A Bayesian approach to adaptive frequency sampling

التفاصيل البيبلوغرافية
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
الوصف
ردمك:9781538683422
1538683423
DOI:10.1109/SaPIW.2019.8781640