ملخص
Several methods have been suggested for estimating the parameters of an auto-regressive (AR) process where the innovation process is an independent, identically distributed (IID) α-stable process. The performance of the proposed algorithms has been studied by simulations. We suggest a novel, maximum likelihood (ML) type method for the same problem. Actually, we suggest use of the ML estimator for the Cauchy distribution for any 1 ≤ α <2. The performance of the proposed method is studied by simulations and its superiority over the existing methods is demonstrated. The simulations have been carried out carefully so the stationarity of the resulting AR process is guaranteed.
اللغة الأصلية | الإنجليزيّة |
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عنوان منشور المضيف | Proceedings of the IEEE Signal Processing Workshop on Higher-Order Statistics, SPW-HOS 1999 |
ناشر | Institute of Electrical and Electronics Engineers Inc. |
الصفحات | 237-240 |
عدد الصفحات | 4 |
رقم المعيار الدولي للكتب (الإلكتروني) | 0769501400, 9780769501406 |
المعرِّفات الرقمية للأشياء | |
حالة النشر | نُشِر - 1999 |
منشور خارجيًا | نعم |
الحدث | 1999 IEEE Signal Processing Workshop on Higher-Order Statistics, SPW-HOS 1999 - Caesarea, إسرائيل المدة: ١٤ يونيو ١٩٩٩ → ١٦ يونيو ١٩٩٩ |
سلسلة المنشورات
الاسم | Proceedings of the IEEE Signal Processing Workshop on Higher-Order Statistics, SPW-HOS 1999 |
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!!Conference
!!Conference | 1999 IEEE Signal Processing Workshop on Higher-Order Statistics, SPW-HOS 1999 |
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الدولة/الإقليم | إسرائيل |
المدينة | Caesarea |
المدة | ١٤/٠٦/٩٩ → ١٦/٠٦/٩٩ |
ملاحظة ببليوغرافية
Publisher Copyright:© 1999 IEEE.