Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Tightened Upper Bounds on the ML Decoding Error Probability of Binary
  Linear Block Codes   The performance of maximum-likelihood (ML) decoded binary linear block codes
is addressed via the derivation of tightened upper bounds on their decoding
error probability. The upper bounds on the block and bit error probabilities
are valid for any memoryless, binary-input and output-symmetric communication
channel, and their effectiveness is exemplified for various ensembles of
turbo-like codes over the AWGN channel. An expurgation of the distance spectrum
of binary linear block codes further tightens the resulting upper bounds.

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The categories of this paper are: mtrl-th
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The categories of this paper are: ao-sci
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The categories of this paper are: q-fin
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The categories of this paper are: econ
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The categories of this paper are: eess
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The categories of this paper are: q-alg
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The categories of this paper are: chao-dyn
0
The categories of this paper are: hep-ph
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The categories of this paper are: nlin
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The categories of this paper are: supr-con
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The categories of this paper are: nucl-th
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The categories of this paper are: alg-geom
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The categories of this paper are: cond-mat
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The categories of this paper are: q-bio
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The categories of this paper are: atom-ph
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The categories of this paper are: plasm-ph