Robust Bayesian compressive sensing with data loss recovery for structural health monitoring signals

28 Mar 2015Yong HuangJames L. BeckStephen WuHui Li

The application of compressive sensing (CS) to structural health monitoring is an emerging research topic. The basic idea in CS is to use a specially-designed wireless sensor to sample signals that are sparse in some basis (e.g. wavelet basis) directly in a compressed form, and then to reconstruct (decompress) these signals accurately using some inversion algorithm after transmission to a central processing unit... (read more)

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