Long-distance signal transmission cable interface feature extraction and recognition

DOI

10.2991/ameii-15.2015.256How to use a DOI?

Keywords

interface signals; feature extraction; recognition.

Abstract

To improve the long-distance transmission cable interface test automation level, proposed feature extraction based on the type of adaptive signal recognition technology. Through various types of interface signals in time domain and frequency domain characteristics analysis, using interpolation to achieve peak to peak signal accurate judgment, estimated to achieve an effective signal spectrum by Burg spectral estimation algorithm based on AR model. Experiments show that the signal recognition method based on characteristic differences can distinguish different types of long-distance two-wire duplex transmission interface.

Copyright

© 2015, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Xiaobo Wang
AU  - Yeshuang Tan
AU  - Huixian Sun
AU  - Shusong Ren
PY  - 2015/04
DA  - 2015/04
TI  - Long-distance signal transmission cable interface feature extraction and recognition
BT  - Proceedings of the International Conference on Advances in Mechanical Engineering and Industrial Informatics
PB  - Atlantis Press
SP  - 1392
EP  - 1396
SN  - 2352-5401
UR  - https://doi.org/10.2991/ameii-15.2015.256
DO  - 10.2991/ameii-15.2015.256
ID  - Wang2015/04
ER  -