Title :
Voiceband signal classification using statistically optimal combinations of low-complexity discriminant variables
Author :
Sewall, J.S. ; Cockburn, B.F.
Author_Institution :
LSI Logic Corp., Kanata, Ont., Canada
fDate :
11/1/1999 12:00:00 AM
Abstract :
This paper considers the problem of classifying voiceband modem, facsimile, native binary data, and speech signals on a 64-kb/s digital channel using low complexity discriminant functions similar to those investigated by Benvenuto (1989). Benvenuto´s method is simplified by replacing an approximate demodulation step with rectification of the passband signal and improved by using statistical analysis to select and combine the most effective variables into statistically optimal discriminant functions
Keywords :
digital communication; facsimile; signal classification; speech processing; statistical analysis; telecommunication channels; telecommunication traffic; telephony; voice communication; 64 kbit/s; Benvenuto´s method; binary data; digital channel; digital telephone networks; facsimile; low complexity discriminant functions; low-complexity discriminant variables; passband signal rectification; speech signals; statistical analysis; statistically optimal discriminant functions; voiceband modem data; voiceband signal classification; Baseband; Demodulation; Facsimile; Modems; Passband; Pattern classification; Speech processing; Statistical analysis; Telecommunication traffic; Telephony;
Journal_Title :
Communications, IEEE Transactions on
