Lectures related to Multi-user Gaussian Channels with Noisy Feedback

Conditional Entropy and Information Theory Concepts

Discusses conditional entropy and its role in information theory and data compression.

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

Information Theory: Source Coding & Channel Coding

Covers the fundamentals of information theory, focusing on source coding and channel coding.

Entropy and Data Compression: Huffman Coding Techniques

Discusses entropy, data compression, and Huffman coding techniques, emphasizing their applications in optimizing codeword lengths and understanding conditional entropy.

Error Correction Codes: Basics

Introduces erasure and error channels, Hamming distance, and error correction codes.

Communication Channels: Encoding and Decoding

Explores encoding and decoding techniques in communication systems, focusing on fundamental limits and mutual information computations.

Channel Coding and BICM (LLRs)

Explores channel coding, BICM, and LLRs in wireless communication systems, emphasizing the importance of error detection and correction.