Proceedings of the 2016 International Conference on Computer Engineering and Information Systems

Efficient Reading Method of a Single Binary Pulse Curve

Authors
Si-Yan Wang, Zhao-Xue Chen
Corresponding Author
Si-Yan Wang
Available Online November 2016.
DOI
10.2991/ceis-16.2016.59How to use a DOI?
Keywords
binary pulse graphs;single pulse curves; digitized value reading; break points connection-component
Abstract

This paper presents an efficient way to read a single binary pulse curve, which can be used to process paper pulse graphs to achieve the digitized form. For a single binary pulse curve, the single-valued pulse curve data can be obtained by the special designed reading algorithm for a multi-valued curve, which aims at turning multi-valued points to single-value points more accurately , at the same time, various kinds of noise can be efficiently removed. Further, the broken points can be connected together based on the linear interpolation method to finish the single pulse reading . Experiments have shown that this method can read a single pulse curve accurately and efficiently.

Copyright
© 2017, 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 2016 International Conference on Computer Engineering and Information Systems
Series
Advances in Computer Science Research
Publication Date
November 2016
ISBN
10.2991/ceis-16.2016.59
ISSN
2352-538X
DOI
10.2991/ceis-16.2016.59How to use a DOI?
Copyright
© 2017, 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  - Si-Yan Wang
AU  - Zhao-Xue Chen
PY  - 2016/11
DA  - 2016/11
TI  - Efficient Reading Method of a Single Binary Pulse Curve
BT  - Proceedings of the 2016 International Conference on Computer Engineering and Information Systems
PB  - Atlantis Press
SP  - 296
EP  - 299
SN  - 2352-538X
UR  - https://doi.org/10.2991/ceis-16.2016.59
DO  - 10.2991/ceis-16.2016.59
ID  - Wang2016/11
ER  -