Bekrani, Mahdi, Lotfizad, Mojtaba (2010). Misalignment Analysis of the Three-Level Clipping-Based LMS Adaptive Algorithm in System Identification. , 10(2), 17-29.
Mahdi Bekrani; Mojtaba Lotfizad. "Misalignment Analysis of the Three-Level Clipping-Based LMS Adaptive Algorithm in System Identification". , 10, 2, 2010, 17-29.
Bekrani, Mahdi, Lotfizad, Mojtaba (2010). 'Misalignment Analysis of the Three-Level Clipping-Based LMS Adaptive Algorithm in System Identification', , 10(2), pp. 17-29.
Bekrani, Mahdi, Lotfizad, Mojtaba Misalignment Analysis of the Three-Level Clipping-Based LMS Adaptive Algorithm in System Identification. , 2010; 10(2): 17-29.

Misalignment Analysis of the Three-Level Clipping-Based LMS Adaptive Algorithm in System Identification

The Modares Journal of Electrical Engineering
Article 2, Volume 10, Issue 2, 2010, Pages 17-29    PDF (650.85 K)
Authors
Mahdi Bekrani1; Mojtaba Lotfizad* 2
1Islamic Azad Univ., Abhar Branch
2Tarbiat Modares University
Abstract
One of the problems associated with adaptive FIR filters in the identification of systems with long impulse responses, is their excessive computational complexity. Recently a new kind of adaptive filters, based on three-level clipping of the input signal has been presented for reduction of their computational complexity. In this paper, a theoretical analysis of the steady-state misalignment of adaptive filter equipped with the LMS algorithm, based on three-level clipping, is presented and by using it the minimum mean square error is achieved. This analysis can be a basis in the design of the above mentioned filters with appropriate clipping levels and proper step-sizes for system identification applications.
Keywords
Adaptive Filter; Convergence Rate; Misalignment; Three-level Clipping; Weight Update
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