Paper Code: ETIT 312	L          T          C
Paper: Digital Communication – II	3           1           4

UNIT - I

Information, channel capacity, The concept of amount of information, entropy, Information rate, Conditional and joint entropies.

UNIT - II

Source coding:

Noise less coding, Shannon's first fundamental theorem, Discrete memory less channel, Mutual information, Sources with finite memory, Markov sources, Shannon's second fundamental theorem on coding, Huffman coding, Lempel – Ziv algorithm, Shannon-Fano algorithm.

UNIT - III

Channel coding :

Error detecting codes, Hamming distance, Error correcting codes, Repitition codes, Linear block codes, binary cyclic codes, BCH codes, Reed-Soleman codes, Golay codes.

UNIT - IV

Convolution Coding:

Code tree, state diagram, Trellis diagram, Maximum-Likelihood decoding – Viterbi's algorithm, sequential decoding.
Network information theory, introduction to Cryptography

TEXT BOOKS:

1. S. Haykins, “Digital Communications”, Wiley, 2000.

REFERENCE BOOKS:

1. T M Gover, J M Thomos, “Elements of Information Theory”, Wiley, 1999.
2. J G Proakis, “ Digital Communications”, Mc Graw Hill, 2001.