Segmentation of non-stationary signals with applications

Author

Lovell, Brian ; Boashash, Boualem

Author_Institution

Dept. of Electr. Eng., Queensland Univ., Brisbane, Qld., Australia

fYear

1988

fDate

11-14 Apr 1988

Firstpage

2685

Abstract

Nonstationary signals are partitioned into near-stationary segments using a modified Appel and Brandt algorithm. The modification requires two spectral distance measures to be used to produce an algorithm which is insensitive to changes in signal energy level which are irrelevant in this application. Performance on real and simulated data is presented. Segmentation has been used to provide an estimator of the evolutive spectrum, an application to a noisy communication signal is presented

Keywords

signal processing; Brandt algorithm; evolutive spectrum; modified Appel algorithm; near-stationary segments; noisy communication signal; nonstationary signals segmentation; signal energy level; spectral distance measures; Covariance matrix; Energy measurement; Energy states; Microstructure; Partitioning algorithms; Sea measurements; Signal analysis; Speech analysis; Underwater communication; White noise;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech, and Signal Processing, 1988. ICASSP-88., 1988 International Conference on

Conference_Location

New York, NY

ISSN

1520-6149

Type

conf

DOI

10.1109/ICASSP.1988.197203

Filename

197203

Link To Document

https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3008190