This course covers the learning outcomes and goals of understanding fundamental concepts in information theory such as entropy, channel capacity, and code rate. Students will learn about tools like water filling for communications channels and Gaussian codebooks. The teaching method involves theoretical explanations and practical examples. The intended audience for this course includes students and professionals interested in information theory and its applications in communication systems.
Overview
Syllabus
What is Entropy? and its relation to Compression.
What are Channel Capacity and Code Rate?.
What is Water Filling for Communications Channels?.
What is a Gaussian Codebook?.
Taught by
Iain Explains Signals, Systems, and Digital Comms
