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Lecture
Communication Channels: Encoding and Decoding
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Related lectures (30)
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Information Theory and Coding
Covers source coding, Kraft's inequality, mutual information, Huffman procedure, and properties of tropical sequences.
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Achievable Rate & Capacity
Explores achievable rate, channel capacity, spectral efficiency, and fading channels in wireless communication systems.
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Explores channel capacity and convex functions in information theory, emphasizing the importance of convexity.
Mutual Information and Entropy
Explores mutual information and entropy calculation between random variables.
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Covers the basics of information theory, focusing on Shannon's setting and channel transmission.
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Covers the basics of information theory and its applications in various fields.
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Explores variational formulation for measuring information content and divergence between probability distributions.
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Covers the formation theory and coding, focusing on channel capacity and concave functions.
Information Measures
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