Name
Abstract | ||
|---|---|---|
The curse of outlier measurements in estimation problems is a well-known issue in a variety of fields. Therefore, outlier removal procedures, which enables the identification of spurious measurements within a set, have been developed for many different scenarios and applications. In this paper, we propose a statistically motivated outlier removal algorithm for time differences of arrival (TDOAs), ... |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1109/TSP.2017.2701311 | IEEE Transactions on Signal Processing |
Keywords | DocType | Volume |
Acoustic measurements,Atmospheric measurements,Particle measurements,Signal processing algorithms,Noise measurement,Estimation,Sensor arrays | Journal | 65 |
Issue | ISSN | Citations |
15 | 1053-587X | 4 |
PageRank | References | Authors |
0.44 | 19 | 7 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Marco Compagnoni | 1 | 39 | 3.71 |
| Alessia Pini | 2 | 6 | 2.55 |
| Antonio Canclini | 3 | 103 | 13.46 |
| Paolo Bestagini | 4 | 261 | 32.01 |
| Fabio Antonacci | 5 | 156 | 24.08 |
| Stefano Tubaro | 6 | 1033 | 119.50 |
| Augusto Sarti | 7 | 462 | 81.26 |