Open AccessEstimation of Length and Order of Polynomial-based Filter Implemented in the Form of Farrow Structure
Author(s) -
Selena Vukotić,
Djordje Babić
Publication year - 2016
Publication title -
engineering, technology and applied science research/engineering, technology and applied science research
Language(s) - English
Resource type - Journals
eISSN - 2241-4487
pISSN - 1792-8036
DOI - 10.48084/etasr.746
Subject(s) - passband , stopband , infinite impulse response , algorithm , mathematics , digital filter , transition band , polynomial , elliptic filter , polynomial interpolation , signal processing , finite impulse response , computer science , filter design , control theory (sociology) , prototype filter , digital signal processing , filter (signal processing) , linear interpolation , mathematical analysis , electronic engineering , band pass filter , computer vision , artificial intelligence , engineering , control (management) , computer hardware
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.