Name
Abstract | ||
|---|---|---|
An overview of data fusion approaches is provided from the signal processing viewpoint. The general concept of data fusion is introduced, together with the related architectures, algorithms and performance aspects. Benefits of such an approach are highlighted and potential applications are identified. Case studies illustrate the merits of applying data fusion concepts in real world applications. |
Year | DOI | Venue |
|---|---|---|
2005 | 10.1007/11550907_114 | ICANN (2) |
Keywords | Field | DocType |
related architecture,general concept,data fusion,signal processing viewpoint,data fusion approach,modern engineering application,potential application,performance aspect,case study,real world application,data fusion concept,signal processing | Signal processing,Feature fusion,Computer science,Sensor fusion,Artificial intelligence,Formal methods,Engineering information systems,Blind signal separation,Machine learning | Conference |
Volume | ISSN | ISBN |
3697 | 0302-9743 | 3-540-28755-8 |
Citations | PageRank | References |
16 | 0.92 | 9 |
Authors | ||
10 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Danilo Mandic | 1 | 1641 | 173.32 |
| Dragan Obradovic | 2 | 71 | 27.12 |
| Anthony Kuh | 3 | 144 | 25.23 |
| Tülay Adali | 4 | 1690 | 126.40 |
| Udo Trutschel | 5 | 39 | 6.50 |
| Martin Golz | 6 | 46 | 10.68 |
| Philippe De Wilde | 7 | 192 | 23.86 |
| Javier Barria | 8 | 36 | 4.21 |
| Anthony G. Constantinides | 9 | 179 | 36.99 |
| Jonathon Chambers | 10 | 99 | 8.84 |