On Compressed Sensing of Binary Signals for the Unsourced Random Access Channel

Motivated by applications in unsourced random access, this paper develops a novel scheme for the problem of compressed sensing of binary signals. In this problem, the goal is to design a sensing matrix <i>A</i> and a recovery algorithm, such that the sparse binary vector <inline-formula><math xmlns=...

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Hlavní autoři:	Elad Romanov, Or Ordentlich
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	MDPI AG 2021-05-01
Edice:	Entropy
Témata:	unsourced random access compressed sensing low-density parity-check codes glauber dynamics
On-line přístup:	https://www.mdpi.com/1099-4300/23/5/605
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