Simulation of neural network DTMF decoder

David R. Loker, Thomas L. Hemminger

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


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
Number of pages6
StatePublished - 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


Other18th IASTED International Conference on Modelling and Simulation, MS 2007
CityMontreal, QC

All Science Journal Classification (ASJC) codes

  • Software
  • Modeling and Simulation
  • Computer Science Applications


Dive into the research topics of 'Simulation of neural network DTMF decoder'. Together they form a unique fingerprint.

Cite this