DocumentCode
1402489
Title
Efficient dual-tone multifrequency detection using the nonuniform discrete Fourier transform
Author
Felder, Matthew D. ; Mason, James C. ; Evans, Brian L.
Author_Institution
Dept. of Electr. & Comput. Eng., Texas Univ., Austin, TX, USA
Volume
5
Issue
7
fYear
1998
fDate
7/1/1998 12:00:00 AM
Firstpage
160
Lastpage
163
Abstract
The International Telecommunication Union (ITU) recommendations for dual-tone multifrequency (DTMF) signaling are not met by conventional DTMF detectors. We present an efficient DTMF detection algorithm based on the nonuniform discrete Fourier transform that meets all of the ITU recommendations. The key innovations are the use of two sliding windows and development of sophisticated timing tests. Our algorithm requires no buffering of input samples. To perform DTMF detection on n telephone channels, our algorithm requires approximately n MIPS on a digital signal processor (DSP), 75+30n words of data memory, and 1000 words of program memory. Using the new algorithm, a single fixed-point DSP can perform ITU-compliant DTMF detection on the 24 telephone channels of a T1 time-division multiple multiplexed telecommunications line.
Keywords
digital signal processing chips; discrete Fourier transforms; signal detection; telecommunication channels; telecommunication signalling; telephone lines; time division multiplexing; DTMF detection algorithm; DTMF detectors; ITU recommendations; ITU timing specifications; International Telecommunication Union; MIPS; T1 TDM telecommunications line; data memory; digital signal processor; dual-tone multifrequency detection; dual-tone multifrequency signaling; modified Goertzel algorithm; nonuniform discrete Fourier transform; program memory; single fixed-point DSP; sliding windows; telephone channels; time-division multiplexing; timing tests; Detection algorithms; Detectors; Digital signal processing; Digital signal processors; Discrete Fourier transforms; Signal processing algorithms; Technological innovation; Telephony; Testing; Timing;
fLanguage
English
Journal_Title
Signal Processing Letters, IEEE
Publisher
ieee
ISSN
1070-9908
Type
jour
DOI
10.1109/97.700916
Filename
700916
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