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Information Theory

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Information Theory

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Research Frontiers in Channel Coding and Error Correction

Investigates optimal coding schemes and error-correcting codes to transmit information reliably over noisy communication channels.

Polar Codes Beyond Shannon's Limit
Quantum Error Correction in Noisy Intermediate Regimes
Spatiotemporal Coupling in Multi-Dimensional Code Design
Machine Learning Decoders for Algebraic Codes
Semantic Information Preservation in Lossy Channels
Lattice Codes for Non-Euclidean Channel Geometries
Iterative Decoding Phase Transitions and Criticality
Fountain Codes for Uncertain and Dynamic Networks
Information-Theoretic Foundations of Biologically Inspired Codes
Mismatched Channel Decoding and Adaptive Rate Selection

All Information Theory PhD categories