Secret Key Generation: Polar Coding

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Covers source coding, cryptography, and channel coding for communication systems.

Delves into challenges and opportunities of multi-user Gaussian channels with noisy feedback, presenting a new mathematical framework.

Explores channel capacity and convex functions in information theory, emphasizing the importance of convexity.

Explores binary channel decoding and vector spaces in coding theory.

Explains Minimum Distance (MD) decoding on erasure channels with illustrative examples.

Explains prefix-free codes for efficient data compression and the significance of uniquely decodable codes.

Discusses conditional entropy and its role in information theory and data compression.

Explains secret key agreement systems, perfect secrecy, and the criteria for secure communication.

Covers the fundamentals of wireless communication systems, advanced algorithms, coding, and multi-antenna systems.

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