Bayesian sequential compressed sensing in sparse dynamical systems

While the theory of compressed sensing provides means to reliably and efficiently acquire a sparse high-dimensional signal from a small number of its linear projections, sensing of dynamically changing sparse signals is still not well understood.We pursue a Bayesian approach to the problem of sequen...

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Bibliographic Details
Main Authors: Sejdinović, D, Andrieu, C, Piechocki, R
Format: Conference item
Published: 2010