Geethu Joseph

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—This work addresses the problem of sequential recovery of temporally correlated sparse vectors with common support from noisy under-determined linear measurements. The Kalman sparse Bayesian learning (SBL) algorithm [1] is an efficient tool for solving the problem when the temporal correlation is modeled using a first order autoregressive model. However,(More)
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