Signal classification in digital telephone networks

Author

Sewall, J.S. ; Cockburn, Bruce F.

Author_Institution

Alberta Univ., Edmonton, Alta., Canada

Volume

2

fYear

1995

fDate

5-8 Sep 1995

Firstpage

957

Abstract

This paper considers the problem of classifying voice-band data, facsimile, and speech signals, using discriminant functions that are extensions of those described by Benvenuto (see IEEE Trans. on Commun., vol.41, no.4, p.539, 1993). Both the central second-order moment of the rectified signal, and the low order lags of the estimated autocorrelation sequence are computed. These discriminants are used to perform classification in 128 ms. with 0% misclassification for most signal types considered. Algorithm enhancements improve classification performance, reduce computational complexity, and extend the voice-band data subclassification abilities

Keywords

computational complexity; correlation methods; data communication; digital communication; estimation theory; facsimile; functions; speech processing; telephone networks; voice communication; central second-order moment; classification performance; computational complexity; digital telephone networks; discriminant functions; estimated autocorrelation sequence; facsimile; low order lags; misclassification; rectified signal; signal classification; speech signals; voice band data; voice band data subclassification; Baseband; Demodulation; Facsimile; Intelligent networks; Monitoring; Pattern classification; Speech; Telecommunication traffic; Telephony; Testing;

fLanguage

English

Publisher

ieee

Conference_Titel

Electrical and Computer Engineering, 1995. Canadian Conference on

Conference_Location

Montreal, Que.

ISSN

0840-7789

Print_ISBN

0-7803-2766-7

Type

conf

DOI

10.1109/CCECE.1995.526587

Filename

526587