Code: 13A05305
B.Tech II Year I Semester (R13) Supplementary Examinations June 2022
SIGNALS AND SYSTEMS
(Common to ECE and EIE)
Time: 3 hours Max. Marks: 70
Answer all FIVE Questions
All questions carry equal marks
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-  (a) Explain different types of signals with examples. 
 (b) Determine whether the following signals are periodic or not. If periodic, determine the fundamental period:
 (i) x(t) = sin(6pt) + cos(12pt)
 (ii) x(t) = cos(t) + sin(v2t)
 (OR)--- Content provided by FirstRanker.com --- (a) Discuss about various elementary signals.
 (b) Determine whether the system described by the equation y(t) = x(t) + tx(t) is: (i) Linear (ii) Time-invariant (iii) Causal (iv) Stable.
-  (a) State and prove the following properties of Fourier Transform: 
 (i) Time shifting property
 (ii) Frequency shifting property--- Content provided by FirstRanker.com --- (b) Find the Fourier transform of the gate function defined by: x(t) = A for |t| < T/2 and x(t) = 0 for |t| > T/2.
 (OR)
 (a) Explain the concept of signal transmission through a linear system.
 (b) Find the Fourier transform of x(t) = e-atu(t), a > 0.
-  (a) Define the term 'energy spectral density' and 'power spectral density'. Explain how these are useful in signal analysis. --- Content provided by FirstRanker.com --- (b) Find the autocorrelation function of x(t) = Acos(?t).
 (OR)
 (a) Explain the relationship between autocorrelation and power spectral density.
 (b) Find the energy spectral density of x(t) = e-atu(t).
-  (a) State and prove the sampling theorem for band-limited signals. --- Content provided by FirstRanker.com --- (b) Explain the concept of aliasing.
 (OR)
 (a) Explain the reconstruction of the signal from its samples.
 (b) What is the effect of under sampling? Explain.
-  (a) Explain properties of Region of Convergence (ROC) of Laplace transform. --- Content provided by FirstRanker.com --- (b) Find the Laplace transform of x(t) = e-atu(t) and specify its ROC.
 (OR)
 (a) Find the inverse Laplace transform of X(s) = 1/(s+1)(s+2).
 (b) Discuss about the relation between Laplace transform and Fourier transform.
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