Anna University Chennai
Question Paper Code : 60073
M.E. DEGREE EXAMINATION, MAY/JUNE 2017
First Semester
Applied Electronics
AP 7101 — ADVANCED DIGITAL SIGNAL PROCESSING
(Common to M.E. Communication Systems/M.E. Communication and Networking/M.E. Digital Signal Processing/M.E. Electronics and Communication Engineering/M.E. Mobile and Pervasive Computing and M.E. Optical Communication)
(Regulations 2013)
Time : Three hours Maximum : 100 marks
Answer ALL questions.
PART A — (10 x 2 = 20 marks)
1. State the Wiener-Khinchine relation.
2. Define Gaussian random variable.
3. Differentiate between ARMA and AR models.
4. Differentiate parametric and non-parametric method of estimating the power spectrum.
5. State the properties of linear prediction error filters.
6. Write the Wiener-Hopf equation.
7. State the advantages of adaptive filters.
8. Mention the rules to be followed to select the mean of an adaptive filter.
9. List out the applications of sampling rate converters.
10. Design a decimator that down samples an input signal x(n) by a factor D = 2. Use the Remez algorithm to determine the coefficients of the FIR filter that has 0.1dB ripple in the pass band and is down by at least 60dB in the stop band, Also determine the polyphase filter structure in a decimator realization that employs polyphase filters.
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