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For multiple measurement vector (MMV) problem
$Y=AX$
where $A$ is $m \times n$ sensing matrix and $X$ is $n \times L$ matrix haveing K non zero rows.

What are the necessary conditions on the number of measrments $m$ and sparsity K to recover the signal $X$ from $Y$ using OMP?

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    $\begingroup$ the question here is: recover with which degree of error? $\endgroup$ – Marcus Müller Apr 26 '18 at 11:37
  • $\begingroup$ As the degree of error is also dependent on the number of measrements, $m$ should be a function of the degree of error, coherence of the sensing matrics, $n$ and $L$ . $\endgroup$ – Digi1 Apr 26 '18 at 12:03

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