کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
5001745 | 1460975 | 2017 | 9 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Optimal smoothing for spherical Gauss-Markov Random Fields with application to weather data estimation
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
سایر رشته های مهندسی
کنترل و سیستم های مهندسی
پیش نمایش صفحه اول مقاله
![عکس صفحه اول مقاله: Optimal smoothing for spherical Gauss-Markov Random Fields with application to weather data estimation Optimal smoothing for spherical Gauss-Markov Random Fields with application to weather data estimation](/preview/png/5001745.png)
چکیده انگلیسی
This paper considers the smoothing problem for inhomogeneous Gauss-Markov Random Fields on a spherical lattice. Various observation models are considered, such as the case of noisy, possibly correlated, observations available only on a subset of sites, or a variable number of process components being measured. A 2D recursive optimal smoothing algorithm is derived, with computational complexity of O(N2) where N is the number of sites, in line with known more common algorithms for inhomogeneous fields on rectangular lattices. An application of the method in weather forecasting using real data is presented, showing the capability of the proposed method.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: European Journal of Control - Volume 33, January 2017, Pages 43-51
Journal: European Journal of Control - Volume 33, January 2017, Pages 43-51
نویسندگان
Alessandro Borri, Francesco Carravetta, Langford B. White,