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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Format: | Conference item |
Published: |
2010
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Summary: | 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 sequential compressed sensing and develop methods to recursively estimate the full posterior distribution of the signal. ©2010 IEEE. |
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