Derivative of Mutual Information at Zero SNR: The Gaussian-Noise Case

Yihong Wu, Dongning Guo, Sergio Verdú · IEEE Transactions on Information Theory · 2011

Assuming additive Gaussian noise, a general sufficient condition on the input distribution is established to guarantee that the ratio of mutual information to signal-to-noise ratio (SNR) goes to one half nat as SNR vanishes. The result allows SNR-dependent input distribution and side information.

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