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JNTU B.Tech II SIGNALS AND SYSTEMS Previous Question Paper (November/December - 2018 - R13)

B.Tech | II | I | R13 | November/December - 2018

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

Note: This question paper contains two parts A and B. Part A is compulsory which carries 25 marks. Answer all questions in Part A. Part B consists of 5 Units. Answer any one full question from each unit. Each question carries 10 marks and may have a, b, c as sub questions.

Part A

125 marks
a

Define a signal.

2 marks

Answer

A signal is a physical quantity that varies with one or more independent variables, such as time or space, and serves to convey information about the behavior or nature of a phenomenon.

b

What are the different types of signals?

3 marks

Answer

Signals are broadly classified into the following types:

  • Continuous-time and Discrete-time signals
  • Deterministic and Random signals
  • Periodic and Aperiodic signals
  • Energy and Power signals
  • Even and Odd signals
  • Causal, Anti-causal, and Non-causal signals
c

Define Fourier transform.

2 marks

Answer

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d

Mention the properties of Fourier transform.

3 marks

Answer

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e

What is signal bandwidth?

2 marks

Answer

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f

What are the properties of LTI Systems?

3 marks

Answer

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g

Define Energy Density spectrum.

2 marks

Answer

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h

Write about the Graphical representation of convolution.

3 marks

Answer

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i

What is waveform synthesis?

2 marks

Answer

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j

What is ROC?

3 marks

Answer

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Part B

210 marks
a

Derive the expression for component vector C12 of approximating the function f1(t) over f2(t) and also prove that the component vector becomes zero if the f1(t) and f2(t) are orthogonal.

5 marks

Answer

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b

Show that the following two signals are orthogonal over a interval [0 1] for f1(t) = 2 and f2(t) = √3(1-2t).

5 marks

Answer

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OR
310 marks
a

Define orthogonal signal space and bring out clearly its application in representing a signal.

5 marks

Answer

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b

What are Dirichlet’s conditions? Explain them with examples.

5 marks

Answer

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410 marks
a

Define Nyquist rate. Compare the merits and demerits of performing sampling using impulse, Natural and Flat-top sampling techniques.

5 marks

Answer

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b

Discuss the process of reconstructing the signal from its samples.

5 marks

Answer

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OR
510 marks
a

Obtain the Fourier transform of the following functions: i) Impulse function ii) DC Signal iii) Unit step function.

5 marks

Answer

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b

State and prove time differentiation property of Fourier Transform.

5 marks

Answer

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610 marks
a

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

5 marks

Answer

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b

Let the system function of an LTI system be 1/(jω + 3). What is the output of the system y(t) for an input (0.5)^t u(t)?

5 marks

Answer

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OR
710 marks
a

Explain about the Distortion less transmission through a system.

5 marks

Answer

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b

Write the differences between Linear Time Invariant (LTI) System and Linear Time Variant (LTV) System.

5 marks

Answer

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810 marks
a

Define Convolution Theorem in Time and Frequency domain and bring out the expression for convolution in Time domain.

5 marks

Answer

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b

Find the convolution of the signals x(t) = e^-2t u(t) and y(t) = e^-4t u(t).

5 marks

Answer

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OR
910 marks
a

Bring out the relation between Correlation and Convolution.

5 marks

Answer

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b

Explain the properties of Correlation function.

5 marks

Answer

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10

Prove that the signals x(t) = e^-at u(t) and x(t) = e^-at u(-t) have the same X(s) and differ only in ROC.

10 marks

Answer

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OR
1110 marks
a

Discuss the Concept of Region of Convergence (ROC) for Laplace Transforms.

5 marks

Answer

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b

Explain about the Constraints on ROC for various classes of signals.

5 marks

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