Robust Bayesian Compressive Sensing for Signals in Structural Health Monitoring
Robust Bayesian Compressive Sensing for Signals in Structural Health Monitoring
In structural health monitoring (SHM) systems, massive amounts of data are often generated that need data compression techniques to reduce the cost of signal transfer and storage. Compressive sensing (CS) is a novel data acquisition method whereby the compression is done in a sensor simultaneously with the sampling. If the …