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Covers information measures like entropy, Kullback-Leibler divergence, and data processing inequality, along with probability kernels and mutual information.
Delves into analyzing residue coevolution in protein families to capture native contacts and predict spatial proximity and protein interactions.
Discusses mutual information, data processing inequality, and properties related to leakage in discrete systems.
Explores achievable rate, channel capacity, spectral efficiency, and fading channels in wireless communication systems.
Covers source coding, Kraft's inequality, mutual information, Huffman procedure, and properties of tropical sequences.
Delves into predicting protein structure through amino acid contact analysis and advanced computational methods.
Explores mutual information for quantifying statistical dependence between variables and inferring probability distributions from data.
Covers variational representation and information measures such as entropy and mutual information.
Covers information measures like entropy, joint entropy, and mutual information in information theory and data processing.
