Information Theory and Coding detail syllabus for Electronics & Communication Engineering (Ece), 2017 scheme is taken from VTU official website and presented for VTU students. The course code (17EC54), and for exam duration, Teaching Hr/week, Practical Hr/week, Total Marks, internal marks, theory marks, duration and credits do visit complete sem subjects post given below.
For all other ece 5th sem syllabus for be 2017 scheme vtu you can visit ECE 5th Sem syllabus for BE 2017 Scheme VTU Subjects. The detail syllabus for information theory and coding is as follows.
Course Objectives:
This course will enable students to:
- Understand the concept of Entropy, Rate of information and order of the source with reference to dependent and independent source.
- Study various source encoding algorithms.
- Model discrete & continuous communication channels.
- Study various error control coding algorithms.
Module 1
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Module 2
Source Coding: Source coding theorem, Prefix Codes, Kraft McMillan Inequality property – KMI (Section 2.2 of Text 2). Encoding of the Source Output, Shannons Encoding Algorithm (Sections 4.3, 4.3.1 of Text 1). Shannon Fano Encoding Algorithm, Huffman codes, Extended Huffman coding, Arithmetic Coding, Lempel – Ziv Algorithm (Sections 3.6, 3.7, 3.8, 3.10 of Text 3).
Module 3
Information Channels: Communication Channels ( Section 4.4 of Text 1). Channel Models, Channel Matrix, Joint probabilty Matrix, Binary Symmetric Channel, System Entropies, Mutual Information, Channel Capacity, Channel Capacity of : Binary Symmetric Channel, Binary Erasure Channel, Muroga,s Theorem, Contineuos Channels (Sections 4.2, 4.3, 4.4, 4.6, 4.7 of Text 3).
Module 4
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Module 5
Some Important Cyclic Codes: Golay Codes, BCH Codes( Section 8.4 – Article 5 of Text 2).
Convolution Codes: Convolution Encoder, Time domain approach, Transform domain approach, Code Tree, Trellis and State Diagram, The Viterbi Algorithm) (Section 8.5 -Articles 1,2 and 3, 8.6- Article 1 of Text 2).
Course Outcomes:
At the end of the course the students will be able to:
- Explain concept of Dependent & Independent Source, measure of information, Entropy, Rate of Information and Order of a source
- Represent the information using Shannon Encoding, Shannon Fano, Prefix and Huffman Encoding Algorithms
- Model the continuous and discrete communication channels using input, output and joint probabilities
- Determine a codeword comprising of the check bits computed using Linear Block codes, cyclic codes & convolutional codes
- Design the encoding and decoding circuits for Linear Block codes, cyclic codes, convolutional codes, BCH and Golay codes.
Text Books:
- Digital and analog communication systems, K. Sam Shanmugam, John Wiley India Pvt. Ltd, 1996.
- Digital communication, Simon Haykin, John Wiley India Pvt. Ltd, 2008.
- Information Theory and Coding, Muralidhar Kulkarni, K.S. Shivaprakasha, Wiley India Pvt. Ltd, 2015, ISBN:978-81-265-5305-1.
Reference Books:
- ITC and Cryptography, Ranjan Bose, TMH, II edition, 2007
- Principles of digital communication, J. Das, S. K. Mullick, P. K. Chatterjee, Wiley, 1986 – Technology & Engineering
- Digital Communications – Fundamentals and Applications, Bernard Sklar, Second Edition, Pearson Education, 2016, ISBN: 9780134724058.
- Information Theory and Coding, K.N.Haribhat, D.Ganesh Rao, Cengage Learning, 2017.
For detail syllabus of all other subjects of BE Ece, 2017 scheme do visit Ece 5th Sem syllabus for 2017 scheme.
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