6.02 Introduction to EECS II: Digital Communication Systems
6.02 Introduction to EECS II: Digital Communication Systems (Fall 2012, MIT OCW). Instructors: Prof. Hari Balakrishnan and Prof. George Verghese. 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 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.
(from ocw.mit.edu)
| Lecture 08 - Noise |
This lecture introduces a noise model based on a Gaussian random variable. Background on calculating mean and variance of probability density function is given alongside steps to estimate noise parameters and calculate bit energy.
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