STUPIDSID
1 (a)
Explain classification of Discrete systems.
5 M
1 (b)
Prove that DFT is orthogonal transform.
5 M
1 (c)
Explain image fidelity criteria.
5 M
1 (d)
Unit step signal is a power signal. Justify.
5 M
2 (a)
Check whether the following systems are linear/nonlinear and Time variant/Time invariant.
i) y(n)=ex(n)
ii) y(n)=n x(n)
i) y(n)=ex(n)
ii) y(n)=n x(n)
10 M
2 (b)
Find the Z-transforming signals and sketch ROC. \[ i) \ x(n) = \left ( \dfrac {1}{4} \right )^n u (n) \\ ii) \ x(n) = \left ( \dfrac {1}{2} \right )^n u(-n-1) \]
10 M
3 (a)
Explain Decimation is time FFT algorithm with signal flow graph.
10 M
3 (b)
Determine circular convolution of two sequences
x1(n)={1,2,3,1}
x2(n)={4,3,2,2}
x1(n)={1,2,3,1}
x2(n)={4,3,2,2}
10 M
4 (a)
Explain region based image segmentation techniques.
10 M
4 (b)
Explain image enhancement techniques in spatial domain.
10 M
5 (a)
Explain various types of redundancies in an image. Specify techniques to remove redundancies.
10 M
5 (b)
Construct improved gray scale quantization code for given data
{100, 110, 124, 124, 130, 110, 200, 210}
{100, 110, 124, 124, 130, 110, 200, 210}
10 M
6 (a)
Explain trimmed average filtering and median filtering with example.
10 M
6 (b)
Compute DFT of the given image
10 M
Write short notes on any four:
7 (a)
Hough transform
5 M
7 (b)
Histogram Equalization
5 M
7 (c)
Wiener filter
5 M
7 (d)
Noise models
5 M
7 (e)
Walsh Hadamard Transform.
5 M
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