Dive into the fundamental concepts of Information Theory in this comprehensive 90-minute lecture. Explore the concept of Entropy and its crucial relationship to data compression techniques. Gain insights into Channel Capacity and Code Rate, essential components in understanding information transmission. Discover the principles of Water Filling for Communications Channels and its applications. Delve into the intricacies of Gaussian Codebooks and their significance in information theory. Enhance your understanding of these key topics to build a strong foundation in the field of information theory and its practical applications in data compression and 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
Related Courses
-
Information Theory
-
Coding in Digital Communications
-
The Science of Information: From Language to Black Holes
-
Arikan Meets Shannon - Polar Codes With Near-Optimal Convergence to Channel Capacity
-
Information and Decision Theory Explain Neural Pulse Trains - Lecture
-
Fault-Tolerant Coding for Quantum Communication - Threshold Theorems and Error Rates
