Lectures related to Achievable Rate & Capacity

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

Variational Formulation: Information Measures

Explores variational formulation for measuring information content and divergence between probability distributions.

Explores OFDM channel estimation for wireless receivers, emphasizing the importance of accurate estimation in wireless communication systems.

Information Measures: Entropy and Information Theory

Explains how entropy measures uncertainty in a system based on possible outcomes.

Information Measures

Covers information measures like entropy, Kullback-Leibler divergence, and data processing inequality, along with probability kernels and mutual information.

Quantifying Information: Probability, Entropy, and Constraints

Explores quantifying information based on probability, entropy, and constraints in communication systems.

MIMO Capacity

Explores MIMO capacity, spatial multiplexing, matched filter, and power normalization in wireless communication systems.

Mutual Information and Entropy

Explores mutual information and entropy calculation between random variables.

Wireless Channel: Modulation and Noise

Explores wireless modulation, noise effects, multipath propagation, and channel characteristics in wireless communication.

Information Theory: Review and Mutual Information

Reviews information measures like entropy and introduces mutual information as a measure of information between random variables.

MIMO RAKE Receiver: Simulation and MIMO Extension

Covers the implementation of IS-95 forward-link and MIMO extension.

Environmental Legislation and Construction Law

Explores environmental legislation, pollution control, noise regulations, and construction impact on the environment.

Information Theory: Basics and Applications

Covers the basics of information theory and its applications in various fields.

Environmental Legislation and Noise Protection

Explores environmental legislation, noise protection, and exposure limits for road traffic and aircraft noise.

Fading Channels: Model & Performance

Covers fading channels in wireless communication, discussing models, performance, diversity, and attenuation effects.

Mutual Information: Understanding Random Variables

Explores mutual information, quantifying relationships between random variables and measuring information gain and statistical dependence.

Generalization Error

Discusses mutual information, data processing inequality, and properties related to leakage in discrete systems.

Channel Coding and BICM (LLRs)

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

Information Measures: Estimation & Detection

Covers information measures, entropy, mutual information, and data processing inequality in signal representation.

Information Theory: Source Coding, Cryptography, Channel Coding

Covers source coding, cryptography, and channel coding in communication systems, exploring entropy, codes, error channels, and future related courses.