Error Control Coding: An Introduction to Convolutional Codes (Prof. Adrish Banerjee, IIT Kanpur): Lecture 17

Error Control Coding: An Introduction to Convolutional Codes

Error Control Coding: An Introduction to Convolutional Codes. Instructor: Prof. Adrish Banerjee, Department of Electrical Engineering, IIT Kanpur. Error control coding is an indispensable part of any digital communication system. In this introductory course, we will discuss theory of convolutional codes, their encoding and decoding techniques as well as their applications in real world scenarios. We will also study how from simple codes by concatenation we can build more powerful error correcting codes. In particular, we will study in details, one such capacity approaching codes called turbo codes. (from nptel.ac.in)

Lecture 17 - Problem Solving Session III

In this lecture we solve some problems related to minimum SNR required for reliable communications in AWGN channels, generator matrix of convolutional code, dual of a convolutional code, and upper bounds on free distance of a convolutional code.

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Lecture 01 - Introduction to Error Control Coding I

Lecture 02 - Introduction to Error Control Coding II

Lecture 03 - Introduction to Error Control Coding III

Lecture 04 - Introduction to Convolutional Codes: Encoding

Lecture 05 - Introduction to Convolutional Codes: State Diagram, Trellis Diagram

Lecture 06 - Convolutional Codes: Classification, Realization

Lecture 07 - Convolutional Codes: Distance Properties

Lecture 08 - Decoding of Convolutional Codes: Viterbi Algorithm

Lecture 09 - Decoding of Convolutional Codes: BCJR Algorithm

Lecture 10 - Problem Solving Session I

Lecture 11 - Problem Solving Session II

Lecture 12 - Performance Bound for Convolutional Codes

Lecture 13 - Turbo Codes

Lecture 14 - Turbo Decoding

Lecture 15 - Convergence of Turbo Codes

Lecture 16 - Application of Convolutional Codes

Lecture 17 - Problem Solving Session III