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

Cabal-Yepez, E, Carozzi, T D, Romero-Troncoso, R de J, Gough, M P and Huber, N (2008) FPGA-based system for frequency detection of the main periodic component in time series information. Digital Signal Processing, 18 (6). pp. 1029-1044. ISSN 1051-2004

Full text not available from this repository.

Abstract

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.

Item Type: Article
Keywords: FPGA; Frequency estimation; Time series; Fast computation engine
Schools and Departments: School of Engineering and Informatics > Engineering and Design
Depositing User: Paul Gough
Date Deposited: 09 Jul 2012 11:53
Last Modified: 26 Jun 2013 12:25
URI: http://srodev.sussex.ac.uk/id/eprint/22065
📧 Request an update