Skip to main content
Graph
Search
fr
|
en
Login
Search
All
Categories
Concepts
Courses
Lectures
MOOCs
People
Practice
Publications
Startups
Units
Show all results for
Home
Lecture
Achievable Rate & Capacity
Graph Chatbot
Related lectures (32)
Previous
Page 1 of 4
Next
Lecture: Shannon
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.
OFDM Channel Estimation
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.
