Robust processing of heavy tails signals - comparison of approaches

Liam Galin, Hagit Messer

نتاج البحث: نتاج بحثي من مؤتمرمحاضرةمراجعة النظراء

ملخص

This paper deals with robust estimation of AR parameters. We compare the performance of the LMS algorithm to the performance of two robust, adaptive algorithms: the LMAD algorithm of Shao and Nikias in which the error signal in the LMS algorithm is hard-limited before used to control the weights, and the LLMS algorithm in which the input process is soft-limited before the LMS algorithm is applied. The comparison is done in terms of rate of convergence and stability (steady state variance). We show that with a proper choice of limiting level, the LLMS algorithm outperforms the LMAD algorithms when applied to symmetric, α stable processes of 1 ≤ α ≤ 2.

اللغة الأصليةالإنجليزيّة
الصفحات230-233
عدد الصفحات4
حالة النشرنُشِر - 1996
منشور خارجيًانعم
الحدثProceedings of the 1996 8th IEEE Signal Processing Workshop on Statistical Signal and Array Processing, SSAP'96 - Corfu, Greece
المدة: ٢٤ يونيو ١٩٩٦٢٦ يونيو ١٩٩٦

!!Conference

!!ConferenceProceedings of the 1996 8th IEEE Signal Processing Workshop on Statistical Signal and Array Processing, SSAP'96
المدينةCorfu, Greece
المدة٢٤/٠٦/٩٦٢٦/٠٦/٩٦

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