Channel Coding: Theory & Coding

Related lectures (30)

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Covers the Lempel-Ziv universal coding algorithm and invertible finite state machines in information theory.

Explores achievable rate, channel capacity, spectral efficiency, and fading channels in wireless communication systems.

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

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

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

Covers source coding, Kraft's inequality, mutual information, Huffman procedure, and properties of tropical sequences.

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

Explores random coding achievability and proof variants in information theory, emphasizing achievable rates and architectural principles.

Covers source coding, typical sequences, stationarity, and efficient encoding in information theory.

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