a) A digital filter is described by the following linear difference equation: y(n) = 0.2[x(n) +x(n – 1) + x(n – 2) + x(n – 3) + x(n – 4)]

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QB2
a) A digital filter is described by the following linear difference
equation:
y(n) = 0.2[x(n) + x(n – 1) + x(n – 2) + x(n – 3) + x(n – 4)]
-
i) What is the main function of this filter?
ii) Present the filter structure diagram, transfer function, and
frequency response of the filter.
ii) Determine the sequential 6 output values for the input of
a unit step sequence:
u[n] = {o
S1
n 2 0
n < 0
%3D
b) In order to reduce the amount of memory and processing
time, a recursive solution is required in which previous
calculated averages (i.e., previous output samples) are used
to determine the present output.
i) For the digital filter described in a), show that the recursive
transfer function is given by:
Y (Z)
[1 – z-5]
0.2
X (Z)
[1 – Z-1]
ii) Determine the transfer function poles and zeros and check
the stability.
Transcribed Image Text:QB2 a) A digital filter is described by the following linear difference equation: y(n) = 0.2[x(n) + x(n – 1) + x(n – 2) + x(n – 3) + x(n – 4)] - i) What is the main function of this filter? ii) Present the filter structure diagram, transfer function, and frequency response of the filter. ii) Determine the sequential 6 output values for the input of a unit step sequence: u[n] = {o S1 n 2 0 n < 0 %3D b) In order to reduce the amount of memory and processing time, a recursive solution is required in which previous calculated averages (i.e., previous output samples) are used to determine the present output. i) For the digital filter described in a), show that the recursive transfer function is given by: Y (Z) [1 – z-5] 0.2 X (Z) [1 – Z-1] ii) Determine the transfer function poles and zeros and check the stability.
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