Motivated by the Gaussian channel models (see, for instance [Guo, Shamai and Verdú, IEEE Transactions on Information Theory 51: 1261–1282, 2005]), we calculate the mutual information for processes described by multidimensional stochastic differential equations driven by a multidimensional fractional Brownian motion.
Contents
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Requires Authentication UnlicensedMutual information for stochastic differential equations driven by fractional Brownian motionLicensedMarch 17, 2010
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Requires Authentication UnlicensedWhite noise quantum time shiftsLicensedMarch 17, 2010
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Requires Authentication UnlicensedDuality and semi-group property for backward parabolic Itô equationsLicensedMarch 17, 2010
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Requires Authentication UnlicensedA solvable model for homopolymers and self-similarity near the critical pointLicensedMarch 17, 2010