Name
Title | ||
|---|---|---|
Optimized Basis Functions Under Gaussian Color Noise for Magnetic Target Signal Detection |
Abstract | ||
|---|---|---|
The orthogonal basis functions (OBFs) method is a viable approach for magnetic target signal detection under the Gaussian white noise. However, its performance would degrade overtly under the Gaussian color noise with the power spectral density of $1/f^{\alpha }$ , which is the common environmental magnetic noise. In this letter, based on the linear constrained minimum variance criterion and the ... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/LGRS.2020.2989351 | IEEE Geoscience and Remote Sensing Letters |
Keywords | DocType | Volume |
Noise measurement,Magnetic resonance,Colored noise,Signal detection,Detectors,Optimization,Support vector machines | Journal | 18 |
Issue | ISSN | Citations |
5 | 1545-598X | 0 |
PageRank | References | Authors |
0.34 | 0 | 6 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| M. K. Hu | 1 | 0 | 0.34 |
| C. P. Du | 2 | 0 | 0.68 |
| H. D. Wang | 3 | 0 | 0.34 |
| M. Y. Xia | 4 | 0 | 0.68 |
| X. Peng | 5 | 0 | 0.68 |
| Haitao Guo | 6 | 147 | 20.07 |