Title :
A frequency-domain approach to polynomial-based interpolation and the Farrow structure
Author_Institution :
Dept. of Electr. & Comput. Eng., California Univ., Santa Barbara, CA, USA
fDate :
3/1/2000 12:00:00 AM
Abstract :
Interpolation filters are used to interpolate new sample values at arbitrary points between the existing discrete-time samples. One interesting class of these filters is the polynomial-based interpolation filters which can be efficiently implemented using the Farrow structure. This discrete-time filter structure has a time-varying impulse response. Therefore, it is usually modeled by a simple hybrid analog/digital (A/D) system which is based on the reconstruction of the continuous-time signal. In this work, an interesting frequency-domain relationship between the Farrow structure and the hybrid A/D model is derived. This result can be utilized to develop efficient design algorithms for polynomial-based interpolation filters
Keywords :
discrete time filters; filtering theory; frequency-domain analysis; frequency-domain synthesis; interpolation; polynomials; Farrow structure; discrete-time filter structure; frequency-domain approach; hybrid A/D model; hybrid analog/digital system; polynomial-based interpolation filters; time-varying impulse response; Algorithm design and analysis; Digital filters; Digital signal processing; Equations; Finite impulse response filter; Frequency domain analysis; Interpolation; Polynomials; Sampling methods; Signal processing algorithms;
Journal_Title :
Circuits and Systems II: Analog and Digital Signal Processing, IEEE Transactions on