On dimension reduction in Gaussian filters
A priori dimension reduction is a widely adopted technique for reducing the computational complexity of stationary inverse problems. In this setting, the solution of an inverse problem is parameterized by a low-dimensional basis that is often obtained from the truncated Karhunen-Loève expansion of...
| Main Authors: | , , , |
|---|---|
| Other Authors: | |
| Format: | Article |
| Language: | English |
| Published: |
IOP Publishing,
2016-10-24T15:55:48Z.
|
| Subjects: | |
| Online Access: | Get fulltext |