| 书目名称 | Nonlinear Data Assimilation |
| 编辑 | Peter Jan Van Leeuwen,Yuan Cheng,Sebastian Reich |
| 视频video | |
| 概述 | Consists of two contributions by leading experts in the field.Provides a proper introduction of localization in particle filters, which is lacking in current literature.Gives insight to sophisticated |
| 丛书名称 | Frontiers in Applied Dynamical Systems: Reviews and Tutorials |
| 图书封面 |  |
| 描述 | This book contains two review articles on nonlinear data assimilation that deal with closely related topics but were written and can be read independently. Both contributions focus on so-called particle filters..The first contribution by Jan van Leeuwen focuses on the potential of proposal densities. It discusses the issues with present-day particle filters and explorers new ideas for proposal densities to solve them, converging to particle filters that work well in systems of any dimension, closing the contribution with a high-dimensional example. The second contribution by Cheng and Reich discusses a unified framework for ensemble-transform particle filters. This allows one to bridge successful ensemble Kalman filters with fully nonlinear particle filters, and allows a proper introduction of localization in particle filters, which has been lacking up to now.. |
| 出版日期 | Book 2015 |
| 关键词 | applied dynamical systems; data assimilation; nonlinear data; particle filters; proposal densities |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-319-18347-3 |
| isbn_softcover | 978-3-319-18346-6 |
| isbn_ebook | 978-3-319-18347-3Series ISSN 2364-4532 Series E-ISSN 2364-4931 |
| issn_series | 2364-4532 |
| copyright | The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl |
发表于 2025-3-21 19:03:01
