Related lectures (65)
Information Theory: Source Coding & Channel Coding
Covers the fundamentals of information theory, focusing on source coding and channel coding.
Coding Theorem: Proof and Properties
Covers the proof and properties of the coding theorem, focusing on maximizing the properties of lx and the achievable rate.
Channel Coding: Theory & Coding
Covers the formation theory and coding, focusing on channel capacity and concave functions.
Data Compression and Shannon's Theorem: Performance Analysis
Explores Shannon's theorem on data compression and the performance of Shannon Fano codes.
Binary Coding: Channel Decoding
Explores binary channel decoding and vector spaces in coding theory.
Soft-Output MIMO Detection for BICM
Covers Soft-Output MIMO Detection for BICM, LLRs computation, BICM system model, and challenges of channel assumptions.
Information Measures: Entropy and Information Theory
Explains how entropy measures uncertainty in a system based on possible outcomes.
Secret Key Generation: Polar Coding
Explores secret key generation using polar coding for short blocklengths, discussing key capacity, rate-leakage pairs, and practical implementation.
Quantum Source Coding
Covers entropic notions in quantum sources, Shannon entropy, Von Neumann entropy, and source coding.
Anonymity Online: Techniques and Weaknesses
Explores online anonymity techniques and weaknesses, including bypassing geo-blocking and avoiding tracking.

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