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Novel Differentiator Handles Discrete Time-Domain Signals
Date Posted: September 14, 2006 12:00 AM
The central-difference differentiator's frequency magnitude response is the
dotted |Hcd(ω)| curve in Figure 1. The tradeoff for |Hcd(ω)|'s
desirable high-frequency (noise) attenuation is that its frequency range of
linear operation is only from zero to roughly = 0.16 π samples/radian (0.08fs
Hz). Unfortunately, that's less than the frequency range of linear operation
of the first-difference differentiator.
As noted, this Design Brief describes a third alternative, a computationally
efficient differentiator that maintains the central-difference differentiator's
beneficial high-frequency attenuation behavior, but extends its frequency range
of linear operation. The differentiator is defined by:

This novel differentiator's normalized frequency magnitude response is the
solid |Hdif(ω)| curve in Figure
1. Its frequency range of linear operation extends from to zero to approximately
= 0.34π samples/radian (0.17fs Hz). This is twice the usable frequency
range of the central-difference differentiator.
The implementation of the differentiator is shown in Figure
2, where a delay block comprises two unit delays. The folded-FIR structure
for this differentiator is presented in Figure
3, which shows that only a single multiply need be performed per ydif(n)
output sample. The really slick aspect of the ydif(n) differentiator
is that its non-unity coefficients (±1/16) are integer powers of two.
This means that a multiplication can be implemented with an arithmetic right
shift by four bits. Happily, such a binary right-shift implementation is a linearphase,
multiplier-less differentiator.
Another valuable feature of the ydif(n) differentiator is that its
time delay (group delay) is exactly three sample periods (3/fs),
making it convenient for use with popular FM demodulation methods.1
Reference:
- Lyons, Richard, Understanding Digital Signal Processing, 2nd Edition,
Prentice Hall, Upper Saddle River, N.J., 2004, p. 549-552