Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Optimal input signal distribution and per-sample mutual information for
  nondispersive nonlinear optical fiber channel at large SNR   We consider a model nondispersive nonlinear optical fiber channel with
additive white Gaussian noise at large $\mathrm{SNR}$ (signal-to-noise ratio)
in the intermediate power region. Using Feynman path-integral technique we for
the first time find the optimal input signal distribution maximizing the
channel's per-sample mutual information. The finding of the optimal input
signal distribution allows us to improve previously known estimates for the
channel capacity. The output signal entropy, conditional entropy, and
per-sample mutual information are calculated for Gaussian, half-Gaussian and
modified Gaussian input signal distributions. We explicitly show that in the
intermediate power regime the per-sample mutual information for the optimal
input signal distribution is greater than the per-sample mutual information for
the Gaussian and half-Gaussian input signal distributions.

8
The categories of this paper are: hep-ex
33
The categories of this paper are: plasm-ph
35
The categories of this paper are: mtrl-th
15
The categories of this paper are: nucl-ex
17
The categories of this paper are: q-fin
27
The categories of this paper are: comp-gas
36
The categories of this paper are: cmp-lg
20
The categories of this paper are: acc-phys
7
The categories of this paper are: hep-th
28
The categories of this paper are: alg-geom
34
The categories of this paper are: chem-ph
31
The categories of this paper are: ao-sci
14
The categories of this paper are: math-ph
12
The categories of this paper are: nucl-th
13
The categories of this paper are: quant-ph
6
The categories of this paper are: astro-ph