Information theory and coding
Previous year question paper with solutions for Information theory and coding
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- Give the application of Syndrome.
- How does Hamming Code result into increase in overhead with increase in number of data bits?
- What is fixed length and variable length coding techniques?
- Explain the meaning of Binary Symmetrical Channel (BSC).
- Define Entropy and its application.
- Comment on Mutual information.
- Why do cyclic codes name so?
- Establish relation among various units of Information : bits, Hartleys, nats.
- Explain Hamming distance.
- Give importance of generator matrix.
- Define Entropy.
- What is coding efficiency?
- Give differences between Discrete and Continuous communication channel.
- Prove that : H(XY)=H(Y/X)+H(X)
- Prove that the trans information of a continuous system is non-negative.
- What is Information Theory?
- How is channel capacity calculated?
- Define linear block codes.
- Compare arithmetic coding algorithm with Huffman coding.
- Define constraint length of Convolution Code.
- Write a short note on : Kraft inequality
- Prove that the mutual information of a channel is symmetric.
- What is ARQ? State its types.
- For a repetition code having two symbols 00000 and 11111 being transmitted, find the new dmin if two symbols are erased due to a noisy channel.
- What do you meant by generator matrices of the cyclic codes?
- Write the steps for decoding of BCH codes.
- Write short note on decoding methods of convolutional codes.
- Write short note on Hamming distance and code efficiency.
- Explain in brief Go Back N ARQ system.
- What do you meant by matrix description of cyclic codes?