Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Robust Spectral Filtering and Anomaly Detection   We consider a setting, where the output of a linear dynamical system (LDS)
is, with an unknown but fixed probability, replaced by noise. There, we present
a robust method for the prediction of the outputs of the LDS and identification
of the samples of noise, and prove guarantees on its statistical performance.
One application lies in anomaly detection: the samples of noise, unlikely to
have been generated by the dynamics, can be flagged to operators of the system
for further study.

6
The categories of this paper are: astro-ph
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The categories of this paper are: econ
19
The categories of this paper are: eess
14
The categories of this paper are: math-ph
11
The categories of this paper are: hep-lat
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The categories of this paper are: gr-qc
13
The categories of this paper are: quant-ph
3
The categories of this paper are: physics
12
The categories of this paper are: nucl-th
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The categories of this paper are: comp-gas
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The categories of this paper are: nlin
31
The categories of this paper are: ao-sci
4
The categories of this paper are: cond-mat
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The categories of this paper are: bayes-an
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The categories of this paper are: funct-an
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The categories of this paper are: alg-geom