Sources‐memoryless and Markov; Information; Entropy; Extended sources; Shannon’s noiseless
coding theorem; Source coding; Mutual information; Channel capacity; BSC and other channels;
Shanon's channel capacity theorem; Continuous channels; Comparison of communication
systems based on Information Theory; Channel Coding‐block and convolutional. Block
codesmajority logic decoding; Viterbi decoding algorithm; Coding gains and performance

1. Shu Lin & Daniel J. Costello.Jr., Error Control Coding : Fundamentals and Applications,
Prentice Hall Inc.,Englewood Cliffs, NJ.

2. Thomas M. Cover, Joy A. Thomas, Elements of Information theory, 2nd ed., John Wiley &
Sons Pvt. Ltd.

3. Simon Haykin. Communication Systems, 3rd ed., John Wiley & Sons Pvt. Ltd.
4. Taub & Schilling. Principles of Communication Systems, 2nd ed., TataMcGraw Hill, New
Delhi.

5. Das, Mullick & Chatterjee. Principles of Digital Communication, Wiley Eastern Ltd.

6. The theory of error‐correcting codes by F. J. MacWilliams and N. J. A. Sloane (North‐ Holland
publishers).

7. Algebraic codes for data transmission by Richard Blahut (Cambridge)

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