Quiz Questions Pool for Week 10


Q1. Consider the following difference equation

$ y[n]=ay[n-1]+x[n]-x[n-1]\,\! $
a. Compute the transfer function $ H(z) $, and find its poles and zeros.
b. Compute the impulse response $ h[n] $ using a ROC of $ |z|>a $. For what values of $ a $ is the system stable?
c. Compute the impulse response $ h[n] $ using a ROC of $ |z|<a $. For what values of $ a $ is the system stable?

Q2. The condition for the discrete-time signal $ x[n] $ to be real is

$ x[n]=x^{\ast}[n] $

Then, what is the condition of the frequency response $ X(w) $ for $ x[n] $ to be real?

(Hint: Apply DTFT to the above equation)


Q3. Qp10q3system.jpg

The respective difference equation for each of these two systems in parallel above may be expressed as

y1[n] = ½ x[n] + ½ x[n-1]
y2[n] = ½ x[n] - ½ x[n-1]

Consider the respective outputs of these two systems as the inputs to a pair of length two FIR filters with impulse response, g1[n] and g2[n] respectively, as shown in the diagram.

a. Given that g1[0] = ½, determine the values of g1[n] and g2[n], where n = 0, 1, such that the difference equation for the overall system is simply

y[n] = x[n-1]

That is, determine length-2 FIR filters g1[n] and g2[n] so that output is the input delayed by one (for any input).

b. Let H($ \omega $) denote the frequency response of the overall system equal to the DTFT of h[n] below:

h[n] = h1[n] * g1[n] + h2[n] * g2[n]

Plot both the magnitude H($ \omega $) and the phase H($ \omega $) over -$ \pi $ < $ \omega $ < $ \pi $.


Q4. Given a LTI system, when the input is $ x[n]=(\frac{1}{2})^nu[n]+2^nu[-n-1] $

the output is $ y[n]=6(\frac{1}{2})^nu[n]-6(\frac{3}{4})^nu[n] $

a. Compute the transfer function. Plot the zero-pole graph of H(z) and declare the ROC.

b. Compute the impulse response h[n] of the system.

c. Obtain the difference equation represents the system.

d. Determineif the filter represented by the difference equation is FIR or IIR. Give reasons for your choice.

e. Is the system stable? Explain why or why not.



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Alumni Liaison

BSEE 2004, current Ph.D. student researching signal and image processing.

Landis Huffman