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Signal Transmission Through A Linear System, Signal Distortion Over A Communication Channel, Measure of Signals, ESD and PSD of Modulated Signals

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National University

of Computer and Emerging Sciences


Chiniot-Faisalabad Campus

EE323 – Analog and Digital Communication Systems


Assignment Number 1
“Signal transmission through a linear system, Signal distortion over a
communication channel, Measure of Signals, ESD and PSD of modulated
signals”
Spring 2021

Maximum Marks: 60 Due Date: 28 September, 2021

Submitted By
Name: _________________________

Student ID: _________________________

Section: _________________________

Submitted To
Dr. Adil Zulfiqar
Assistant Professor – EE Department

Submission Date
___ September 2021

Details of Obtained Marks


Question Number 1 2 3 4 5 6
Total
CLO Number 1 1 1 2 2 2
Total Marks 10 10 10 10 10 10 60
Obtained Marks
CLO Taxonomy
CLO Statement Domain
No. Level
Analyzing the transmitted signal over communication
1 Cognitive 4
channel.

Q1.

a) Using time-shifting property, show that if g ( t ) ⇔ G(ω), then

g ( t+T ) + g(t−T )⇔ 2 G(ω) cosTω

b) If g ( t ) ⇔ G(ω), then show that g ( t ) ⇔G (−ω).


¿ ¿

Q2. A certain channel has ideal amplitude, but nonideal phase response (Fig.1), given by (10)

|H ( ω )|=1
θh ( ω )=−ω t 0−ksinωT k ≪1

Show that y (t) , the channel response to an ideal pulse g(t ) band limited to B Hz is

k
y ( t ) =g ( t−t 0 ) + [ g ( t−t 0−T ) −g(t−t 0 +T )]
2

Hint: Use e− jksinωT ≈ 1− jksinωT .

Fig.1

Q3. Signals g1 ( t )=104 rect (10 4 t) and g2 ( t ) =δ( t) are applied at the inputs of the ideal low-pass
20,000
filters whose impulse responses are h1 ( t )= sinc (20,000 t) and
t
10,000
h2 ( t ) = sinc (10,000t ) fig (2). The outputs y 1 (t ) and y 2 ( t ) of these filters are multiplied to
t
obtain the signal y ( t ) = y 1 ( t ) y 2 ( t ) .

Fig. 2
a) Sketch G 1 (w) and G 2 (w) .
b) Sketch H 1 (w) and H 2 (w) .
c) Sketch Y 1 (w) and Y 2 (w) .

CLO Taxonomy
CLO Statement Domain
No. Level
Analyze the energy, and power spectral density of the
2 Cognitive 4
transmitted signal.

Q4. Show that for a power signal, the PSD S g (w) is the Fourier transform of the autocorrelation
function R g (τ ) by using the concept of truncated power signal.

Q5. Find the autocorrelation function and power spectral density of the following function:

x ( t )=ℜ¿
Hint: e jωt =cos ωt + jsinωt convert above x(t) into 2+ A cos ⁡(ωt +θ) and then use this function for
Autocorrelation.

Q6. Find the mean Square value of (or Power) of the output voltage y (t) of the system shown in the

figure.3. if the input voltage PSD is S x ( ω )=rect ( ω/2). Calculate the power of input signal x (t ).

Fig.3

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