Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Identification of Matrices having a Sparse Representation   We consider the problem of recovering a matrix from its action on a known
vector in the setting where the matrix can be represented efficiently in a
known matrix dictionary. Connections with sparse signal recovery allows for the
use of efficient reconstruction techniques such as Basis Pursuit. Of particular
interest is the dictionary of time-frequency shift matrices and its role for
channel estimation and identification in communications engineering. We present
recovery results for Basis Pursuit with the time-frequency shift dictionary and
various dictionaries of random matrices.

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The categories of this paper are: hep-ph
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The categories of this paper are: hep-ex
13
The categories of this paper are: quant-ph
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The categories of this paper are: astro-ph
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The categories of this paper are: cs
7
The categories of this paper are: hep-th
17
The categories of this paper are: q-fin
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The categories of this paper are: cond-mat
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The categories of this paper are: eess
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The categories of this paper are: adap-org
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The categories of this paper are: dg-ga
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The categories of this paper are: stat
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The categories of this paper are: q-bio
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The categories of this paper are: nlin
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The categories of this paper are: patt-sol
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The categories of this paper are: alg-geom