Continuity of mutual entropy in the large signal-to-noise ratio limit Export

@article{citeulike:6087196, abstract = {This article addresses the issue of the proof of the entropy power inequality (EPI), an important tool in the analysis of Gaussian channels of information transmission, proposed by Shannon. We analyse continuity properties of the mutual entropy of the input and output signals in an additive memoryless channel and show how this can be used for a correct proof of the entropy-power inequality under various types of assumptions.}, archivePrefix = {arXiv}, author = {Kelbert, Mark and Suhov, Yuri}, citeulike-article-id = {6087196}, citeulike-linkout-0 = {http://arxiv.org/abs/0911.1275}, citeulike-linkout-1 = {http://arxiv.org/pdf/0911.1275}, day = {6}, eprint = {0911.1275}, keywords = {entropy}, month = {Nov}, posted-at = {2009-11-09 07:08:35}, priority = {2}, title = {Continuity of mutual entropy in the large signal-to-noise ratio limit}, url = {http://arxiv.org/abs/0911.1275}, year = {2009} }

TY - JOUR ID - citeulike:6087196 L3 - citeulike-article-id:6087196 N2 - This article addresses the issue of the proof of the entropy power inequality (EPI), an important tool in the analysis of Gaussian channels of information transmission, proposed by Shannon. We analyse continuity properties of the mutual entropy of the input and output signals in an additive memoryless channel and show how this can be used for a correct proof of the entropy-power inequality under various types of assumptions. TI - Continuity of mutual entropy in the large signal-to-noise ratio limit KW - entropy AU - Kelbert, Mark AU - Suhov, Yuri PY - 2009/Nov/06/ UR - http://arxiv.org/abs/0911.1275 ER -