Conference
F-boxes for filtering
| العنوان: | F-boxes for filtering |
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| المؤلفون: | Strauss, Olivier, Destercke, Sébastien |
| المساهمون: | Image & Interaction (ICAR), Laboratoire d'Informatique de Robotique et de Microélectronique de Montpellier (LIRMM), Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS), Heuristique et Diagnostic des Systèmes Complexes Compiègne (Heudiasyc), Université de Technologie de Compiègne (UTC)-Centre National de la Recherche Scientifique (CNRS), European Society for Fuzzy Logic and Technology |
| المصدر: | 7th Conference of the European Society for Fuzzy Logic and Technology (EUSFLAT) and «les rencontres francophones sur la Logique Floue et ses Applications» (LFA) EUSFLAT-LFA https://hal.science/hal-00655596 EUSFLAT-LFA, European Society for Fuzzy Logic and Technology, Jul 2011, Aix-les-Bains, France. pp.935-942, ⟨10.2991/eusflat.2011.108⟩ |
| بيانات النشر: | HAL CCSD Atlantis Press |
| سنة النشر: | 2011 |
| المجموعة: | Université de Technologie de Compiègne: HAL |
| مصطلحات موضوعية: | Possibility measures, maxitive kernels, pboxes, clouds, signal filtering, [INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing, [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing |
| جغرافية الموضوع: | Aix-les-Bains, France |
| الوصف: | International audience ; Selecting a particular summative kernel (i.e., formally equivalent to a probability distribution) when filtering a digital signal can be a difficult task. An obvious solution to this problem is to filter with multiple kernels rather than with a single one, but the computing cost of such a solution can quickly become prohibitive (especially in real-time applications). Another alternative, the one studied in this paper, is to consider kernels modeled by imprecise probabilistic representations. Considering such representations makes the use of numerical tools coming from imprecise probability theory possible, such as the Choquet integral, and allows one to work with multiple kernels without multiplying too much the number of required computations. In this paper, we propose to use the well-known p-box representation to filter a digital signal. We show that the use p-boxes allows making more precise inferences than those obtained with possibility distributions and clouds. We then discuss the practical aspect of computing a filtered signal with p-boxes, and finish by some experiments. |
| نوع الوثيقة: | conference object |
| اللغة: | English |
| Relation: | hal-00655596; https://hal.science/hal-00655596; https://hal.science/hal-00655596/document; https://hal.science/hal-00655596/file/fbox_filter_short.pdf |
| DOI: | 10.2991/eusflat.2011.108 |
| الاتاحة: | https://hal.science/hal-00655596 https://hal.science/hal-00655596/document https://hal.science/hal-00655596/file/fbox_filter_short.pdf https://doi.org/10.2991/eusflat.2011.108 |
| Rights: | info:eu-repo/semantics/OpenAccess |
| رقم الانضمام: | edsbas.8144FAFF |
| قاعدة البيانات: | BASE |
| DOI: | 10.2991/eusflat.2011.108 |
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