Name
Abstract | ||
|---|---|---|
Industrial quality monitoring is increasing rapidly, and chal- lenging signal environments with requirement of steady per- formance pose conflicting demands to on-line tests. The se- quential 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 sug- gested and applied to a linescan problem. |
Year | DOI | Venue |
|---|---|---|
2006 | 10.1109/ICASSP.2006.1660719 | Acoustics, Speech and Signal Processing, 2006. ICASSP 2006 Proceedings. 2006 IEEE International Conference |
Keywords | Field | DocType |
Kalman filters,computerised monitoring,image recognition,production engineering computing,signal detection,Kalman filter,SPRT,industrial quality monitoring,linescan application,recognition-oriented signal processing,sequential on-line outlier detection,sequential probability ratio test | Signal processing,Anomaly detection,Detection theory,Pattern recognition,Computer science,Kalman filter,Artificial intelligence,Detector,Sequential probability ratio test | Conference |
Volume | ISSN | ISBN |
3 | 1520-6149 | 1-4244-0469-X |
Citations | PageRank | References |
2 | 0.44 | 1 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Juho Vihonen | 1 | 25 | 7.49 |
| Ala-Kleemola, T. | 2 | 4 | 1.11 |
| Kerminen, R. | 3 | 2 | 0.44 |
| Jylha, J. | 4 | 4 | 1.45 |