Comparison of Real-Valued FFT Architectures for Low-Throughput Applications using FPGA

Sai Sanjeet, Bibhu Datta Sahoo, Keshab K. Parhi

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

While many Fast Fourier Transform (FFT) architectures have been presented for computing real-valued FFT (RFFT), which of these architectures is best suited for low-throughput applications such as biomedical signals which are typically sampled between 256 Hz and 1 kHz remains unclear. This paper implements and compares throughput, resources, and energy consumption of three different hardware architectures for real-valued FFT algorithms using Xilinx Zynq-7000 FPGA. The RFFT architectures exploit the conjugate symmetry property of the real signals, thereby eliminating about half of the computations compared to a complex FFT. The three FFT architectures investigated in this paper include: single processing element (SPE), pipelined, and in-place. It is shown that, for a 256-point RFFT, using FPGA, the in-place architectures require the least device resources when compared to the pipelined architectures, while the throughput of the pipelined architectures is approximately 8 times that of the in-place architecture.

Original languageEnglish (US)
Title of host publication2021 IEEE International Midwest Symposium on Circuits and Systems, MWSCAS 2021 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages112-115
Number of pages4
ISBN (Electronic)9781665424615
DOIs
StatePublished - Aug 9 2021
Event2021 IEEE International Midwest Symposium on Circuits and Systems, MWSCAS 2021 - Virtual, East Lansing, United States
Duration: Aug 9 2021Aug 11 2021

Publication series

Name2021 IEEE International Midwest Symposium on Circuits and Systems (MWSCAS)

Conference

Conference2021 IEEE International Midwest Symposium on Circuits and Systems, MWSCAS 2021
Country/TerritoryUnited States
CityVirtual, East Lansing
Period8/9/218/11/21

Bibliographical note

Publisher Copyright:
© 2021 IEEE.

Keywords

  • biomedical signals
  • Fast Fourier Transform (FFT)
  • in-place
  • pipelined
  • Real-Valued FFT
  • real-valued signals

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