Mar 22, 2016 · In this paper, we address the optimal recovery of compressible signals from multi-sensor measurements using compressed sensing techniques, ...

This paper addresses the optimal recovery of compressible signals from multi-sensor measurements using compressed sensing techniques, and presents a simpler ...

Mar 22, 2016 · In this paper, we address the optimal recovery of compressible signals from multi-sensor measurements using compressed sensing techniques, ...

In this paper, we address the optimal recovery of compressible signals from multi-sensor measurements using compressed sensing techniques, thereby confirming ...

Optimal sparse recovery for multi-sensor measurements. There are more references available in the full text version of this article.

Abstract—In this paper, we address the problem of reconstruct- ing the common nonzero support of multiple joint sparse vectors.

In the multi-sensor measurements system nonuniform recovery guarantees was proved. Underlying our recovery guarantees, it is still possible stable and robust ...

Missing: multi- | Show results with:multi-

In this paper, we present nonuniform recovery guarantees based on the so-called joint near-isometry condition, while preserving the advantage of the multi- ...

Bibliographic details on Optimal sparse recovery for multi-sensor measurements.