Proceedings of the 2017 5th International Conference on Machinery, Materials and Computing Technology (ICMMCT 2017)

An Improved Digital Filtering Method Based on Weighted Average of Input and Output Data

Authors
Qiang Zhou, HuaLi Wu, Yong Liu, Junwei Lei
Corresponding Author
Qiang Zhou
Available Online April 2017.
DOI
10.2991/icmmct-17.2017.172How to use a DOI?
Keywords
Digital filter; Low-pass filter; Weighted average; First order
Abstract

Digitalization of low-pass filter produced from first-order inertia link is carried out firstly in this paper. Then an improved algorithm is proposed to achieve better low-pass characteristics by weighted smoothing the first n-part of the input and output data and using the smoothed data instead of n-1 based on the first step. At last, through the detailed numerical simulation analysis, the correctness and validity of the proposed improved filter design method are verified.

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 2017 5th International Conference on Machinery, Materials and Computing Technology (ICMMCT 2017)
Series
Advances in Engineering Research
Publication Date
April 2017
ISBN
978-94-6252-318-0
ISSN
2352-5401
DOI
10.2991/icmmct-17.2017.172How 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  - Qiang Zhou
AU  - HuaLi Wu
AU  - Yong Liu
AU  - Junwei Lei
PY  - 2017/04
DA  - 2017/04
TI  - An Improved Digital Filtering Method Based on Weighted Average of Input and Output Data
BT  - Proceedings of the 2017 5th International Conference on Machinery, Materials and Computing Technology (ICMMCT 2017)
PB  - Atlantis Press
SP  - 855
EP  - 858
SN  - 2352-5401
UR  - https://doi.org/10.2991/icmmct-17.2017.172
DO  - 10.2991/icmmct-17.2017.172
ID  - Zhou2017/04
ER  -