JAWAHARLAL NEHRU TECHNOLOGICAL UNIVERSITY HYDERABAD

JAWAHARLAL NEHRU TECHNOLOGICAL UNIVERSITY HYDERABAD B.Tech II SIGNALS AND SYSTEMS Previous Question Paper (March - 2022 - R13)

B.Tech | II | I | R13 | March - 2022

Answer PaperPaper Code: 113AWMaximum Marks: 75Time: 3 Hours

Answer any five questions

All questions carry equal marks

Main

115 marks
a

Derive the relation between unit step function and signum function along with their appropriate definitions.

6 marks

Answer

The unit step function u(t) is defined as 1 for t > 0 and 0 for t < 0. The signum function sgn(t) is defined as 1 for t > 0 and -1 for t < 0. To relate them, observe that u(t) transitions from 0 to 1 at t=0, while sgn(t) transitions from -1 to 1. We can express the signum function as a combination of unit steps: sgn(t) = u(t) - u(-t). Conversely, since u(t) + u(-t) = 1, we can substitute u(-t) = 1 - u(t) into the signum expression to get sgn(t) = u(t) - (1 - u(t)), which simplifies to the relation

u(t) = 0.5 * (1 + sgn(t))
.

b

Determine the complex Fourier series expansion of a triangular signal with period T=4 and fundamental frequency of

ω₀ = π/2
.

9 marks

Answer

For a triangular wave x(t) with period T=4, let the signal be defined as x(t) = 1 - |t| for -2 < t < 2. The fundamental frequency is ω₀ = 2π/T = π/2. Since the signal is even, the sine terms in the Fourier series vanish (bₙ = 0). The DC component a₀ is the average value, which is 0.5. The coefficients aₙ are calculated using the integral

aₙ = (2/T) * ∫ x(t) * cos(n * ω₀ * t) dt
from -2 to 2. Substituting x(t) = 1 - |t| and ω₀ = π/2:
aₙ = (1/2) * 2 * ∫ (1 - t) * cos(n * π * t / 2) dt
from 0 to 2. Solving this integral by parts, we obtain
aₙ = (4 / (n² * π²)) * (1 - cos(n * π))
. For even n, aₙ = 0. For odd n, aₙ = 8 / (n² * π²). Thus, the Fourier series is
x(t) = 0.5 + Σ (8 / (n² * π²)) * cos(n * π * t / 2)
for n = 1, 3, 5, ...

215 marks
a

Determine the inverse Fourier Transform of the spectrum shown in Figure 1.

8 marks

Answer

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b

State and prove the following property of Fourier Transform: Multiplication in time domain.

7 marks

Answer

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315 marks
a

Discuss sampling of continuous time signals.

5 marks

Answer

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b

Find the Nyquist rate and the Nyquist interval for the signal

x(t) = (1/π²) * cos(400πt) * cos(1000πt)
.

5 marks

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c

Explain how a function can be represented by a closed or a complete set of mutually orthogonal functions.

5 marks

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415 marks
a

Check whether the following systems are linear time invariant systems or not:

i)

y(t) = sin(x(t))

ii)

y(t) = t * x(t)

iii)

y(t) = x(t) * cos(200πt)

9 marks

Answer

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b

Clearly discuss the filter characteristics of linear systems and mention conditions for distortionless transmission of a signal through the system.

6 marks

Answer

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515 marks
a

Find the impulse response of the system shown in Figure 2. Find the transfer function. What would be its frequency response? Sketch the response.

8 marks

Answer

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b

Derive an expression that relates Energy Spectral Density and Autocorrelation function.

7 marks

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615 marks
a

State and prove convolution property of Fourier transforms.

7 marks

Answer

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b

Find the Power, rms value and sketch the PSD for the following signal:

x(t) = (A + sin(100t)) * cos(200t)
.

8 marks

Answer

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715 marks
a

Find the initial and final values of signal x(t) whose Laplace transform is

X(s) = (5s + 1) / [s(s + 2)]
.

8 marks

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b

Find inverse of the following Laplace transform

X(s) = 1 / (s² - s + 1)
, if ROC is
Re(s) > 1
.

7 marks

Answer

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815 marks
a

Explain the concept of Z-transform of a discrete time sequence.

5 marks

Answer

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b

Find the transform X(z) and sketch the pole-zero with the ROC for each of the following sequences:

i)

x(n) = (1/2)ⁿ u(n) + (1/3)ⁿ u(n)

ii)

x(n) = (1/3)ⁿ u(n) + (1/3)⁻ⁿ u(-n-1)

10 marks

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About this paper

This page contains the question paper of SIGNALS AND SYSTEMS from JAWAHARLAL NEHRU TECHNOLOGICAL UNIVERSITY HYDERABAD for B.Tech ECE II I, March - 2022, R13.

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