by Shiva Prasad Kotagiri In many communication scenarios, the communicating parties typically have some knowledge or attempt to learn about the time-varying environment or the channel over which communication takes place. To understand these models, it is important to study the fundamental performance limits of state-dependent channels whose probabilistic input-output relationship depends on a ...

The standard decision theories of Savage and of Anscombe and Aumann both postulate that the domain of consequences is state independent. But this hypothesis makes no sense when, for instance, there is a risk of death or serious injury. The paper considers one possible way of deriving subjective probabilities and utilities in this case also. Moreover, the utilities will be state independent in t...

In this paper, we consider the problem of pure information transmission and channel state estimation via state dependent channels. We show that the knowledge of auxiliary random variable, used in the codebook construction of random binning techniques, is sufficient to perform the optimal channel state estimation. We compare the obtained results with optimal rate-distortion region obtained using...

This paper generalizes the Debreu/Gorman characterization of additively decomposable functionals and separable preferences to infinite dimensions. The first novelty concerns the very definition of additively decomposable functional for infinite dimensions. For decision under uncertainty, our result provides a state-dependent extension of Savage's expected utility. A characterization in terms of...

An analytical equation of state is applied to calculate the thermodynamic properties for argon. Theequation of state is that of Song and Mason. It is based on a statistical-mechanical perturbation theory ofhard convex bodies and can be written as fifth-order polynomial in the density. There exist three temperaturedependentparameters: the second virial coefficient, an effective molecular volume,...

Context-dependent modeling is a widely used technique for better phone modeling in continuous speech recognition. While different types of context-dependent models have been used, triphones have been known as the most effective ones. In this paper, a Maximum a Posteriori (MAP) estimation approach has been used to estimate the parameters of the untied triphone model set used in data-driven clust...