JAWAHARLAL NEHRU TECHNOLOGICAL UNIVERSITY HYDERABAD

JAWAHARLAL NEHRU TECHNOLOGICAL UNIVERSITY HYDERABAD B.Tech II Year SIGNALS AND STOCHASTIC PROCESS Previous Question Paper (April/May - 2023 - R16)

B.Tech | II Year | I Semester | R16 | April/May - 2023

Answer PaperPaper Code: 133BQMaximum Marks: 75Time: 3 Hours

Note: i) Question paper consists of Part A, Part B. ii) Part A is compulsory. iii) In Part B, Answer any one question from each unit.

Part A

1.a

List any two properties of LTI system.

2 marks

Answer

Two fundamental properties of a Linear Time-Invariant (LTI) system are:

  • Superposition Property: A system is linear if it satisfies both the additivity and homogeneity properties. If an input x1(t) produces an output y1(t) and an input x2(t) produces an output y2(t), then an input ax1(t) + bx2(t) will produce an output ay1(t) + by2(t), where a and b are constants.
  • Time-Invariance Property: A system is time-invariant if a time shift in the input signal results in an identical time shift in the output signal. If an input x(t) produces an output y(t), then an input x(t - t0) produces an output y(t - t0) for any real constant t0.
1.b

Derive the relation between bandwidth and rise time.

3 marks

Answer

The relationship between bandwidth (BW) and rise time (tr) is a fundamental characteristic of linear time-invariant systems, particularly in pulse-based communication and circuit design. It describes the trade-off between the speed of a system's response to a step input and its frequency range.

Consider a low-pass system with a transfer function H(f). The rise time is defined as the time taken for the step response to rise from 10% to 90% of its final value. For a system with a Gaussian frequency response, the relationship is derived as follows:

  • Let the system have a bandwidth defined as the frequency where the magnitude drops to 1/√2 of its maximum value.
  • The impulse response of a Gaussian filter is given by:
  • h(t) = αe-πα2t2
  • The step response is the integral of the impulse response, which involves the error function. By calculating the time difference between the 10% and 90% points, we obtain the rise time:
  • tr = 0.35 / BW

This result, known as the 0.35 rule, indicates that the product of rise time and bandwidth is approximately constant. A system with a wider bandwidth is capable of faster transitions, resulting in a smaller rise time, while a narrow bandwidth limits the system's ability to track rapid changes, leading to a larger rise time.

1.c

State “time shift” property of Fourier transform.

2 marks

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1.d

Distinguish between series and transform in the Fourier Representation of a signal.

3 marks

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1.e

What is the time shifting property of Z transform?

2 marks

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1.f

What is steady state response?

3 marks

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1.g

Give an example of evolutionary random process.

2 marks

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1.h

Define autocorrelation function.

3 marks

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1.i

Write the relation between cross-power spectrum and cross correlation function.

2 marks

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1.j

Prove that the power spectral density of a real random process is an even function.

3 marks

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Part B

210 marks
a
Explain orthogonality property between two complex functions x1(t) and x2(t) for a real variable t.
5 marks

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b
What is an LTI system? Derive an expression for the transfer function of an LTI system.
5 marks

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OR
310 marks
a
Derive the relation between complex exponential and sinusoidal signals.
5 marks

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b
Compare Ideal LPF, HPF and BPF characteristics.
5 marks

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410 marks
a
Find the Fourier transform of x(t) = 1 - t^2 for 0 < t < 1, = 0 otherwise.
5 marks

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b
Name the different sampling methods explain any one in detail.
5 marks

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OR
510 marks
a
Determine the Fourier series representation for x(t) = 2 sin(2πt - 3) + sin 6πt.
5 marks

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b
Discuss the merits and limitations of Fourier transform.
5 marks

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610 marks
a
Distinguish between unilateral and bilateral Laplace transforms.
5 marks

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b
What is ROC? Discuss about ROCs of various classes of signals.
5 marks

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OR
710 marks
a
Define Laplace Transform and discuss its existence.
5 marks

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b
Find the Z-transform of i) x(n) = a^n sin(nπ) u(n) ii) x(n) = u(n) - u(n-4).
5 marks

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810 marks
a
Write a short note on gaussian random processes.
5 marks

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b
Explain the concept of time average and ergodicity.
5 marks

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OR
910 marks
a
What is random processes? Classify random processes and explain.
6 marks

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b
The auto correlation function of a random process X(t) is RXX(τ) = 3 + 2 exp(-4τ^2). Find its maximum value.
4 marks

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1010 marks
a
Explain about cross power spectrum density and its properties with proofs.
5 marks

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b
If Y(t) = A Cos(w0t+θ)+N(t), where ‘θ’ is a uniform random variable over (-π,π), and N(t) is a band limited Gaussian white noise process with PSD=K/2. If ‘θ’ and N(t) are independent, find the PSD of Y(t)?
5 marks

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OR
1110 marks
a
Explain about spectral characteristics of system response.
5 marks

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b
Derive the expression for the Cross Spectral Density of the input Process X(t) and the output process Y(t) of an LTI system in terms of its Transfer function.
5 marks

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About this paper

This page contains the solved question paper with answers of SIGNALS AND STOCHASTIC PROCESS from JAWAHARLAL NEHRU TECHNOLOGICAL UNIVERSITY HYDERABAD for B.Tech ECE II Year I Semester, April/May - 2023, R16.

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