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In §I.1.2, we noted that Lagrange interpolation is
maximally flat in the frequency domain, while the Farrow filters
Eq. (I.3) yielded a maximally flat error in the time domain. This
section derives Farrow filters for which implement Lagrange
interpolation [477]. Interestingly, the Farrow filters in this
case are classic finite difference filters (low-order approximations
to true differentiators).
As described in [477], solve the equations
for the FIR transfer functions , each order in
general (must invert a constant Vandermonde matrix)
- Each coefficient of any Nth-order FIR interpolating filter
can be expressed as an Nth-order polynomial in the fractional delay
parameter (see Farrow reference in [248])
- Each polynomial coefficient depends only on filter input samples and not on
very convenient to modulate the delay parameter
- When the polynomial above is evaluated using Horner's rule, the resulting
filter structure is as shown in the above figure
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