Delayless Block Individual-Weighting-Factors Sign Subband Adaptive Filters With an Improved Band-Dependent Variable Step-Sizeopen access
- Authors
- Kim, Jung-Hee; Choi, Jeong-Hwan; Nam, Sang Won; Chang, Joon-Hyuk
- Issue Date
- Oct-2020
- Publisher
- IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
- Keywords
- Convergence; Signal processing algorithms; Robustness; Adaptive filters; Interference; Computational complexity; Licenses; Delayless structure; individual-weighting-factors sign subband adaptive filter; block implementation; active impulsive noise control; band-dependent variable step-size
- Citation
- IEEE ACCESS, v.8, pp.185796 - 185803
- Indexed
- SCIE
SCOPUS
- Journal Title
- IEEE ACCESS
- Volume
- 8
- Start Page
- 185796
- End Page
- 185803
- URI
- https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/8869
- DOI
- 10.1109/ACCESS.2020.3029269
- Abstract
- Delayless individual-weighting-factors sign subband adaptive filter (IWF-SSAF) algorithms with a band-dependent variable step-size (BDVSS) were recently introduced to achieve a robust convergence performance against the impulsive interference and to avoid an undesirable signal path delay in subband systems. In this paper, we develop a block implementation of the delayless IWF-SSAF algorithm designed for an active impulsive noise control (AINC) system. With the block-processing approach, the proposed delayless block IWF-SSAF algorithm can be implemented more efficiently than the original delayless algorithm regardless of number of subbands, which is verified through the computational analysis. Furthermore, an improved BDVSS version (I-BDVSS) is also proposed by using the multiple auxiliary past gradients, which are given for each band by the block-processing. Finally, the simulation results illustrate that the proposed delayless block IWF-SSAF algorithm with the I-BDVSS, even requiring less computational burden, can achieve a better convergence performance than the original delayless algorithm with the BDVSS under severe impulsive noise control environment.
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