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International Journal of Information and Communication Technology Research (IJICT، جلد ۲، شماره ۲، صفحات ۶۱-۷۰
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عنوان انگلیسی The Unified Approach to Set-Membership and Selective Partial Update Adaptive Filtering Algorithms
چکیده انگلیسی مقاله In this paper we show how the classical and modern adaptive filter algorithms can be introduced in a unified way. The Max normalized least mean squares (MAX-NLMS), N-Max NLMS, the family of SPU-NLMS, SPU transform domain adaptive filter (SPU-TDAF), and SPU subband adaptive filter (SPU-SAF) are particular algorithms are established in a unified way. Following this, the concept of set-membership (SM) adaptive filtering is extended to this framework, and a unified approach to derivation of SM and SM-SPU adaptive filters is presented. The SM-NLMS, SM-TDAF, SM-SAF, SM-SPU-NLMS, and SM-SPUSAF are presented based on this approach. Also, this concept is extended to the SPU affine projection (SPU-AP) and SPUTDAF algorithms and two new algorithms which are called SM-SPU-AP and SM-SPU-TDAF algorithms, are established. These novel algorithms are computationally efficient. The good performance of the presented algorithms is demonstrated in system identification application.
کلیدواژه‌های انگلیسی مقاله Adaptive filter, selective partial update, set-membership
نویسندگان مقاله | Mohammad Shams Esfand Abadi
Faculty of Electrical and Computer Engineering Shahid Rajaee Teacher Training University Tehran, Iran


| Hamid Palangi
Department of Electrical Engineering Sharif University of Technology Tehran, Iran
نشانی اینترنتی http://ijict.itrc.ac.ir/browse.php?a_code=A-10-27-235&slc_lang=en&sid=1
فایل مقاله اشکال در دسترسی به فایل - ./files/site1/rds_journals/417/article-417-1212523.pdf
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زبان مقاله منتشر شده en
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نوع مقاله منتشر شده پژوهشی
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