Proceedings of the First International Conference on Information Sciences, Machinery, Materials and Energy

Research on paralleling compute efficiency of FIR filter

Authors
Jinbo Wang, Lin Mao
Corresponding Author
Jinbo Wang
Available Online July 2015.
DOI
10.2991/icismme-15.2015.224How to use a DOI?
Keywords
paralleling compute; FIR; GPU; CUDA.
Abstract

Software radar is a hot direction of radar system research, and FIR filter is the basic part of the software radar system. Be restricted by the CPU speed, most of the FIR filter is achieved on the DSP. Following the development of new technology, GPU perhaps can replace the role of the DSP. This paper designs a band pass filter, then uses the GPU to fulfill that algorithm, Finally process some typical signals to test the speed and research the efficiency of using GPU to accomplish real time compute, it’s useful for further research on software radar system.

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 First International Conference on Information Sciences, Machinery, Materials and Energy
Series
Advances in Intelligent Systems Research
Publication Date
July 2015
ISBN
10.2991/icismme-15.2015.224
ISSN
1951-6851
DOI
10.2991/icismme-15.2015.224How 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  - Jinbo Wang
AU  - Lin Mao
PY  - 2015/07
DA  - 2015/07
TI  - Research on paralleling compute efficiency of FIR filter
BT  - Proceedings of the First International Conference on Information Sciences, Machinery, Materials and Energy
PB  - Atlantis Press
SP  - 1060
EP  - 1063
SN  - 1951-6851
UR  - https://doi.org/10.2991/icismme-15.2015.224
DO  - 10.2991/icismme-15.2015.224
ID  - Wang2015/07
ER  -