A Normalized Subband Adaptive Filter with Combined Regularization Parameter. Issue 24 (2019)

• Record Type: Journal Article
• Authors: Shi, Long; Zhao, Haiquan
• Is Part Of: IFAC-PapersOnLine. Volume 52:Issue 24(2019)
• Page Start: 158
• Page End: 162
• Publication Date: 2019
• Subjects: subband adaptive filter -- mixing parameter -- regularization parameter -- fast convergence -- misalignment; Automatic control -- Periodicals; 629.805
• DOI: 10.1016/j.ifacol.2019.12.399
• Languages: English
• ISSNs: 2405-8963

Abstract

Abstract: Proposed is a novel variable regularization algorithm for normalized subband adaptive filter (NSAF) by employing the mixing parameter to combine a large regularization parameter with a small regularization parameter. The mixing parameter is derived by minimizing the energy of noise-free a posteriori subband error. The combined regularization parameter can vary from a small value to a large value. Therefore, the proposed algorithm exhibits fast convergence rate meanwhile obtains low steady-state misalignment. Experimental simulations demonstrate the effectiveness of our work.