Proceedings of the 2nd International Conference on Computer Engineering, Information Science & Application Technology (ICCIA 2017)

Design of FIR Low-pass Filter Based on MATLAB

Authors
Weiwei Tian, Zixuan Ni
Corresponding Author
Weiwei Tian
Available Online July 2016.
DOI
10.2991/iccia-17.2017.75How to use a DOI?
Keywords
MATLAB, FIR, low-pass filter, audio processing.
Abstract

With the rapid development of the global electronic market, the filter has been greatly promoted. And the development of digital technology also create a good technical foundation for the filter. This paper introduces the basic concepts of digital filters, the brief introduction of MATLAB Software, and the design method of FIR low-pass filter. Taking MATLAB as working platform and development tools, the design and simulation of FIR low-pass filter are realized by MATLAB program. And the practicability of low-pass filter for audio processing is proved by tests.

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 2nd International Conference on Computer Engineering, Information Science & Application Technology (ICCIA 2017)
Series
Advances in Computer Science Research
Publication Date
July 2016
ISBN
978-94-6252-361-6
ISSN
2352-538X
DOI
10.2991/iccia-17.2017.75How 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  - Weiwei Tian
AU  - Zixuan Ni
PY  - 2016/07
DA  - 2016/07
TI  - Design of FIR Low-pass Filter Based on MATLAB
BT  - Proceedings of the 2nd International Conference on Computer Engineering, Information Science & Application Technology (ICCIA 2017)
PB  - Atlantis Press
SP  - 448
EP  - 451
SN  - 2352-538X
UR  - https://doi.org/10.2991/iccia-17.2017.75
DO  - 10.2991/iccia-17.2017.75
ID  - Tian2016/07
ER  -