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.
Bekrani, M. & Lotfizad, M. (2010). Misalignment Analysis of the Three-Level Clipping-Based LMS Adaptive Algorithm in System Identification. The Modares Journal of Electrical Engineering, 10(2), 17–29.
MLA
Bekrani, M., & Lotfizad, M. "Misalignment Analysis of the Three-Level Clipping-Based LMS Adaptive Algorithm in System Identification", The Modares Journal of Electrical Engineering, 10, 2, 2010, 17–29.
HARVARD
Bekrani, M., & Lotfizad, M. (2010). 'Misalignment Analysis of the Three-Level Clipping-Based LMS Adaptive Algorithm in System Identification', The Modares Journal of Electrical Engineering, 10(2), pp. 17–29.
CHICAGO
Bekrani, M. & Lotfizad, M., "Misalignment Analysis of the Three-Level Clipping-Based LMS Adaptive Algorithm in System Identification." The Modares Journal of Electrical Engineering, 10 2 (2010): 17–29,
VANCOUVER
Bekrani M., Lotfizad M. Misalignment Analysis of the Three-Level Clipping-Based LMS Adaptive Algorithm in System Identification. The Modares Journal of Electrical Engineering. 2010;10(2):17–29.
The Modares Journal of Electrical Engineering