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Oversampled adaptive sensing (OAS) is a Bayesian framework recently proposed for effective sensing of structured signals in a time-limited setting.
Feb 26, 2021 · Abstract—Oversampled adaptive sensing (OAS) is a Bayesian framework recently proposed for effective sensing of structured.
Oversampled adaptive sensing (OAS) is a Bayesian framework recently proposed for effective sensing of structured signals in a time-limited setting.
A Bayesian framework for sensing is developed which adapts the sensing time and/or basis functions to the instantaneous sensing quality measured in terms of ...
Oversampled Adaptive Sensing via a Predefined Codebook ...
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Oversampled adaptive sensing (OAS) is a Bayesian framework recently proposed for effective sensing of structured signals in a time-limited setting.
Feb 8, 2018 · Abstract:We develop a Bayesian framework for sensing which adapts the sensing time and/or basis functions to the instantaneous sensing ...
Missing: Predefined Codebook.
Oversampled adaptive sensing (OAS) is a recently proposed Bayesian framework which sequentially adapts the sensing basis. In OAS, estimation quality is, ...
Oversampled Adaptive Sensing via a Predefined Codebook Bereyhi, Ali and Asaad, Saba and Müller, Ralf R. IEEE International Symposium on Joint Communications ...
List of computer science publications by Ralf R. Müller.
Oversampled Adaptive Sensing via a Predefined Codebook. JC&S 2021: 1-6. [i18]. view. electronic edition @ arxiv.org (open access) · references & citations.