In this problem, we consider the effect of mapping continuous-time filters to discrete-time filters by replacing derivatives
Question:
In this problem, we consider the effect of mapping continuous-time filters to discrete-time filters by replacing derivatives in the differential equation for a continuous-time filter by central differences to obtain a difference equation. The first central difference of a sequence x[n] is defined as
∆(1){x[n]} = x[n + 1] – x[n – 1],
and the kth central difference is defined recursively as
∆(k){x[n]} = ∆(1){∆ (k–1){x[n]}}.
For consistency, the zeroth central difference is defined as
∆(0){x[n]} = x[n].
(a) If X(z) is the z-transform of x[n], determine the z-transform of ∆(k){x[n]}. The mapping of an LTI continuous-time filter to an LTI discrete-time filter is as follows: Let the continuous-time filter with input x(t) output y(t) be specified by a difference equation of the form
Then the corresponding discrete-time filter with input x[n] and output y[n] is specified by the difference equation.
(b) If Hc(s) is a rational continuous-time system function and Hd(z) is the discrete-time system function obtained by mapping the differential equation to a difference equation as indicated in part (a), then
Hd(z) = He(s)|s = m(z)’
Determine m (z).
(c) Assume that Hc(s) approximates a continuous-time lowpass filter with a cutoff frequency of Ω = 1; i.e.,
This filter is mapped to a discrete-time filter using central differences as discussed in part (a). Sketch the approximate frequency response that you would expect for the discrete-time filter, assuming that it is stable.
Step by Step Answer:
Discrete Time Signal Processing
ISBN: 978-0137549207
2nd Edition
Authors: Alan V. Oppenheim, Rolan W. Schafer