Title :
Signal classification in digital telephone networks
Author :
Sewall, J.S. ; Cockburn, Bruce F.
Author_Institution :
Alberta Univ., Edmonton, Alta., Canada
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;
Conference_Titel :
Electrical and Computer Engineering, 1995. Canadian Conference on
Conference_Location :
Montreal, Que.
Print_ISBN :
0-7803-2766-7
DOI :
10.1109/CCECE.1995.526587
