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Methodology and GUI for NDE/SHM using Two-Stage Compressive Sensing

Reference #: 01579 The University of South Carolina is offering licensing opportunities for Methodology and GUI for NDE/SHM using Two-Stage Compressive Sensing Background: Compressive Sensing has been shown to greatly reduce data acquisition and processing burdens by providing mathematical guarantees for accurate signal recovery from far fewer samples...

Published: 10/26/2023 | Inventor(s): Sourav Banerjee, Mustahseen Indaleeb, Shawn Beard, Ritubarna Banerjee

Keywords(s): Compressive Sensing, Data Features, Data Reduction, NDE, SHM, Ultrasonics

Category(s): Engineering and Physical Sciences