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DOI: 10.14569/IJACSA.2017.080766
PDF

A Comparative Study for Performance and Power Consumption of FPGA Digital Interpolation Filters

Author 1: Tim Donnelly
Author 2: Jungu Choi
Author 3: Alexander V. Kildishev
Author 4: Matthew Swabey
Author 5: Mark C. Johnson

International Journal of Advanced Computer Science and Applications(IJACSA), Volume 8 Issue 7, 2017.

  • Abstract and Keywords
  • How to Cite this Article
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Abstract: The development of FPGA-based digital signal processing devices has been gaining attention. Researchers seek to reduce power consumption and enhance signal processing quality in these devices with given resources and spatial limits. Hence, there is a need to investigate both the capability and the power consumption associated with the various digital filtering schemes commonly used in FPGA-based devices. We carry out a set of performance and power consumption measurements of interpolation filters using an FPGA and other basic signal processing building blocks. We compare the signal processing performance with theoretical prediction, and measure the power consumed by the filters. Our experimental measurements also confirm the accuracy of the numerical tools used for predicting FPGA power consumption. This paper is aimed at providing a framework to accurately test basic signal processing across various interpolation schemes and compare the respective schemes’ software-side contributions to power consumption and filtering quality.

Keywords: Digital signal processing; digital interpolation filters; FPGA

Tim Donnelly, Jungu Choi, Alexander V. Kildishev, Matthew Swabey and Mark C. Johnson, “A Comparative Study for Performance and Power Consumption of FPGA Digital Interpolation Filters” International Journal of Advanced Computer Science and Applications(IJACSA), 8(7), 2017. http://dx.doi.org/10.14569/IJACSA.2017.080766

@article{Donnelly2017,
title = {A Comparative Study for Performance and Power Consumption of FPGA Digital Interpolation Filters},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2017.080766},
url = {http://dx.doi.org/10.14569/IJACSA.2017.080766},
year = {2017},
publisher = {The Science and Information Organization},
volume = {8},
number = {7},
author = {Tim Donnelly and Jungu Choi and Alexander V. Kildishev and Matthew Swabey and Mark C. Johnson}
}



Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

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