Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: An efficient joint source-channel coding for a D-dimensional array   An efficient joint source-channel (S/C) decoder based on the side information
of the source and on the MN-Gallager Code over Galois fields, $q$, is
presented. The dynamical posterior probabilities are derived either from the
statistical mechanical approach for calculation of the entropy for the
correlated sequences, or by the Markovian joint S/C algorithm. The Markovian
joint S/C decoder has many advantages over the statistical mechanical approach,
among them: (a) there is no need for the construction and the diagonalization
of a $q \times q$ matrix and for a solution to saddle point equations in $q$
dimensions; (b) a generalization to a joint S/C coding of an array of
two-dimensional bits (or higher dimensions) is achievable; (c) using parametric
estimation, an efficient joint S/C decoder with the lack of side information is
discussed. Besides the variant joint S/C decoders presented, we also show that
the available sets of autocorrelations consist of a convex volume, and its
structure can be found using the Simplex algorithm.

2
The categories of this paper are: math
37
The categories of this paper are: supr-con
29
The categories of this paper are: funct-an
16
The categories of this paper are: stat
19
The categories of this paper are: eess
17
The categories of this paper are: q-fin
8
The categories of this paper are: hep-ex
11
The categories of this paper are: hep-lat
25
The categories of this paper are: patt-sol
34
The categories of this paper are: chem-ph
9
The categories of this paper are: nlin
22
The categories of this paper are: chao-dyn
5
The categories of this paper are: gr-qc
10
The categories of this paper are: q-bio
35
The categories of this paper are: mtrl-th
15
The categories of this paper are: nucl-ex