A General Framework for the Design of Compressive Sensing using Density Evolution

2021 IEEE Information Theory Workshop (ITW)(2021)

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摘要
This paper proposes a general framework to design a sparse sensing matrix ${\mathbf {A}} \in \mathbb{R}^{m\times n}$, in a linear measurement system ${\mathbf {y = Ax}}^{\sharp } + {\mathbf {w}}$, where ${\mathbf {y}} \in \mathbb{R}^{n}, {\mathbf {x}}^{\sharp } \in \mathbb{R}^{n}$, and w denote the measurements, the signal with certain structures, and the measurement noise, respectively. By viewin...
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关键词
Graphical models,Density measurement,Atmospheric measurements,Tools,Particle measurements,Signal reconstruction,Sensors
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