Mismatched estimation and relative entropy
ISIT'09 Proceedings of the 2009 IEEE international conference on Symposium on Information Theory - Volume 2
Mismatched estimation and relative entropy
IEEE Transactions on Information Theory
Channel capacity bounds in the presence of quantized channel state information
EURASIP Journal on Wireless Communications and Networking
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In some channels subject to crosstalk or other types of additive interference, the noise is the sum of a dominant Gaussian noise and a relatively weak non Gaussian contaminating noise. Although the capacity of such channels cannot be evaluated in general, the authors analyze the decrease in capacity, or sensitivity of the channel capacity to the weak contaminating noise. The main result is that for a very large class of contaminating noise processes, explicit expressions for the sensitivity of a discrete-time channel capacity do exist. Moreover, in those cases the sensitivity depends on the contaminating process distribution only through its autocorrelation function and so it coincides with the sensitivity with respect to a Gaussian contaminating noise with the same autocorrelation function