Mutual information of the white Gaussian channel with and without feedback

  title={Mutual information of the white Gaussian channel with and without feedback},
  author={T. T. Kadota and Moshe Zakai and Jacob Ziv},
  journal={IEEE Trans. Information Theory},
The following model for the white Gaussian channel with or without feedback is considered: Y(t) = s t d(~,Y,,~,d ds + w(r) 0 where m denotes the message, Y(t) denotes the channel output at t ime t, Y,,’ denotes the sample path Y(8), 0 5 0 5 t. W(t) is the Brownian motion representing noise, and d(s,r,“,m) is the channel input (modulator output). It is shown that, under some general assumptions, the amount of mutual information Z(Y,‘,m) between the message m and the output path Y,, T is directly… CONTINUE READING
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Publications referenced by this paper.
Showing 1-6 of 6 references

Conditions for the absolute continuity between a certain pair of probability measures

M. Zakai

Absolute continuity and RadonNikodym derivatives for certain measures relative to Wiener measure

M. Zakai

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L. A. Shepp
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Calculation of the amount of information about a random function contained in another such function

A. M. Yaglom

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