Valid HTML 4.0 Transitional