Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Mathematical modelling of the electric sense of fish: the role of
  multi-frequency measurements and movement   Understanding active electrolocation in weakly electric fish remains a
challenging issue. In this article we propose a mathematical formulation of
this problem, in terms of partial differential equations. This allows us to
detail two algorithms: one for localizing a target using the multi-frequency
aspect of the signal, and antoher one for identifying the shape of this target.
Shape recognition is designed in a machine learning point of view, and take
advantage of both the multi-frequency setup and the movement of the fish around
its prey. Numerical simulations are shown for the computation of the electric
field emitted and sensed by the fish; they are then used as an input for the
two algorithms.

19
The categories of this paper are: eess
29
The categories of this paper are: funct-an
23
The categories of this paper are: solv-int
18
The categories of this paper are: econ
3
The categories of this paper are: physics
36
The categories of this paper are: cmp-lg
13
The categories of this paper are: quant-ph
27
The categories of this paper are: comp-gas
34
The categories of this paper are: chem-ph
8
The categories of this paper are: hep-ex
16
The categories of this paper are: stat
24
The categories of this paper are: dg-ga
33
The categories of this paper are: plasm-ph
25
The categories of this paper are: patt-sol
5
The categories of this paper are: gr-qc
0
The categories of this paper are: hep-ph