Topic outline

  • Satellite Communication


  • Introduction


    Rationale: Information theory and coding  is one of the vital areas in Telecommunication, Information Technology, Electrical and Electronic Branches.  Information theory and coding  is a regular course for ETE, CSE, IT and EEE students, both in Undergraduate and in Post Graduate Level. Information theory and coding  has also found applications in all engineering disciplines. However, critical understanding of the concepts from both theoretical and practical dimension is still lacking. This program will help the faculty and students to bridge this gap and enable them to better concepts for real life applications. In this region, there is a certain scope to enrich the research activities as well as industrialization.  This course will be effective for the students, engineer, and industry personnel for enhancing the quality assessment of satellite communication system.

    Objective:   At the end of the course, the students will be able to:

    ·         Build an understanding of the basic ideas of  Information theory and coding system. 

    ·         Familiarize the student with the fundamental classification and terminology of the the application of different coding in the channel.

    ·         Introduce the student to understand the advanced  Information system.

    ·         Prepare the student for entry advanced research in Information theory and coding perspective.

    ·         Allow the student to gain expertise in some specific areas of signal and coding  such as the design, broadcast and maintenance of individual broadcast network. 


  • Lecture-1-2:-3 Information theory basics: Channel coding (part 1, part2)


  • Lecture-4-5-6: Error detection and correction part 1


  • Lecture7-8: Error detection and correction part 2


  • Lecture-9-10: dB calculations for Information theory


  • Lecture-11-12: Error Control and flow control


  • Lesson 13-14: Digital Information and communication over the channel

  • Lecture 15-16: Multiple Access part 1


  • Lesson 17-18: Multiple Access Part2 and Error Detection and Correction


  • Lecture 21-22: Huffman coding Part2


  • lecture 23-24: Convolution Encoding for Information theory Part 1


  • Lecture 25-26: Convolution Encoding for Information theory Part 2


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