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Download JNTUK M-Tech 2020 R19 EEE Advanced Digital Signal Processing Model Question Paper

Download JNTUK (Jawaharlal Nehru Technological University Kakinada (JNTU kakinada)) M.Tech (ME is Master of Engineering) 2020 R19 EEE Advanced Digital Signal Processing Model Previous Question Paper

This post was last modified on 28 April 2020

JNTUK M.Tech R19 2020 Model Question Papers || JNTU kakinada (All Branches)


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[M19PS1108]

I M. Tech I Semester (R19) Regular Examinations

ADVANCED DIGITAL SIGNAL PROCESSING

Electrical & Electronics’ Engineering Department

MODEL QUESTION PAPER

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TIME: 3Hrs. Max. Marks: 75 M

Answer ONE Question from EACH UNIT.

All questions carry equal marks.


CO | KL | M

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UNIT-I

  1. a) What is multi rate signal processing? Explain any two applications of multi rate signal processing? 1 K2 | M
    b) Derive the frequency domain transfer function of a decimator. 1 K3 | M
    OR
  2. a) Write a brief notes on lattice structures. Mention the advantages of lattice structures 1 | K1 | 8M

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    b) Draw and explain the lattice ladder structure for realization of pole zero system 1 | K1 | 7M

UNIT-II

  1. a) Give a brief account of poly phase filter structures. 2 K1 | 7M
    b) Discuss clearly the process of sampling rate conversion of band pass signals. 2 K2 | M
    OR
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  3. Explain in detail Bilinear transformation method of IIR filter design 2 K2 | 15M

UNIT-III

  1. Discuss about the computation of the discrete Fourier transform with an example 3 K2 | 15M
    OR
  2. Explain in detail about Tunable digital filters 3 | K2 | 15M
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UNIT-IV

  1. a) What are the quantization errors in FFT algorithm? Explain them. 4 K2 | 15M
    b) Explain about the errors result that from the truncation and rounding with an example 4 | K2
    OR
  2. Discuss the procedure for the design of IIR filters and what are the constraints in the design of IIR filters using analog structures 4 K2 | 15M
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UNIT-V

  1. a) What is the basic principle of parametric methods in power spectral estimation? Discuss various techniques in parametric method. 5 K2 | M
    b) Derive the mean and variance of the power spectral estimate of the Blackman Tuckey method. 5 K3 | M
    OR
  2. Determine the mean and the auto correlation of the sequence x(n) generated by the MA(2) process described by the difference equation. X(n) = w(n) -2 w(n-1) + w(n-2) Where w(n) is the white noise process with variance ¢w. 5 | K3 | 15M
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