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 t...
| Main Authors: | , , , |
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| Other Authors: | |
| Format: | Article |
| Language: | en_US |
| Published: |
IOP Publishing
2016
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| Online Access: | http://hdl.handle.net/1721.1/104940 https://orcid.org/0000-0001-7359-4696 https://orcid.org/0000-0002-4840-8545 https://orcid.org/0000-0001-8242-3290 |