Conference
A Bayesian approach to adaptive frequency sampling
العنوان: | A Bayesian approach to adaptive frequency sampling |
---|---|
المؤلفون: | De Ridder, Simon, Deschrijver, Dirk, Spina, Domenico, Dhaene, Tom, Vande Ginste, Dries |
المصدر: | 2019 23RD IEEE WORKSHOP ON SIGNAL AND POWER INTEGRITY (SPI 2019) ; ISBN: 2475-9481 ; ISBN: 9781538683422 |
بيانات النشر: | IEEE |
سنة النشر: | 2019 |
المجموعة: | Ghent University Academic Bibliography |
مصطلحات موضوعية: | Technology and Engineering, Bayes methods, sampling methods, ALGORITHM |
الوصف: | This paper introduces an adaptive frequency sampling scheme, based on a Bayesian approach to the well-known vector fitting algorithm. This Bayesian treatment results in a data-driven measure of intrinsic model uncertainty. This uncertainty measure can in turn be leveraged to sample sequentially in an efficient and robust way. A realistic example is used to visualize the proposed scheme, and to confirm its proficiency. |
نوع الوثيقة: | conference object |
وصف الملف: | application/pdf |
اللغة: | English |
ردمك: | 978-1-5386-8342-2 1-5386-8342-3 |
Relation: | https://biblio.ugent.be/publication/8628907; http://hdl.handle.net/1854/LU-8628907; http://dx.doi.org/10.1109/SaPIW.2019.8781640; https://biblio.ugent.be/publication/8628907/file/8628908 |
DOI: | 10.1109/SaPIW.2019.8781640 |
الاتاحة: | https://biblio.ugent.be/publication/8628907 http://hdl.handle.net/1854/LU-8628907 https://doi.org/10.1109/SaPIW.2019.8781640 https://biblio.ugent.be/publication/8628907/file/8628908 |
Rights: | No license (in copyright) ; info:eu-repo/semantics/openAccess |
رقم الانضمام: | edsbas.9B1128F9 |
قاعدة البيانات: | BASE |
ردمك: | 9781538683422 1538683423 |
---|---|
DOI: | 10.1109/SaPIW.2019.8781640 |