'L26-Shannon's Second Theorem' Video Lecture

L26-Shannon's Second Theorem

  • Course: Information Theory and Coding
  • Discipline: Electronics and Communication Engineering
  • Faculty: Prof. S.N. Merchant
  • Institute: IIT Bombay

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    Course Video Lectures L1- Introduction to Information Theory and Co.. L2-Definition of Information Measure and Entr.. L3-Extention of An Information Source and Mar.. L4-Adjoint of An Information Source, Joint an.. L5-Properties of Joint and Conditional Inform.. L6-Asymptotic Properties of Entropy and Probl.. L7-Block Code and its Properties L8-Instantaneous Code and Its Properties L9-Kraft-Mcmillan Equality and Compact Codes L10-Shannon's First Theorem L11-Coding Strategies and Introduction to Huf.. L12-Huffman Coding and Proof of Its Optamalit.. L13-Competitive Optamality of The Shannon Cod.. L14-Non-Binary Huffman Code and Other Codes L15-Adaptive Huffman Coding Part-I L16-Adaptive Huffman Coding Part-II L17-Shannon-Fano-Elias Coding and Introductio.. L18-Arithmetic Coding Part-I L19-Arithmetic Coding Part-II L20-Introdution to Information Channels L21-Equivocation and Mutual Information L22-Properties of Different Information Chann.. L23-Reduction of Information Channels L24-Properties of Mutual Information and Intr.. L25-Calculation of Channel Capacity for Diffe.. L26-Shannon's Second Theorem L27-Discussion On Error Free Communication Ov.. L28-Error Free Communication Over A Binary Sy.. L29-Differential Entropy and Evaluation of Mu.. L30-Channel Capacity of A BandLimited Continu.. L31-Introduction to Rate-Distortion Theory L32-Definition and Properties of Rate-Distort.. L33-Calculation of Rate-Distortion Functions L34-Computational Approach for Calculation of.. L35-Introdution to Quantization L36-Lloyd-Max Quantizer L37-Companded Quantization L38-Variable Length Coding and Problem Solvin.. L39-Vector Quantization L40-Transform Coding Part-I L41-Transform Coding Part-II
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