Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Robustness of Two-Dimensional Line Spectral Estimation Against Spiky
  Noise   The aim of two-dimensional line spectral estimation is to super-resolve the
spectral point sources of the signal from time samples. In many associated
applications such as radar and sonar, due to cut-off and saturation regions in
electronic devices, some of the numbers of samples are corrupted by spiky
noise. To overcome this problem, we present a new convex program to
simultaneously estimate spectral point sources and spiky noise in two
dimensions. To prove uniqueness of the solution, it is sufficient to show that
a dual certificate exists. Construction of the dual certificate imposes a mild
condition on the separation of the spectral point sources. Also, the number of
spikes and detectable sparse sources are shown to be a logarithmic function of
the number of time samples. Simulation results confirm the conclusions of our
general theory.

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The categories of this paper are: mtrl-th
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The categories of this paper are: cond-mat
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The categories of this paper are: chem-ph
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The categories of this paper are: atom-ph
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The categories of this paper are: hep-ex
5
The categories of this paper are: gr-qc
12
The categories of this paper are: nucl-th
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The categories of this paper are: plasm-ph
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The categories of this paper are: q-fin
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The categories of this paper are: hep-lat
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The categories of this paper are: physics
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The categories of this paper are: cmp-lg
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The categories of this paper are: alg-geom
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The categories of this paper are: q-alg
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The categories of this paper are: eess
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The categories of this paper are: chao-dyn