On Sequential On-Line Outlier Detection and a Linescan Application

Industrial quality monitoring is increasing rapidly, and challenging signal environments with requirement of steady performance pose conflicting demands to on-line tests. The sequential probability ratio test (SPRT) and the Kalman filter (KF) are proposed as two tools for detection and recognition-oriented signal processing. A modified sequential test is suggested and applied to a linescan problem