DESIGN OF SELECTIVE DETECTOR FOR DISTRIBUTED TARGETS THROUGH STOCHASTIC CHARACTERISTIC OF THE FICTITIOUS SIGNAL

Design of Selective Detector for Distributed Targets Through Stochastic Characteristic of the Fictitious Signal

We investigate the problem of detecting the distributed targets buried in the Gaussian noise whose covariance matrix is unknown when signal mismatch occurs.The idea is to add a fictitious signal under the null hypothesis of the origin detection problem so that when signal mismatch occurs, the fictitious signal captures the mismatched signals, thus

read more

Multi-Branch Deep Fusion Network-Based Automatic Detection of Weld Defects Using Non-Destructive Ultrasonic Test

This study introduces a deep learning engine designed for the non-destructive automatic detection of defects within weld beads.A 1D waveform ultrasound outil pour bague de verrouillage bosch signal was collected using an A-scan pulser receiver to gather defect signals from inside the weld bead.We established 5,108 training datasets and 500 test dat

read more