Robust hypothesis testing with a relative entropy tolerance
IEEE Transactions on Information Theory
Quantization-based methods: additive attacks performance analysis
Transactions on data hiding and multimedia security III
Optimal stochastic signaling for power-constrained binary communications systems
IEEE Transactions on Wireless Communications
Practical data-hiding: additive attacks performance analysis
IWDW'05 Proceedings of the 4th international conference on Digital Watermarking
| Hi-index | 754.90 |
Additive-noise channels with binary inputs and zero-threshold detection are considered. We study worst case noise under the criterion of maximum error probability with constraints on both power and divergence with respect to a given symmetric nominal noise distribution. Particular attention is focused on the cases of a) Gaussian nominal distributions and b) asymptotic increase in worst case error probability when the divergence tolerance tends to zero