| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 1759364 | Ultrasonics | 2006 | 5 Pages |
Abstract
In this paper, a newly developed eigendecomposition-based adaptive filter is applied in flow velocity estimation and its performance is evaluated and compared with the static polynomial regression filter. Results demonstrate that the eigendecomposition-based filter is the fully-adaptive and can not only suppress the clutter signals with minimal loss of low-flow signal, but also give less influence on the flow velocity estimation especially under the circumstance of high clutter velocity.
Related Topics
Physical Sciences and Engineering
Physics and Astronomy
Acoustics and Ultrasonics
Authors
Fuxian Song, Dong Zhang, Xiufen Gong,