Volume 2, Issue 2 (6-2010)                   IJICTR 2010, 2(2): 61-70 | Back to browse issues page

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Shams Esfand Abadi M, Palangi H. The Unified Approach to Set-Membership and Selective Partial Update Adaptive Filtering Algorithms . IJICTR. 2010; 2 (2) :61-70
URL: http://ijict.itrc.ac.ir/article-1-265-en.html
1- Faculty of Electrical and Computer Engineering Shahid Rajaee Teacher Training University Tehran, Iran
2- Department of Electrical Engineering Sharif University of Technology Tehran, Iran
Abstract:   (1311 Views)

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.

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Type of Study: Research | Subject: Information Technology

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