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

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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).