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B.E-B.E Electronics and Tele-Communication Engineering Advanced Digital Signal Processing (Sathyabama University, Chennai, Tamil Nadu-2010)

Friday, 23 August 2013 03:26Duraimani
SATHYABAMA UNIVERSITY
(Established under section 3 of UGC Act,1956)
Course & Branch :B.E - ETCE
Title of the Paper:Advanced Digital Signal Processing         Max. Marks :80
Sub. Code :525505/625501                                                      Time : 3 Hours
Date :26/04/2010                                                                      Session :AN
                                       PART - A                    (10 x 2 = 20)
                        Answer ALL the Questions
1.     Why Barrel Shifters are present in DSP architecture?
2.     Differentiate between pipelining and parallelism.
3.     What is a circular buffer in a DSP architecture?
4.     If the current contents of AR3 is 200h; What will be its contents after* AR3?
5.     State Parseval’s theorem.
6.     Justify that for a random process auto covariance and auto correlation are equal.
7.     State the principle of Newton’s steepest descent method.
8.     Mention the applications of adaptive filters.
9.     Draw the block diagram of a decimator.
10.   State spectral factorization theorem.

PART – B                       (5 x 12 = 60)
Answer All the Questions
11.   (a) List the major architectural features used in a digital signal processor to achieve high speed of program execution.
        (b) Describe the circular addressing mode in detail.
(or)
12.   Describe the barrel shifter and multiplier/adder unit of TMS320C54X processor with their functional diagram.
13.   Elaborate on the following TMS320C54X instruction MAC,MACD,RPT,RPTB.
(or)
14.   Give 2 examples for each group of instructions (with pneumonics)
        (a) Load and store operations.
        (b) Logical operations.
        (c) Program control operation.
        (d) Arithmetic operation.
15.   For WSS process derive the following.
        Py(z) = Px(z) H(z) H*(1/z*).
(or)
16.   Define power density spectrum. Elaborate on its properties.
17.   Describe the Levinson recursion algorithm for solving toeplitz system of equations.
(or)
18.   Explain how Wiener filter is useful in filtering and prediction.
19.   (a) Arrive at the spectrum of the interpolated sequence.
        (b) Describe one application of subband coding.
(or)
20.   (a) Discuss the Welch method of power spectrum estimation.  (9)
        (b) Differentiate between AR and ARMA signal modeling. (3)   

  

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