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 20 - Parallel Gaussian Channel|
In this lecture we first describe parallel Gaussian channel. Then we compute the channel capacity of parallel Gaussian channel with common power constraint. We address the problem of optimum power allocation among the channels to maximize channel capacity. Finally, we consider Gaussian channels with coloured noise, and address the problem of optimum power allocation among the parallel channels with coloured noise.
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