Saturday, August 9, 2014

IMAGE PROCESSING [ELECTIVES] MAY 2012 ELECTRONICS AND TELECOMMUNICATION SEMESTER 8

IMAGE PROCESSING [ELECTIVES] MAY 2012 ELECTRONICS AND TELECOMMUNICATION SEMESTER 8

Con. 4479-12.                         (REVISED COURSE)                                        GN-8375
                                                      (3 Hours)                                          [Total Marks : 100]

N. B. : (1) Question No. 1 is Compulsory.
           (2) Attempt any four questions out of remaining six questions.
           (3) Figures to the right indicate full marks.

1.Justify the following statements :-20
(a) Poorly illuminated images cannot be easily segmented.
(b) The median filtering perfoms well in images corrupted by impulse noise.
(c) If kernel of an binze transform is seperable and symmetric, the transform
     can be expressed in matrix form.
(d) The first derivate of chain code mormalize it to rotation.
(e) the entropy of an image is maximized by histogram equalization.

2. (a)

     

6
length N. Show that N2 orthogonal patterns (basic images) of size N x N
can be generated using the sequences. Prove the orthogonality of
these patterns.
    (b)Write first four Hass sequences of length N =4, using these sequences6
generate 16 orthogonal Hass patterns.
    (c)Using folloowing three orthogonal sequences show that 9 orthogonal8
patterns of size 3 x 3 can be generated. Give all patterns.


3. (a)

What is histogram of a digital image ? What information one can get by

8
observing the histogram of images ?
    (b)Histogram of a digital binze with eight quantization level is given below.12
Perform histogram equalisation. Derive the transformation function
and new histogram.

4. (a)

Write 8 x 8 Harr matrix and prepare butterfly diagram to compute Harr

10
coeffcidents of a sequence of length n = 8.
    (b)Using above diagram compute Harr cofficidents of the following sequence.10
                f(x) = {1 2 3 4 4 3 3 1}
Evaluate the energy in each of the transform cofficidents.

5. (a)

What is 2-DDFT ? State the properties of DFT matrix applicable to

6
images.
    (b)Write the expression for 1-D and 2-D. Discrete cosine transform.6
State its usefulness in image processing.
    (c)Obtain 2-D DFT of following 3 x 3 image.8





6. (a)

What is image compression ? Explain different types of reduncies.

6
    (b)Explain the basic principle of transform coding for image compression and7
illustrate the save with the help of Discrete Fourier Transform (DFT) and
Discrete Cosine Transform (DCT).
    (c)Find a set of code words and average word length using Hoff man coding7
scheme with symbol having different probabilities as given.


7.

Write short notes on :-

20
      (a) Texture analysis
      (b) Fourier Descriptors
      (c) Image Restoration
      (d) K-L transform
      (e) Moments.

IMAGE PROCESSING [ELECTIVES] MAY 2008 ELECTRONICS AND TELECOMMUNICATION SEMESTER 8

IMAGE PROCESSING [ELECTIVES] MAY 2008 ELECTRONICS AND TELECOMMUNICATION SEMESTER 8

Con.3430-08.                                  (REVISED COURSE)                          CO-3487

                                                             (3 Hours)                                   [Total Marks:-100]

N.B:- (1) Question No.1 is compulsory.
         (2) Attempt any four out of remaining six questions.
         (3) Figures to the right indicate full marks.
         (4) Assume suitable data wherever necessary and justify the same.

1. (a) Consider the image segment shown below:- [5 Marks]
               3   1   2   1 (q)
               2   2   0   2
               1   2   1   1
         (p) 1   0   1   2
              Compute the lengths of the shortest 4, 8 and m-path between p and q.
     (b) Explain Morphological thining algorithm. [5 Marks]
     (c) Justify 'Quality of picture depends on no. of pixels and gray-levels. [5 Marks]
     (d) Obtain the slant transformation of the image f(x,y) [5 Marks]
           
2. (a) Explain the separability and translation property of Discrete Fourier transform for an
         image. [10 Marks]
     (b) The square is represented by co-ordinates (1,1), (3,1), (1,3)and (3,3). If the square is
           rotated by 45˚ clockwise and shifted by 2 units, obtain its new co-ordinates. [10 Marks]

3. (a) Gray level Histogram of an image is given below:- [10 Marks]
     
         Compute the gray level Histogram of the output image obtained by enhancing the input
         by histogram equalization technique. Draw input, output histogram along with its transfer
         function.
    (b)Apply prewitt and Laplacian operators on given image segment. use appropriate threshold.
        Give output image before and after thresholding. [10 Marks] 

4. (a) Write first four wash sequence of length N=4. Using these sequences generate sixteen
          orthogonal walsh patterns. [10 Marks]
    (b) Draw and explain block diagram of IPEG Encoder and Decoder. [10 Marks]

5. (a) Generate Huffman code for the given source. Calculate Entropy of the source, average
          length code word and Huffman efficiency. [12 Marks]                                                                                 
    (b) Consider an 8-pixels line of gray scale data as {12,12,13,13,10,13,57,54}. Which has
          been uniformly quantized with 8 bit accuracy. Construct its IGS code. State and explain
          in brief the type of redundancy which is exploited here to achieve compression. [8 Marks] 

6. (a) Define opening and closing operations. perform these operations on following image
         segment with given structuring element:- [10 Marks]
          
                      Image Segment                             Structuring Element
    (b) For given boundary compute 4 path chain code find first difference, circular first
         difference shape number and order of boundary. [10 Marks]

                       
7. Write short notes on(any four):- [20 Marks]
     (a) Pseudo color Image Processing
     (b) Arithmetic Coding
     (c) Brightness Adaption and Discrimination
     (d) Region-oriented segmentation.
     (e) Texture
     (f) Moments

DISCRETE TIME SIGNAL PROCESSING (DTSP) Semester 7 (3 Hours) May 2014

DISCRETE TIME SIGNAL PROCESSING
DISCRETE TIME SIGNAL PROCESSING (DTSP)
Semester 7
(3 Hours) May 2014
    MV-19989 
   [Total Marks : 100]
       
N.B. : (1) Question No. 1 is compulsory.  
  (2) Attempt any four questions out of remaining six questions.  
  (3) Assumptions made should be clearly stated.  
  (4) Figures to the right indicate full marks.  
       
1. (a) Obtain a digital filter transfer function H(ω) by applying Imputse invariance transformation on the analog TF.

Ha(s) = s/s2 + 3s + 2 Use fs = 1 K samples/sec.

05
  (b) Consider a filter with TF :
     H(z) = (z-1 - a) / (1 - az-1)
Identify the type of filter and justify it.
05
  (c) Find the number of complex multiplications and complex additions required to find DFT for 32 point sequence. Compare them with the number of computations required if FFT algorithm is used. 05
  (d) Consider the sequence x(n) = δ(n) + 2δ(n - 2) + δ(n -3).
Find DFT of x(n).
05
       
2. (a) A sequence is given as x(n) = {1 + 2j, 1 + 3j, 2 + 4j, 2 + 2j}
     (i) Find X(k) using DIT-FFT algorithm.
     (ii) Using the results in (i) and not otherwise find DFT of p(n) and q(n) where
             p(n) = { 1, 1, 2, 2}
             q(n) = { 2, 3, 4, 2}
06
  (b) X(K) = +36, -4 + j9.656, -4 + j 1.656, -4, -4 -j 1.656, -4 -j4, -4 -j9.656
Find x(n) using IFFT algorithm (use DIT IFFT).
10
  (c) Explain the properties of symmetricity and periodicity of phase factor. 04
       
3. (a) By means of FFT-IFFT method (DIT algo) Compute Circular convolution of
     x(n) = {2, 1, 2, 1}     h(n) = {1, 2, 3, 4}
08
  (b) An 8 point sequence x(n) = {1, 2, 3, 4, 5, 6, 7, 8}
 
(i) Find X(K) using DIF FFT algorithm
(ii) Let x1(n) = {5, 6, 7, 8, 1, 2, 3, 4} Using appropriate DFT property and answer of previous part, determine  x1(K)
(iii) Again use DFT property and find  X2(K) where  x2(n) = x(n) +  x1(n).
12
       
4. (a) Draw the Lattice filter realization for the all pole filter

     H(z) = 1/1+3/4z-1 +1/2z-2 +1/4z-3

10
  (b) Obtain DF-I, DF-II, cascade (First order sections) and parallel (First order sections) structures foe the system describe by
     y(n) = -0.1 y( n -1) +0.72 y(n - 2) + 0.7 x(n) - 0.252 x(n -1).
10
     
5. (a) Design a  FIR low pass digital filter using Hamming window for N = 7
 Hd(ejw) = e-3jω -0.75Π < ω < 0.75Π
                =0 0.75Π < | ω | < Π
10
  (b) A LPF has following specifications :-
0.8 <  | H (ω | < 1 for   0 < ω < 0.2Π
          | H(ω | < 0.2 for   0.6Π  < ω <  Π

Find filter order and analog cut off frequency if
  (i) Bilinear transformation is used for designing
  (ii) Impulse invariance is used for designing

10
       
6. (a) Explain up sampling by an integer factor with neat diagram and waveforms. 10
  (b) Explain the need of a low pass filter with a decimator and mathematically prove that ωy = ωxD. 10
       
7. Write notes on any four of the following :- 20
  (a) Frequency sampling realization of FIR filters  
  (b) Goertzel algorithm  
  (c) Set top box for digital TV reception  
  (d) Adaptive echo cancellation  
  (e) Filter banks.  

Friday, August 8, 2014

IMAGE PROCESSING [ELECTIVES] MAY 2011 ELECTRONICS AND TELECOMMUNICATION SEMESTER 8

IMAGE PROCESSING [ELECTIVES] MAY 2011 ELECTRONICS AND TELECOMMUNICATION SEMESTER 8

1.Answer the following question :-20
(a) Is the Huffman code optical ? Prove with an example.
(b) Justify 'Quality of picture depends on the number of pixels and grey levels'.
(c) Explain slant transform.
(d) Justify/ contradict 'for digital Image having salt and pepper noise, median
filter is the best'.

2. (a)Explain the following Image Enhancement Techniques with application :-15
        (i) Intensity level slicing
        (ii) Range Compression
       (iii) Edge detection.
    (b)Compare between contrast stretching and histogram equalization.5

3. (a)

A 8 level image is given below :-

10













Prepare the histogram of the given image.
Perform Histogram equalization and draw New Histogram.
    (b)A source emits 8 symbols with the probabilities given :-10





Obtain Huffman code and calculate entropy, average code word length and coding
efficiency.
4. (a)Name different types of image segemenation techniques. Explain the splitting and10
merging technique with the help of an example.
    (b)Apply slant transform and DCT transform on the given image and compare the10
result.
5. (a)What is Hadamard Transform ? Write a 4 x 4 Hadamard matrix and its application.10
Is H(4) Orthogonal and Normalized.
(b)Apply Low and High Pass Spatial masks on the following image matrix. Prove10
that High Pass = Original - Lowpass. Assume virtual Rows and Columns.
6. (a)Compare :-10
      (i) Lossy and Lossless compression.
      (ii) Objective fidelity criteria and subjective fidelity criteria.
    (b)Explain segmentation based on discontinuty and segmentation based on10
similarities.
7.Write short notes on any four of the follwoing :-20
      (a) Haar Transform
      (b) Frequency domain filtering
      (c) Wiener Filtering
      (d) Spatial domain filtering
      (e) Connectivity of Pixels

IMAGE PROCESSING [ELECTIVES] DECEMBER 2008 ELECTRONICS AND TELECOMMUNICATION SEMESTER 8

IMAGE PROCESSING [ELECTIVES] DECEMBER 2008 ELECTRONICS AND TELECOMMUNICATION SEMESTER 8

Con.5796-08                                  (REVISED COURSE)                          RC-7328

                                                               (3 Hours)                               [Total Marks:-100]

N.B: (1) Question No.1 is compulsory.
        (2) Attempt any four questions from remaining six.

1. (a) A CCD camerachip of dimensions 7 x 7 mm and having a resolution of 1024 x 1024
         element is focused on a square flat area, located 0.5m away. How many line pairs/mm
         will this camera be able to resolve. The camera is equipped with a 35 mm lens. [5 Marks]
    (b) Explain the process of image averaging. [5 Marks]
    (c) Explain intensity slicing technique used in pseudocolor image processing. [5 Marks]
    (d) A binary image contains straight lines oriented horizontally, vertically at 45˚ and at-45˚. Give
         a set of 3 x 3 masks that can used to detect 1-pixel long breaks in these lines. Assume that
         gray level of the lines is 1 and gray level of background is zero. [5 Marks]

2. (a) Consider the images shown. The image on right is obtained by- [10 Marks]
           (i) Multiplying image on left by (-1)
          (ii) By computing DFT.
         (iii) taking complex conjugate of transform
         (iv) computing inverse of DFT
         (v) Multiplying the real part by (-1)
              Explain (mathematically) why image on right appears as it does.

                

       (b) Suppose that you are given a set of images generated by an experiment dealing with stellar
             events. Each image consists of a set of bright, widely scattered dots corresponding to
             stars in sparsely occupied section of universe. The problem is that stars are barely visible,
             due to superimposed illumination resulting from atmospheric dispersion. If these images
             are modelled as a product of constant illumination component with a set of impulses,
             give an enhancement procedure based on homomorphic filtering designed to bring out
             the image components due to stars themselves.      

3. (a) Find the edge corresponding to minimum cost path in subimage as shown. [15 Marks]
         Assume that edge starts in first column and ends in last column.
    (b) Justify: Poorly illuminated images cannot be segmented easily. [5 Marks]

4. (a) Explain the following boundary descriptors- [10 Marks]
          (i) Statistical moments
         (ii) Shape numbers
    (b) What is limiting effect of repeatedly - [10 Marks]
          (i) Dilating an image
          (ii) Eroding an image
               Assume that

5. (a) Explain use of LZW coding for image compression. [10 Marks]
    (b) Describe JPEG 2000 image compression standard. [10 Marks]

6. (a) What would be effect of setting to zero the lower order and higher order bit planes in
          general on histogram of image. [6 Marks]
    (b) Show that Laplacian operation is invariant to rotation. [7 Marks]
    (c) Discuss the limiting effect of repeatedly applying 3 x 3 low pass spatial filter to a digital
         image. Ignore border effects. [7 Marks]

7. (a) For given orthogonal matrix A and image u. [10 Marks]
         Find the transformed image and basis images.
    (b) Find Euler number of following regions. [5 Marks]

    (c) Explain CMY and CMYK color models. [5 Marks]

Thursday, August 7, 2014

DISCRETE TIME SIGNAL PROCESSING (DTSP) Semester 7 (3 Hours) December 2013

DISCRETE TIME SIGNAL PROCESSING
DISCRETE TIME SIGNAL PROCESSING (DTSP)
Semester 7
(3 Hours) December 2013
    LJ-13936 
   [Total Marks : 100]
       
N.B. : (1) Question No. 1 is compulsory.  
  (2) Attempt any four questions out of remaining six questions.  
  (3) Assumptions made should be clearly stated.  
       
1. (a) Transfer functions of casual and stable digital filters are given below. State whether these filters are
Minimum . Maximum / Mixed Phased filters
 
(i) H1(Z) (1-1/2z)(1-1/4z)
________________
(Z-1/3)(Z-1/5)
(ii) H2(Z) (1-1/2z)(1-1/4z)
_________________
(Z-1/3)(Z-1/5)
(iii) H3(Z) (1-1/2z)(1-1/4z)
_________________
(Z-1/3)(Z-1/5)
20
  (b) Compute DFT of the sequence X1,(n) = {1, 2, 3, 4} using property and not otherwise compute DFT of X2,(n) = {1+j, 2+2j, 4+4j, 2+2j}  
  (c) The impulse response of a system is h(n) = an u(n), a ≠ 0. Determine a and sketch pole zero plot for this system to act as :-

  (i) Stable low pass filter.
  (ii) Stable high pass filter.
 
  (d) Draw direct form structure for a filter with transfer function,
H(z) = 1 + 3z-1 +2z-3 + 4z-4
 
       
2. (a) Consider a filter with impulse response, h(n) = {0.5, 1, 0.5}. Sketch its amplitude spectrum. Find its response to the inputs

  (i) X1(n) = cos (nΠ/2)
  (ii) X2(n) = 3 + 2 δ (n) -4 cos (nΠ/2)
10
  (b) Determine circular convolution of x(n) = {1,2,1,4} and h (n) = {1,2,3,2} using time domain convolution and radix-2FFT. Also find circular correlation using time domain correlation. 10
       
3. (a) Explain overlap and add method for long filtering. Using this method find output of a system with impulse response, h(n) = {1,1,1} and input x(n) = {1, 2, 3, 3, 4, 5}. 10
  (b) Compute DFT of a sequence, x(n) = {1,2,2,2,1,0,0,0} using DIF-FFT algorithm. Sketch its magnitude spectrum. 10
       
4. (a) Draw lattice filter realization for a filter with the following transfer function.
H(z) = 1/1 + 13/24Z-1 +5/8z-2 +1/3z-3
10
  (b) Design a low pass Butter worth filter with order 4 and passband cut off frequency of 0.4Π. Sketch pole zero plot. Use Bilinear transformation. Draw direct form II structure for the designed filter. 10
     
5. (a) Design an FIR Bandpass filter with the following specifications :-
     Length : 9
     stop band cut off frequency : 0.7Π
     Use Hanning window.
10
  (b) The transfer function of a filter has two poles at z=0, two zeroes at z=-1 and a dc gain of 8. Final transfer function and impulse response.

Is this a casual or noncasual filter?
is this a linear phase filter?
If another zero is added at z =-1 find transfer function and check whether it is a linear phase filter or not.
10
       
6. (a) Transfer function of an FIR filter is given by H(z) = 1-z-N
Sketch pole zero plots for N = 4 and N = 5
Prove that it is a comb filter.
10
  (b) Write about frequency sampling realizationof FIR filters. 10
       
7. (a) Explain the process of decimation for reducing sampling rate of signal. 10
  (b) Compare various windows used for designing FIR filters. 10

B.E. Electronics & Telecommunication, Wireless Networks (WN), Semester 8, December 2012.

B.E. Electronics & Telecommunication,

Wireless Networks (WN), Semester 8, December 2012.
Con. 10020-12
KR- 5094
(REVISED COURSE)

(3 Hours)
[Total Mark: 100]
N.B. (1) Question No 1 is compulsory.

(2) Attempt any four questions out of remaining six questions.

(3) Draw neat sketches wherever required.

(4) Assume suitable data if required.

1. (a) What is role of General Packet Radio Services (GPRS) in the GSM. ---- (5 Marks)

(b) Why is power control used in CDMA 2000 and WCDMA? ---- (5 Marks)

(c) Explain the security aspect of Bluetooth. ----- (5 Marks)

(d) Write various uses of Wireless Sensor Network. ---- (5 Marks)

2. (a) Explain UMTS network reference architecture in detail. ----- (10 Marks)

(b) Discuss QoS attributes used in UMTS. ----- (10 Marks)

3. (a) Discuss the forward and reverse link channels in CDMA 2000.----- (10 Marks)

(b) Explain evolution of IS – 95 in detail. --- (10 Marks)

4. (a) Explain Link budget analysis and requirements of wireless network. ---- (10 Marks)

(b) Draw and explain WAP programming model in detail. ---- (10 Marks)

5. (a) Define and explain different terms used in Bluetooth. ---- (10 Marks)

(b) Explain wireless sensor network protocol stack in detail. ----- (10 Marks)

6. (a) Compare all versions of IEEE 802.11 WLAN. ----- (10 Marks)

(b) Give the advantages, disadvantages and application of WAP. ---- (10 Marks)

7. (a) Compare CDMA 2000 and WCDMA. ----- (10 Marks)

(b) Write a short note on RFID. ---- (10 Marks)