Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Generalized Bregman Divergence and Gradient of Mutual Information for
  Vector Poisson Channels   We investigate connections between information-theoretic and
estimation-theoretic quantities in vector Poisson channel models. In
particular, we generalize the gradient of mutual information with respect to
key system parameters from the scalar to the vector Poisson channel model. We
also propose, as another contribution, a generalization of the classical
Bregman divergence that offers a means to encapsulate under a unifying
framework the gradient of mutual information results for scalar and vector
Poisson and Gaussian channel models. The so-called generalized Bregman
divergence is also shown to exhibit various properties akin to the properties
of the classical version. The vector Poisson channel model is drawing
considerable attention in view of its application in various domains: as an
example, the availability of the gradient of mutual information can be used in
conjunction with gradient descent methods to effect compressive-sensing
projection designs in emerging X-ray and document classification applications.

31
The categories of this paper are: ao-sci
18
The categories of this paper are: econ
10
The categories of this paper are: q-bio
3
The categories of this paper are: physics
7
The categories of this paper are: hep-th
6
The categories of this paper are: astro-ph
36
The categories of this paper are: cmp-lg
23
The categories of this paper are: solv-int
19
The categories of this paper are: eess
25
The categories of this paper are: patt-sol
5
The categories of this paper are: gr-qc
35
The categories of this paper are: mtrl-th
4
The categories of this paper are: cond-mat
29
The categories of this paper are: funct-an
28
The categories of this paper are: alg-geom
32
The categories of this paper are: atom-ph