Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Combinatorial Entropy Encoding   This paper proposes a novel entropy encoding technique for lossless data
compression. Representing a message string by its lexicographic index in the
permutations of its symbols results in a compressed version matching Shannon
entropy of the message. Commercial data compression standards make use of
Huffman or arithmetic coding at some stage of the compression process. In the
proposed method, like arithmetic coding entire string is mapped to an integer
but is not based on fractional numbers. Unlike both arithmetic and Huffman
coding no prior entropy model of the source is required. Simple intuitive
algorithm based on multinomial coefficients is developed for entropy encoding
that adoptively uses low number of bits for more frequent symbols. Correctness
of the algorithm is demonstrated by an example.

5
The categories of this paper are: gr-qc
15
The categories of this paper are: nucl-ex
3
The categories of this paper are: physics
18
The categories of this paper are: econ
16
The categories of this paper are: stat
30
The categories of this paper are: q-alg
12
The categories of this paper are: nucl-th
32
The categories of this paper are: atom-ph
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The categories of this paper are: nlin
37
The categories of this paper are: supr-con
10
The categories of this paper are: q-bio
13
The categories of this paper are: quant-ph
19
The categories of this paper are: eess
26
The categories of this paper are: bayes-an
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The categories of this paper are: astro-ph
0
The categories of this paper are: hep-ph