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

Volume

47

Issue

11

fYear

1999

fDate

11/1/1999 12:00:00 AM

Firstpage

1623

Lastpage

1627

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;

fLanguage

English

Journal_Title

Communications, IEEE Transactions on

Publisher

ieee

ISSN

0090-6778

Type

jour

DOI

10.1109/26.803495

Filename

803495