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Related lectures (53)
Lecture: Shannon
Covers the basics of information theory, focusing on Shannon's setting and channel transmission.
Information Measures
Covers information measures like entropy, Kullback-Leibler divergence, and data processing inequality, along with probability kernels and mutual information.
Wireless Channel: Modulation and Noise
Explores wireless modulation, noise effects, multipath propagation, and channel characteristics in wireless communication.
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.
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.
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.
Information Theory and Coding
Covers source coding, Kraft's inequality, mutual information, Huffman procedure, and properties of tropical sequences.
Entropy and Mutual Information
On entropy and mutual information explores quantifying information in data science through probability distributions.
Mutual Information in Biological Data
Explores mutual information in biological data, emphasizing its role in quantifying statistical dependence and analyzing protein sequences.
Information Theory Basics
Introduces information theory basics, including entropy, independence, and binary entropy function.
Wireless Channel: Multipath Effects & Modulation
Explores the impact of multipath effects, modulation techniques, and channel characteristics on wireless communication.
Quantifying Information: Probability, Entropy, and Constraints
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Explores quantifying information based on probability, entropy, and constraints in communication systems.
MIMO Capacity
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Explores MIMO capacity, spatial multiplexing, matched filter, and power normalization in wireless communication systems.
MIMO RAKE Receiver: Simulation and MIMO Extension
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Covers the implementation of IS-95 forward-link and MIMO extension.
Fading Channels: Model & Performance
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Covers fading channels in wireless communication, discussing models, performance, diversity, and attenuation effects.
Channel Coding and BICM (LLRs)
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Explores channel coding, BICM, and LLRs in wireless communication systems, emphasizing the importance of error detection and correction.
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