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Anna University Question Paper Code 71023
M.E./M.Tech. DEGREE EXAMINATION, JUNE/JULY 2013.
First Semester
Applied Electronics
AP 92111DS 9311/AP 91111LIAP 9114/10244 CM 104 — ADVANCED DIGITAL SIGNAL PROCESSING/STATISTICAL SIGNAL PROCESSING
( Common to M.E. Communication Systems, M.E. Computer and Communication, M.E. Digital Electronics and Communication Engineering and M.Tech. Information and Communication Technology and M.E. Digital Signal Processing)
(Regulation 2009/2010)
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PART A — (10 x = 20 marks)
1. Define statistical variance and covariance.
2. How do you compute the energy of a discrete signal in time and frequency domains?
3. Define sample auto correlation function. Give the mean value of this estimate.
4. What is the basic principle of Welch method to estimate power spectrum?
5. How will you find the ML estimate?
6. Give the basic principle of Levinson recursion.
7. Why are FIR filters widely used for adaptive filters?
8. State the properties of Widrow-Hopf LMT adaptive algorithm.
9. What is meant by image smoothing and image sharpening?
10. Give the two channel wavelet filter banks to decompose the input signal into frequency bands.
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