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FPGA-based system for frequency detection of the main periodic component in time series information

journal contribution
posted on 2023-06-07, 23:56 authored by E Cabal-Yepez, T D Carozzi, R de J Romero-Troncoso, M P Gough, N Huber
This paper presents a novel algorithm, called the DFSWT, and its FPGA-based hardware processing unit for frequency estimation of a time series main periodic component. Since the DFSWT uses just additions and subtractions, it is simpler to compute than the FFT, and since its spectrum is a frequency function, it is more intuitive than the Walsh transform. The results show that the proposed algorithm is very efficient in detecting the frequency of the main periodic component, even in low SNR. The proposed hardware processing unit is 3 orders of magnitude faster than its respective software implementation and presents advantages regarding to power consumption, footprint, and computation speed against highly optimized commercially available FFT cores.

History

Publication status

  • Published

Journal

Digital Signal Processing

ISSN

1051-2004

Publisher

Elsevier

Issue

6

Volume

18

Page range

1029-1044

Department affiliated with

  • Engineering and Design Publications

Full text available

  • No

Peer reviewed?

  • Yes

Legacy Posted Date

2012-07-09

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