Development of a data-reduction procedure with noise extraction for high-spatial-resolution optical measurements

摘要

Abstract: Information on the measurement noise can be extracted from repeated measurements or from response measurements without exciting the structure. This process, however, slows down the measurement procedure and therefore few authors report about the use of these approaches in modal analysis applications. Since the availability of a quality measure of both measurements and estimated modal parameters yields promising results in many steps of the modal analysis procedure, we propose in this article a noise extraction procedure for high resolution optical measurements that does not require extra measurement time. The measurement noise variances are estimated from the redundancy in the high spatial resolution images. Furthermore the paper discusses the use of spline regression as a data reduction technique. The proposed technique is validated on simulated data as well as on measured holographical images. !16