Elements of information theory
Elements of information theory
Quantum computation and quantum information
Quantum computation and quantum information
A foundation for computation
A Bayesian Model for Event-based Trust
Electronic Notes in Theoretical Computer Science (ENTCS)
Anonymity protocols as noisy channels
Information and Computation
Topology in information theory in topology
Theoretical Computer Science
Quantified Interference for a While Language
Electronic Notes in Theoretical Computer Science (ENTCS)
Algebraic Information Theory For Binary Channels
Electronic Notes in Theoretical Computer Science (ENTCS)
Noisy timing channels with binary inputs and outputs
IH'06 Proceedings of the 8th international conference on Information hiding
Steganographic communication with quantum information
IH'07 Proceedings of the 9th international conference on Information hiding
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We establish a monotonicity principle for convex functions that enables high-level reasoning about capacity in information theory. Despite its simplicity, this single idea is remarkably applicable. It leads to a significant extension of algebraic information theory, a solution of the capacity reduction problem, intuitive graphical methods for comparing channels, new inequalities that provide useful estimates on the information transmitting capability of a channel operating in an unknown environment, further explication of the fascinating relationship between capacity and Euclidean distance, and the solution of an open problem in quantum steganography.