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Created by:
Last updated:
September 25, 2023
Duration:
Unlimited Duration
FREE
This course includes:
Unlimited Duration
Badge on Completion
Certificate of completion
Unlimited Duration
Description
Information Theory and Coding. Instructor: Prof. S. N. Merchant, Department of Electrical Engineering, IIT Bombay.
This course covers lessons on information theory and coding, entropy, block code and its properties, Shannon's theorem, huffman coding, Shannon-Fano-Elias coding, arithmetic coding, information channels, rate-distortion theory, Lloyd-Max Quantizer, vector quantization, and transform coding. (from nptel.ac.in)
Course Curriculum
- Lecture 01 – Introduction to Information Theory and Coding Unlimited
- Lecture 02 – Definition of Information Measure and Entropy Unlimited
- Lecture 03 – Extension of an Information Source and Markov Source Unlimited
- Lecture 04 – Adjoint of an Information Source, Joint and Conditional Information Measure Unlimited
- Lecture 05 – Properties of Joint and Conditional Information Measures and a Markov Source Unlimited
- Lecture 06 – Asymptotic Properties of Entropy and Problem Solving in Entropy Unlimited
- Lecture 07 – Block Code and its Properties Unlimited
- Lecture 08 – Instantaneous Code and its Properties Unlimited
- Lecture 09 – Kraft-Mcmillan Equality and Compact Codes Unlimited
- Lecture 10 – Shannon’s First Theorem Unlimited
- Lecture 11 – Coding Strategies and Introduction to Huffman Coding Unlimited
- Lecture 12 – Huffman Coding and Proof of its Optimality Unlimited
- Lecture 13 – Competitive Optimality of the Shannon Code Unlimited
- Lecture 14 – Non-Binary Huffman Code and Other Codes Unlimited
- Lecture 15 – Adaptive Huffman Coding, Part I Unlimited
- Lecture 16 – Adaptive Huffman Coding, Part II Unlimited
- Lecture 17 – Shannon-Fano-Elias Coding and Introduction to Arithmetic Coding Unlimited
- Lecture 18 – Arithmetic Coding, Part I Unlimited
- Lecture 19 – Arithmetic Coding, Part II Unlimited
- Lecture 20 – Introduction to Information Channels Unlimited
- Lecture 21 – Equivocation and Mutual Information Unlimited
- Lecture 22 – Properties of Different Information Channels Unlimited
- Lecture 23 – Reduction of Information Channels Unlimited
- Lecture 24 – Properties of Mutual Information and Introduction to Channel Capacity Unlimited
- Lecture 25 – Calculation of Channel Capacity for Different Information Channels Unlimited
- Lecture 26 – Shannon’s Second Theorem Unlimited
- Lecture 27 – Discussion on Error Free Communication over Noisy Channel Unlimited
- Lecture 28 – Error Free Communication over a Binary Symmetric Channel Unlimited
- Lecture 29 – Differential Entropy and Evaluation of Mutual Information for Continuous … Unlimited
- Lecture 30 – Channel Capacity of a Bandlimited Continuous Channel Unlimited
- Lecture 31 – Introduction to Rate-Distortion Theory Unlimited
- Lecture 32 – Definition and Properties of Rate-Distortion Functions Unlimited
- Lecture 33 – Calculation of Rate-Distortion Functions Unlimited
- Lecture 34 – Computational Approach for Calculation of Rate-Distortion Functions Unlimited
- Lecture 35 – Introduction to Quantization Unlimited
- Lecture 36 – Lloyd-Max Quantizer Unlimited
- Lecture 37 – Companded Quantization Unlimited
- Lecture 38 – Variable Length Coding and Problem Solving in Quantizer Design Unlimited
- Lecture 39 – Vector Quantization Unlimited
- Lecture 40 – Transform Coding, Part I Unlimited
- Lecture 41 – Transform Coding, Part II Unlimited
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