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A maximum entropy theorem for complex-valued random vectors, with implications on capacity.
Georg Tauböck
Published in:
ITW (2011)
Keyphrases
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maximum entropy
complex valued
random vectors
marginal distributions
joint distribution
real valued
random variables
random fields
maximum entropy principle
recurrent neural networks
activation function
linear equations
multi valued
conditional random fields
neural network
multiresolution
reinforcement learning