Hello!! As per your demand here I am providing you syllabus of the Communication Engineering III of 6th Sem of EC of CUSAT


Module I
Entropy and Loss-less Source Coding:

Entropy, Entropy of discrete random variables- Joint, conditional and relative entropy- Chain rule for entropy, Mutual information and conditional mutual information, Relative entropy and mutual Information Lossless source coding- Discrete Memory-less sources, Uniquely decodable codes- Instantaneous codes- Kraft's inequality – Average codeword length, Optimal codes- Huffman coding, Arithmetic Coding, Lemplel-Ziv Coding, Shannon's Source Coding Theorem.


Module II
Channel Capacity and Coding Theorem:
Channel Capacity- Discrete memory-less channels (DMC) and channel transition probabilities, Capacity computation for simple channels- Shannon’s Channel Coding Theorem, Converse of Channel Coding Theorem Continuous Sources and Channels: Differential Entropy- Mutual information- Waveform channels- Gaussian channels- Shannon-Harley Theorem, Shannon limit, efficiency of digital modulation schemes-power limited and bandwidth limited systems.

Module III
Introduction to linear algebra-
Vector spaces-matrices. Coding – linear block codes-generator matrices-parity check matrices-encoder-syndrome and error correction-minimum distance-error correction and error detection capabilities- BCH codes-description-coding & decoding –Reed Solomon codes-coding & decoding cyclic codes-coding and decoding.

Module IV
Convolutional codes-encoder -state diagram-distance properties-maximum likelihood decoding-viterbi decoding-sequential decoding interleaved convolutional codes-Turbo coding- coding & decoding -Trellis coding- coding & decoding- Low-Density Parity check (LDPC) codes.

References:
1. John P Proakis&Salehi Digital Communication, McGrawHill,5/e, 2008, ISBN 9780070591172

2. Thomas M. Cover and Joy A. Thomas, Elements of Information Theory, Wiley India, ISBN 9788126508143

3. Shu Lin and Daniel. J. Costello Jr, Error Control Coding: Fundamentals and applications, Pearson India, 2/e.

4. Richard B Wells, Applied Coding and Information Theory , Pearson Education ,2009

5. J C Moreira Essentials of Error Control Coding Wiley India ,2006 ,ISBN 9788126528691

6. Bernard Sklar, Digital Communication Fundamentals and applications ,Pearson education , 2006

7. B. P. Lathi, Modern Digital and analog Communication Systems, Oxford University Press, 3/e

8. Ranjan Bose, Information Theory ,Coding and Cryptography ,Tata McGraw-Hill ,2/e, 2008

Contact Details:
Cochin University of Science and Technology
Thrikkakara, South Kalamassery, Kochi, Kerala 682022
Phone: 0484 257 7550