Lectures related to Channel capacity

Explores the capacity of communication channels with Gaussian noise and noise impact.

Covers the proof and properties of the coding theorem, focusing on maximizing the properties of lx and the achievable rate.

Explores MIMO capacity, spatial multiplexing, matched filter, and power normalization in wireless communication systems.

Explores wireless modulation, noise effects, multipath propagation, and channel characteristics in wireless communication.

Covers the design of a practical system to send data over a telephone channel.

Explores quantifying information based on probability, entropy, and constraints in communication systems.

Explores binary channel decoding and vector spaces in coding theory.

Introduces information theory basics, including entropy, independence, and binary entropy function.

Explains Minimum Distance (MD) decoding on erasure channels with illustrative examples.