Efficient wavelet-based voice/data discriminator for telephone networks

Patrick J. Quirk; Yi-Chyun Tseng; Reza R. Adhami

doi:10.1117/12.241983

7 June 1996 Efficient wavelet-based voice/data discriminator for telephone networks

Patrick J. Quirk, Yi-Chyun Tseng, Reza R. Adhami

Proceedings Volume 2750, Digital Signal Processing Technology; (1996) https://doi.org/10.1117/12.241983
Event: Aerospace/Defense Sensing and Controls, 1996, Orlando, FL, United States

Abstract

A broad array of applications in the Public Switched Telephone Network (PSTN) require detailed information about type of call being carried. This information can be used to enhance service, diagnose transmission impairments, and increase available call capacity. The increase in data rates of modems and the increased usage of speech compression in the PSTN has rendered existing detection algorithms obsolete. Wavelets, specifically the Discrete Wavelet Transform (DWT), are a relatively new analysis tool in Digital Signal Processing. The DWT has been applied to signal processing problems ranging from speech compression to astrophysics. In this paper, we present a wavelet-based method of categorizing telephony traffic by call type. Calls are categorized as Voice or Data. Data calls, primarily modem and fax transmissions, are further divided by the International Telecommunications Union-Telephony (ITU-T), formerly CCITT, V-series designations (V.22bis, V.32, V.32bis, and V.34).

Citation Download Citation

Patrick J. Quirk, Yi-Chyun Tseng, and Reza R. Adhami "Efficient wavelet-based voice/data discriminator for telephone networks", Proc. SPIE 2750, Digital Signal Processing Technology, (7 June 1996); https://doi.org/10.1117/12.241983

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