Achievable Rate & Capacity

Related lectures (32)

Page 3 of 4

Explores environmental impact studies on noise pollution assessment and mitigation measures in various settings.

Explores environmental noise, its characteristics, impact on health, measurement methods, and legal regulations.

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

On entropy and mutual information explores quantifying information in data science through probability distributions.

Explores mutual information in biological data, emphasizing its role in quantifying statistical dependence and analyzing protein sequences.

Covers quantifying information in messages, source entropy, common information, and communication channel capacity.

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

Explores the impact of multipath effects, modulation techniques, and channel characteristics on wireless communication.

Explores diversity and receivers in wireless communication systems, covering fading, BER, and signal quality improvement techniques.

Explores random walks, Moran model, bacterial chemotaxis, entropy, information theory, and coevolving sites in proteins.