Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Denoising Higher-order Moments for Blind Digital Modulation
  Identification in Multiple-antenna Systems   The paper proposes a new technique that substantially improves blind digital
modulation identification (DMI) algorithms that are based on higher-order
statistics (HOS). The proposed technique takes advantage of noise power
estimation to make an offset on higher-order moments (HOM), thus getting an
estimate of noise-free HOM. When tested for multiple-antenna systems, the
proposed method outperforms other DMI algorithms, in terms of identification
accuracy, that are based only on cumulants or do not consider HOM denoising,
even for a receiver with impairments. The improvement is achieved with the same
order of complexity of the common HOS-based DMI algorithms in the same context.

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The categories of this paper are: quant-ph
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The categories of this paper are: q-fin
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The categories of this paper are: math
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The categories of this paper are: comp-gas
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The categories of this paper are: q-alg
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The categories of this paper are: nlin
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The categories of this paper are: hep-lat
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The categories of this paper are: dg-ga
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The categories of this paper are: physics
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The categories of this paper are: alg-geom
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The categories of this paper are: cmp-lg
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The categories of this paper are: bayes-an
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The categories of this paper are: hep-th
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The categories of this paper are: patt-sol
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The categories of this paper are: mtrl-th
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The categories of this paper are: supr-con