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

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 f...

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Bibliographic Details
Published in:Digital signal processing 2008-11, Vol.18 (6), p.1029-1044
Main Authors: Cabal-Yepez, E., Carozzi, T.D., Romero-Troncoso, R. de J., Gough, M.P., Huber, N.
Format: Article
Language:English
Subjects:
Fast computation engine
FPGA
Frequency estimation
Time series
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Summary: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.
ISSN:1051-2004
1095-4333
DOI:10.1016/j.dsp.2008.04.002