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Lecture
Channel Coding: Theory & Coding
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Related lectures (30)
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Information Theory: Channel Capacity and Convex Functions
Explores channel capacity and convex functions in information theory, emphasizing the importance of convexity.
Lecture: Shannon
Covers the basics of information theory, focusing on Shannon's setting and channel transmission.
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Covers concepts of entropy, Gaussian distributions, and channel capacity with constraints.
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Covers source coding, cryptography, and channel coding in communication systems, exploring entropy, codes, error channels, and future related courses.
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Channel Coding: Convolutional Codes
Explores channel coding with a focus on convolutional codes, emphasizing error detection, correction, and decoding processes.
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Explains prefix-free codes for efficient data compression and the significance of uniquely decodable codes.
