Proceedings of the 2015 International Conference on Industrial Technology and Management Science

The Logic Function Extraction Technology Based on Automatic Correction Algorithm

Authors
Da Xiao, Jinlong Fei, Yuefei Zhu, Shengli Liu, Zhaolin Zhang
Corresponding Author
Da Xiao
Available Online November 2015.
DOI
10.2991/itms-15.2015.122How to use a DOI?
Keywords
logic function extraction; attribute identification; algorithm; self-correction
Abstract

Proposed equivalent item extraction based on contradictory truth table logic function algorithm, gives details of the algorithm implementation process. Select the one with eight inputs, two outputs of the chip to work waveform genera Test. Test results show waveforms attribute recognition model designed in this paper correctly identified the properties of the seven pins, re-use automatic correction algorithm, the successful implementation of misidentification pin Correction properties, complete all ten waveforms attribute recognition.

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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Volume Title
Proceedings of the 2015 International Conference on Industrial Technology and Management Science
Series
Advances in Computer Science Research
Publication Date
November 2015
ISBN
10.2991/itms-15.2015.122
ISSN
2352-538X
DOI
10.2991/itms-15.2015.122How to use a DOI?
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/).

Cite this article

TY  - CONF
AU  - Da Xiao
AU  - Jinlong Fei
AU  - Yuefei Zhu
AU  - Shengli Liu
AU  - Zhaolin Zhang
PY  - 2015/11
DA  - 2015/11
TI  - The Logic Function Extraction Technology Based on Automatic Correction Algorithm
BT  - Proceedings of the 2015 International Conference on Industrial Technology and Management Science
PB  - Atlantis Press
SP  - 507
EP  - 510
SN  - 2352-538X
UR  - https://doi.org/10.2991/itms-15.2015.122
DO  - 10.2991/itms-15.2015.122
ID  - Xiao2015/11
ER  -