Simulation of neural network DTMF decoder

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The telecommunications industry uses a signaling technique known as dual-tone multifrequency (DTMF) dialing to indicate the depressed pushbuttons on a telephone keypad. The two primary categories for decoding DTMF waveforms include both hardware and software-based solutions. Hardware-based solutions use filter banks to separate frequencies into low-band and high-band channels, and utilize detection schemes in order to reconstruct the pushbutton. These techniques often suffer from high parts count, large circuit board space, and increased costs. Software-based solutions utilize digital signal processors (DSP) with algorithms for implementing Fast Fourier Transforms (FFT) or filter banks. These designs suffer from complex algorithms with a large computational overhead. The new work presented in this paper includes an extension of the simulation results for the design of a neural network based DTMF decoder already developed by the authors.

Original languageEnglish (US)
Title of host publicationProceedings of the 18th IASTED International Conference on Modelling and Simulation, MS 2007
Pages410-415
Number of pages6
StatePublished - Dec 1 2007
Event18th IASTED International Conference on Modelling and Simulation, MS 2007 - Montreal, QC, Canada
Duration: May 30 2007Jun 1 2007

Publication series

NameProceedings of the IASTED International Conference on Modelling and Simulation
ISSN (Print)1021-8181

Other

Other18th IASTED International Conference on Modelling and Simulation, MS 2007
CountryCanada
CityMontreal, QC
Period5/30/076/1/07

Fingerprint

Filter Banks
Filter banks
Neural Networks
Neural networks
Hardware
Computer keyboards
Telecommunication industry
Digital Signal Processor
Simulation
Software
Digital signal processors
Fast Fourier transform
Telecommunications
Telephone
Fast Fourier transforms
Waveform
Decoding
Count
Industry
Networks (circuits)

All Science Journal Classification (ASJC) codes

  • Software
  • Modeling and Simulation
  • Computer Science Applications

Cite this

Loker, D., & Hemminger, T. L. (2007). Simulation of neural network DTMF decoder. In Proceedings of the 18th IASTED International Conference on Modelling and Simulation, MS 2007 (pp. 410-415). (Proceedings of the IASTED International Conference on Modelling and Simulation).
Loker, David ; Hemminger, Thomas Lee. / Simulation of neural network DTMF decoder. Proceedings of the 18th IASTED International Conference on Modelling and Simulation, MS 2007. 2007. pp. 410-415 (Proceedings of the IASTED International Conference on Modelling and Simulation).
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Loker, D & Hemminger, TL 2007, Simulation of neural network DTMF decoder. in Proceedings of the 18th IASTED International Conference on Modelling and Simulation, MS 2007. Proceedings of the IASTED International Conference on Modelling and Simulation, pp. 410-415, 18th IASTED International Conference on Modelling and Simulation, MS 2007, Montreal, QC, Canada, 5/30/07.

Simulation of neural network DTMF decoder. / Loker, David; Hemminger, Thomas Lee.

Proceedings of the 18th IASTED International Conference on Modelling and Simulation, MS 2007. 2007. p. 410-415 (Proceedings of the IASTED International Conference on Modelling and Simulation).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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AB - The telecommunications industry uses a signaling technique known as dual-tone multifrequency (DTMF) dialing to indicate the depressed pushbuttons on a telephone keypad. The two primary categories for decoding DTMF waveforms include both hardware and software-based solutions. Hardware-based solutions use filter banks to separate frequencies into low-band and high-band channels, and utilize detection schemes in order to reconstruct the pushbutton. These techniques often suffer from high parts count, large circuit board space, and increased costs. Software-based solutions utilize digital signal processors (DSP) with algorithms for implementing Fast Fourier Transforms (FFT) or filter banks. These designs suffer from complex algorithms with a large computational overhead. The new work presented in this paper includes an extension of the simulation results for the design of a neural network based DTMF decoder already developed by the authors.

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Loker D, Hemminger TL. Simulation of neural network DTMF decoder. In Proceedings of the 18th IASTED International Conference on Modelling and Simulation, MS 2007. 2007. p. 410-415. (Proceedings of the IASTED International Conference on Modelling and Simulation).