video lectures on information theory and coding


Lecture 8: Noisy Channel Coding (III): The Noisy-Channel Coding Theorem as author at Course on Information Theory, Pattern Recognition, and Neural Networks, 14112 views [syn] 13629 views, 46:53 Information Theory and Coding by Prof. S.N.Merchant, Department of Electrical Engineering, IIT Bombay. FreeVideoLectures aim to help millions of students across the world acquire knowledge, gain good grades, get jobs. For more details on NPTEL visit httpnptel.iitm.ac.in Mod-01 Lec-01 Introduction to Information Theory and Coding Mod01 Lec-02 Definition of Information Measure and Entropy For more details on NPTEL visit httpnptel.iitm.ac.in. For more details on NPTEL visit httpnptel.iitm.ac.in This is one of over 2,200 courses on OCW.

The material will be explored in more depth and rigor via videos of additional lectures (by the course instructors) made available to those interested. Lecture Details. L1- Introduction to Information Theory and Coding: PDF unavailable: 2: L2-Definition of …
FreeVideoLectures aim to help millions of students across the world acquire knowledge, gain good grades, get jobs.

Introduction to Information Theory and Coding - Definition of Information Measure and Entropy - Extension of An Information Source and Markov Source - Adjoint of An Information Source, Joint and Conditional Information Measures - Properties of Joint and Conditional Information Measures and a Markov Source - Asymptotic Properties of Entropy and Problem Solving in Entropy - Block Code and Its Properties - Instantaneous Code and Its Properties - Kraft-Mcmillan Equality and Compact Codes - Shannon's First Theorem - Coding Strategies and Introduction to Huffman Coding - Huffman Coding and Proof of Its Optimality - Competitive Optimality of The Shannon Code - Non-Binary Huffman Code and Other Codes - Adaptive Huffman Coding - Shannon-Fano-Elias Coding and Introduction to Arithmetic Coding Information Theory and Coding by Prof. S.N.Merchant, Department of Electrical Engineering, IIT Bombay. On-demand Videos; Login & Track your progress; Full Lifetime acesses; Lecture 1: Introduction to Information Theory and Coding. Welcome! Excellent course helped me understand topic that i couldn't while attendinfg my college.

Introduction to Information Theory and Coding - Definition of Information Measure and Entropy - Extension of An Information Source and Markov Source - Adjoint of An Information Source, Joint and Conditional Information Measures - Properties of Joint and Conditional Information Measures and a Markov Source - Asymptotic Properties of Entropy and Problem Solving in Entropy - Block Code and Its Properties - Instantaneous Code and Its Properties - Kraft-Mcmillan Equality and Compact Codes - Shannon's First Theorem - Coding Strategies and Introduction to Huffman Coding - Huffman Coding and Proof of Its Optimality - Competitive Optimality of The Shannon Code - Non-Binary Huffman Code and Other Codes - Adaptive Huffman Coding - Shannon-Fano-Elias Coding and Introduction to Arithmetic Coding Information Theory and Coding by Prof. S.N.Merchant, Department of Electrical Engineering, IIT Bombay. Find …


Excellent course helped me understand topic that i couldn't while attendinfg my college. 4.1 ( 11 ) Lecture Details.

Information Theory and Coding by Prof. S.N.Merchant, Department of Electrical Engineering, IIT Bombay. Don't show me this again. A series of sixteen lectures covering the core of the book "Information Theory, Inference, and Learning Algorithms (Cambridge University Press, 2003)" which can be bought at Amazon, and is available free online. A subset of these lectures used to constitute a Part III Physics course at the University of Cambridge.

For more details on NPTEL visit httpnptel.iitm.ac.in Lectures will focus on intuition, applications and ways in which communication and representation of information manifest in various areas. Information Theory and Coding by Prof. S.N.Merchant, Department of Electrical Engineering, IIT Bombay.

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