Mobile Networks: MAC Protocols

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Introduces signal acquisition, GMWM for sensor calibration, and the importance of accurate parameter matching.

Introduces statistics basics, including data analysis and probability theory, emphasizing central tendency, dispersion, and distribution shapes.

Covers the basics of information theory, focusing on Shannon's setting and channel transmission.

Covers the basics of probability theory, random variables, joint probability, and inference.

Explores channel coding, BICM, and LLRs in wireless communication systems, emphasizing the importance of error detection and correction.

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Discusses conditional entropy and its role in data compression techniques.