An Introduction to Information Theory (Prof. Adrish Banerjee, IIT Kanpur): Lecture 22

An Introduction to Information Theory

An Introduction to Information Theory. Instructor: Prof. Adrish Banerjee, Department of Electrical Engineering, IIT Kanpur. Information Theory answers two fundamental questions: what is the maximum data rate at which we can transmit over a communication link, and what is the fundamental limit of data compression. In this course we will explore answers to these two questions. We will study some practical source compression algorithms. We will also study how to compute channel capacity of simple channels. (from nptel.ac.in)

Lecture 22 - Rate Distortion Theory

After a brief introduction to the problems rate distortion theory deals with, we calculate the rate distortion function for some simple sources. Next we discuss characterization of the rate distortion function. Finally, we talk about how to do simultaneous description of independent Gaussian random variables.

Go to the Course Home or watch other lectures:

Lecture 01 - Introduction

Lecture 02 - Measure Information

Lecture 03 - Information Inequalities

Lecture 04 - Problem Solving Session I

Lecture 05 - Block to Variable Length Coding: Prefix Free Code

Lecture 06 - Block to Variable Length Coding: Bounds on Optimal Code Length

Lecture 07 - Block to Variable Length Coding: Huffman Coding

Lecture 08 - Variable to Block Length Coding

Lecture 09 - The Asymptotic Equipartition Property

Lecture 10 - Block to Block Coding of DMS (Discrete Memoryless Source)

Lecture 11 - Problem Solving Session II