NEC-408
(Following Paper ID and Roll No. to be filled in your Answer Book)
PAPER ID : 131408
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Roll No.
B. Tech.
(SEM. IV) THEORY EXAMINATION, 2014-15
INFORMATION THEORY AND CODING
Time: 3 Hours]
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[Total Marks: 100
SECTION-A
1. Attempt any four parts: 5×4=20
- What do you mean by measure of information?
- Give a review of probability theory.
- Explain Average information content of symbol in long independent sequence.
- Consider a discrete memory less source alphabet A={s0,s1,s2} with respective probabilities P0=1/4, P1=1/4, P2=1/2 find, the entropy of the source.
- Show that if there are 'M' numbers of equally likely message then entropy of source is log2M.
- Explain Mark-off statistical model for information source in brief
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SECTION - B
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2. Attempt any four parts: 5×4=20
- What do you mean by data compression and give its type ?
- Give an equation for Kraft inequality and explain it.
- Write down Shannon's encoding algorithm.
- Write an algorithm for Shannon-Fano-Elias coding.
- Explain LZW compression algorithm with example.
- What is block code and write its properties.
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SECTION-C
3. Attempt any two parts: 10×2=20
- Differentiate entropy and mutual information for continuous ensembles with suitable example.
- Explain discrete communication channels in detail.
- Write down channel capacity theorem.
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SECTION-D
4. Attempt any two parts: 10×2=20
- Explain error correction and detection with examples.
- Write a note on standard arrays and table look up for encoding.
- What is an error? Give its types with example.
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SECTION-E
5. Attempt any two parts: 10×2=20
- What is burst error correcting code and convolution code?
- Explain the encoding using an (n-k) bit shift register.
- Write short note on
- BCH code
- Golay code.
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