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Detection and selective smoothing of transmission errors in linear PCM

Detection and selective smoothing of transmission errors in linear PCM
Detection and selective smoothing of transmission errors in linear PCM
We consider detection of transmission errors in pcm by means of statistical hypothesis testing of the received quantized sequence. When errors are detected, a median filter is used to smooth waveform discontinuities. We describe two error detectors, one (cdc), based on correlation measurements, and the other (ddc), based on sample-to-sample difference measurements. While both offer s/n advantages over conventional pcm in the presence of errors, ddc is more promising both in terms of performance and simplicity of implementation.
0005-8580
339-409
Steele, R.
7035a3e5-8a4c-434b-a105-46fe2d63d5c3
Goodman, D.J.
2f8185fc-749b-4510-8ec8-0aefcff70e7f
Steele, R.
7035a3e5-8a4c-434b-a105-46fe2d63d5c3
Goodman, D.J.
2f8185fc-749b-4510-8ec8-0aefcff70e7f

Steele, R. and Goodman, D.J. (1977) Detection and selective smoothing of transmission errors in linear PCM. Bell System Technical Journal, 56 (3), 339-409. (doi:10.1002/j.1538-7305.1977.tb00516.x).

Record type: Article

Abstract

We consider detection of transmission errors in pcm by means of statistical hypothesis testing of the received quantized sequence. When errors are detected, a median filter is used to smooth waveform discontinuities. We describe two error detectors, one (cdc), based on correlation measurements, and the other (ddc), based on sample-to-sample difference measurements. While both offer s/n advantages over conventional pcm in the presence of errors, ddc is more promising both in terms of performance and simplicity of implementation.

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Published date: March 1977
Organisations: Electronics & Computer Science

Identifiers

Local EPrints ID: 252232
URI: http://eprints.soton.ac.uk/id/eprint/252232
ISSN: 0005-8580
PURE UUID: 9050e21b-fab8-4896-b803-69f2a36c551d

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Date deposited: 06 Jan 2000
Last modified: 14 Mar 2024 05:18

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Contributors

Author: R. Steele
Author: D.J. Goodman

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