Linear block codes, parity relations 
Linear block codes, parity relations
by MIT
Video Lecture 4 of 24
Copyright Information: Hari Balakrishnan, and George Verghese. 6.02 Introduction to EECS II: Digital Communication Systems, Fall 2012. (Massachusetts Institute of Technology: MIT OpenCourseWare), http://ocw.mit.edu (Accessed 2 Mar, 2015). License: Creative Commons BY-NC-SA
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Date Added: March 2, 2015

Lecture Description

This lecture continues to cover linear block codes. The generator matrix and matrix notation are introduced, along with examples of error correction through rectangular code and Hamming code.

Course Index

Course Description

An introduction to several fundamental ideas in electrical engineering and computer science, using digital communication systems as the vehicle. The three parts of the course—bits, signals, and packets—cover three corresponding layers of abstraction that form the basis of communication systems like the Internet.

The course, taught by Prof. George Verghese, teaches ideas that are useful in other parts of EECS: abstraction, probabilistic analysis, superposition, time and frequency-domain representations, system design principles and trade-offs, and centralized and distributed algorithms. The course emphasizes connections between theoretical concepts and practice using programming tasks and some experiments with real-world communication channels.

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