ANIL NEERUKONDA INSTITUTE OF TECHNOLOGY & SCIENCES (AUTONOMOUS)
3/4 B.Tech I-Semester Regular Examinations December - 2023
SIGNALS, SYSTEMS AND STOCHASTIC PROCESSES
(ECE)
Date: Time: 3 hours Max. Marks: 70
Answer ONE Question from each unit
All Questions Carry Equal Marks
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UNIT-I
- a) Define Signal and System. Explain different types of signals and systems with examples. (7M)
- b) Check whether the given system y(t)=x(t)cos(t) is i) Static/Dynamic ii) Linear/Non-linear iii) Causal/Non-causal iv) Time variant/Time-invariant (7M)
- a) Determine the Fourier series representation of the half wave rectified sine wave as shown in Fig.1 (7M)
- b) Explain Dirichlet’s conditions for existence of Fourier series. (7M)
OR
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UNIT-II
- a) State and prove properties of Fourier Transform. (7M)
- b) Find the Fourier transform of the signal x(t)=e-atu(t). (7M)
- a) State and prove sampling theorem for band limited signals. (7M)
- b) Explain the concept of aliasing. How can it be avoided? (7M)
OR
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UNIT-III
- a) Define Convolution. Explain properties of Convolution. (7M)
- b) Determine the convolution of the signals x(t)=e-2tu(t) and h(t)=u(t+2). (7M)
- a) Explain the concept of causality and stability of LTI systems. (7M)
- b) Find the transfer function, impulse response and check for causality and stability of the system described by the differential equation d2y(t)/dt2 + 5dy(t)/dt + 6y(t) = x(t) (7M)
OR
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UNIT-IV
- a) Define Random variable. Explain different types of Random variables with examples. (7M)
- b) Define probability density function and write its properties. (7M)
- a) State and prove properties of Random Process. (7M)
- b) Explain Gaussian Random Process. (7M)
OR
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UNIT-V
- a) Define auto correlation and cross correlation functions and write its properties. (7M)
- b) Derive the relation between Power Spectral Density (PSD) and Auto Correlation Function. (7M)
- a) Explain the concept of Linear Time Invariant system with a random process input. (7M)
- b) Derive the relation between input and output of PSD for an LTI system. (7M)
OR
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