Distributed detection of sparse stochastic signals via fusion of 1-bit local likelihood ratios
In this letter, we consider the detection of sparse stochastic signals with sensor networks
(SNs), where the fusion center (FC) collects 1-bit data from the local sensors and then …
(SNs), where the fusion center (FC) collects 1-bit data from the local sensors and then …
Distributed Detection of Sparse Stochastic Signals via Fusion of 1-bit Local Likelihood Ratios
C Li, Y He, X Wang, G Li… - IEEE Signal Processing …, 2019 - ui.adsabs.harvard.edu
In this letter, we consider the detection of sparse stochastic signals with sensor networks
(SNs), where the fusion center (FC) collects 1-bit data from the local sensors and then …
(SNs), where the fusion center (FC) collects 1-bit data from the local sensors and then …
Distributed Detection of Sparse Stochastic Signals via Fusion of 1-bit Local Likelihood Ratios
C Li, Y He, X Wang, G Li, PK Varshney - arXiv preprint arXiv:1908.09656, 2019 - arxiv.org
In this letter, we consider the detection of sparse stochastic signals with sensor networks
(SNs), where the fusion center (FC) collects 1-bit data from the local sensors and then …
(SNs), where the fusion center (FC) collects 1-bit data from the local sensors and then …
Distributed Detection of Sparse Stochastic Signals via Fusion of 1-bit Local Likelihood Ratios
C Li, Y He, X Wang, G Li… - IEEE Signal Processing …, 2019 - experts.syr.edu
In this letter, we consider the detection of sparse stochastic signals with sensor networks
(SNs), where the fusion center (FC) collects 1-bit data from the local sensors and then …
(SNs), where the fusion center (FC) collects 1-bit data from the local sensors and then …