Estimation of Length and Order of Polynomial-based Filter Implemented in the Form of Farrow Structure

Digital polynomial-based interpolation filters implemented using the Farrow structure are used in Digital Signal Processing (DSP) to calculate the signal between its discrete samples. The two basic design parameters for these filters are number of polynomial-segments defining the finite length of im...

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Bibliographic Details
Published in:Engineering, technology & applied science research technology & applied science research, 2016-08, Vol.6 (4), p.1099-1102
Main Authors: Vukotic, S., Babic, D.
Format: Article
Language:English
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Summary:Digital polynomial-based interpolation filters implemented using the Farrow structure are used in Digital Signal Processing (DSP) to calculate the signal between its discrete samples. The two basic design parameters for these filters are number of polynomial-segments defining the finite length of impulse response, and order of polynomials in each polynomial segment. The complexity of the implementation structure and the frequency domain performance depend on these two parameters. This contribution presents estimation formulae for length and polynomial order of polynomial-based filters for various types of requirements including attenuation in stopband, width of transitions band, deviation in passband, weighting in passband/stopband.
ISSN:2241-4487
1792-8036
DOI:10.48084/etasr.746