sc JNTUH B.TECH R18 3-1 Syllabus For Information theory & coding PDF 2022 – Cynohub


JNTUH B.TECH R18 3-1 Syllabus For Information theory & coding PDF 2022


JNTUH B.TECH R18 3-1 Syllabus For Information theory & coding PDF 2022

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You will be able to find information about Information theory & coding along with its Course Objectives and Course outcomes and also a list of textbook and reference books in this blog.You will get to learn a lot of new stuff and resolve a lot of questions you may have regarding Information theory & coding after reading this blog. Information theory & coding has 5 units altogether and you will be able to find notes for every unit on the CynoHub app. Information theory & coding can be learnt easily as long as you have a well planned study schedule and practice all the previous question papers, which are also available on the CynoHub app.

All of the Topic and subtopics related to Information theory & coding are mentioned below in detail. If you are having a hard time understanding Information theory & coding or any other Engineering Subject of any semester or year then please watch the video lectures on the official CynoHub app as it has detailed explanations of each and every topic making your engineering experience easy and fun.

Information theory & coding Unit One

Coding for Reliable Digital Transmission and storage & Source Codes:

Coding for Reliable Digital Transmission and storage
Mathematical model of Information, A Logarithmic Measure of Information, Average and Mutual Information and Entropy, Types of Errors, Error Control Strategies.
Source Codes: Shannon-fano coding, Huffman coding

Information theory & coding Unit Two

Linear Block Codes:

Introduction to Linear Block Codes, Syndrome and Error Detection, Minimum Distance of a Block code, Error-Detecting and Error-correcting Capabilities of a Block code, Standard array and Syndrome Decoding, Probability of an undetected error for Linear Codes over a BSC, Hamming Codes. Applications of Block codes for Error control in data storage system

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Information theory & coding Unit Three

Cyclic Codes:

Description, Generator and Parity-check Matrices, Encoding, Syndrome Computation and Error Detection, Decoding, Cyclic Hamming Codes, shortened cyclic codes, Error-trapping decoding for cyclic codes, Majority logic decoding for cyclic codes.

Information theory & coding Unit Four

Convolutional Codes:

Encoding of Convolutional Codes- Structural and Distance Properties, state, tree, trellis diagrams, maximum likelihood decoding, Sequential decoding, Majority- logic decoding of Convolution codes. Application of Viterbi Decoding and Sequential Decoding, Applications of Convolutional codes in ARQ system.

Information theory & coding Unit Five

BCH Codes:

Minimum distance and BCH bounds, Decoding procedure for BCH codes, Syndrome computation and iterative algorithms, Error locations polynomials for single and double error correction.

Information theory & coding Course Objectives

To acquire the knowledge in measurement of information and errors.
Understand the importance of various codes for communication systems
To design encoder and decoder of various codes.
To known the applicability of source and channel codes

Information theory & coding Course Outcomes

Upon completing this course, the student will be able to
Learn measurement of information and errors.
Obtain knowledge in designing various source codes and channel codes
Design encoders and decoders for block and cyclic codes
Understand the significance of codes in various applications

Information theory & coding Text Books

Error Control Coding- Fundamentals and Applications –Shu Lin, Daniel J.Costello,Jr, Prentice Hall, Inc 2014.
Error Correcting Coding Theory-Man Young Rhee, McGraw – Hill Publishing 1989

Information theory & coding Reference Books

Digital Communications- John G. Proakis, 5th ed., , TMH 2008.
Introduction to Error Control Codes-Salvatore Gravano-oxford
Error Correction Coding – Mathematical Methods and Algorithms – Todd K.Moon, 2006, Wiley India.
Information Theory, Coding and Cryptography – Ranjan Bose, 2nd Edition, 2009, TMH.

Scoring Marks in Information theory & coding

Scoring a really good grade in Information theory & coding is a difficult task indeed and CynoHub is here to help!. Please watch the video below and find out how to get 1st rank in your examinations . This video will also inform students on how to score high grades in Information theory & coding. There are a lot of reasons for getting a bad score in your Information theory & coding exam and this video will help you rectify your mistakes and help you improve your grades.

Information about JNTUH B.Tech R18 Information theory & coding was provided in detail in this article. To know more about the syllabus of other Engineering Subjects of JNTUH check out the official CynoHub application. Click below to download the CynoHub application.

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