MIMO

Related lectures (32)

Page 2 of 4

Covers the formation theory and coding, focusing on channel capacity and concave functions.

Covers concepts of entropy, Gaussian distributions, and channel capacity with constraints.

Covers source coding, encoder design, and error probability analysis in information theory and coding.

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

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

Covers error correction codes theory and applications, emphasizing the importance of minimizing distance for reliable communication.

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

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

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