Covers the basics of information theory, focusing on Shannon's setting and channel transmission.
Covers entropy, source coding, encoding maps, decodability, prefix-free codes, and Kraft-McMillan's inequality.
Explores channel coding, BICM, and LLRs in wireless communication systems, emphasizing the importance of error detection and correction.
Explores the Source Coding Theorem, entropy, Huffman coding, and conditioning's impact on entropy reduction.
Explores finite dimensional spaces, covering extraction process, bases generation, and space completion.
