Automatic identification of voice band telephony coding schemes using neural networks

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Automatic identification of voice band telephony coding schemes using neural networks

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© The Institution of Electrical Engineers
Published

A new method for identifying the type of coding present on a telecommunications channel is described. The method employs a combination of least mean squares adaptive filter techniques and neural network methods. The method is explained, and simulation results presented.

Inspec keywords: adaptive filters; telecommunications computing; identification; neural nets; encoding; telephony

Other keywords: voice band; neural networks; telephony coding schemes; telecommunications channel; simulation; least mean squares adaptive filter; automatic identification

Subjects: Codes; Digital signal processing; Communications computing; Telephony; Neural computing techniques; Signal processing and detection

References

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      • `CCITT Blue Book Volume III Fascicle III.4 General Aspects of Digital Transmission Systems; Terminal Equipments, Recommendation G711', November 1988.
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      • P. Eykhoff . (1974) , System identification. Parameter and state estimation.
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      • Alley, D.M.: `Network topology identification from measured channel impairment data', 1992, MSc Thesis, University of Essex, Dept. of Electronic Systems Engineering, Colchester.
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      • `CCITT Blue Book Volume III Fascicle III.4 General Aspects of Digital Transmission Systems; Terminal Equipments, Recommendation G721', November 1988.
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      • D.E. Rumelhart , G.E. Hinton , R.J. Williams , D.E. Rumelhart , J.L. McClelland . (1986) Learning internal representations by error propagation, Parallel distributed processing.
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