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Missing data imputation is often required in wireless sensor networks (WSNs) to fill up missing measurements due to transmission loss, hardware failure and other factors. In this paper, we propose new variable forgetting factor (VFF) and regularization extensions to the recursive dynamic factor analysis (RDFA) algorithm for imputation of missing data in WSN data. It takes advantage of the correlated...
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