Realisations of Finite-Sample Frequency-Selective Filters
AbstractA filtered data sequence can be obtained by multiplying the Fourier ordinates of the data by the ordinates of the frequency response of the filter and by applying the inverse Fourier transform to carry the product back to the time domain. Using this technique, it is possible, within the constraints of a finite sample, to design an ideal frequency-selective filter that will preserve all elements within a specified range of frequencies and that will remove all elements outside it. Approximations to ideal filters that are implemented in the time domain are commonly based on truncated versions of the infinite sequences of coefficients derived from the Fourier transforms of rectangular frequency response functions. An alternative to truncating an infinite sequence of coefficients is to wrap it around a circle of a circumference equal in length to the data sequence and to add the overlying coefficients. The coefficients of the wrapped filter can also be obtained by applying a discrete Fourier transform to a set of ordinates sampled from the frequency response function. Applying the coefficients to the data via circular convolution produces results that are identical to those obtained by a multiplication in the frequency domain, which constitutes a more efficient approach.
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Bibliographic InfoPaper provided by Department of Economics, University of Leicester in its series Discussion Papers in Economics with number 08/32.
Date of creation: Sep 2008
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This paper has been announced in the following NEP Reports:
- NEP-ALL-2008-09-20 (All new papers)
- NEP-ECM-2008-09-20 (Econometrics)
- NEP-ETS-2008-09-20 (Econometric Time Series)
- NEP-MST-2008-09-20 (Market Microstructure)
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- Alessandra Iacobucci & Alain Noullez, 2005.
"A Frequency Selective Filter for Short-Length Time Series,"
Computational Economics, Society for Computational Economics,
Society for Computational Economics, vol. 25(1), pages 75-102, February.
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- Alain Noullez & Alessandra Iacobucci, 2004. "A Frequency-selective Filter for Short-Length Time Series," Computing in Economics and Finance 2004, Society for Computational Economics 128, Society for Computational Economics.
- Stephen Pollock, 2014. "Econometric Filters," Discussion Papers in Economics, Department of Economics, University of Leicester 14/07, Department of Economics, University of Leicester.
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