Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | 남상원 | - |
dc.date.accessioned | 2020-11-18T02:12:59Z | - |
dc.date.available | 2020-11-18T02:12:59Z | - |
dc.date.issued | 2019-12 | - |
dc.identifier.citation | IEEE ACCESS, No. 8, Page. 185796-185803 | en_US |
dc.identifier.issn | 2169-3536 | - |
dc.identifier.uri | https://ieeexplore.ieee.org/document/9215977 | - |
dc.identifier.uri | https://repository.hanyang.ac.kr/handle/20.500.11754/155657 | - |
dc.description.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. | en_US |
dc.description.sponsorship | This work was supported in part by the Institute of Information and Communications Technology Planning and Evaluation (IITP) funded by the Korea Government (MSIT) (Intelligent Signal Processing for AI Speaker Voice Guardian) under Grant 2017-0-00474, and in part by the Institute of Information and Communications Technology Planning and Evaluation (IITP) funded by the Korea Government (MSIT) (Artificial Intelligence Graduate School Program, Hanyang University) under Grant 2020-0-01373. | en_US |
dc.language.iso | en | en_US |
dc.publisher | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC | en_US |
dc.subject | Delayless structure | en_US |
dc.subject | individual-weighting-factors sign subband adaptive filter | en_US |
dc.subject | block implementation | en_US |
dc.subject | active impulsive noise control | en_US |
dc.subject | band-dependent variable step-size | en_US |
dc.title | Delayless Block Individual-Weighting-Factors Sign Subband Adaptive Filters With an Improved Band-Dependent Variable Step-Size | en_US |
dc.type | Article | en_US |
dc.relation.no | 8 | - |
dc.identifier.doi | 10.1109/ACCESS.2020.3029269 | - |
dc.relation.page | 185796-185803 | - |
dc.relation.journal | IEEE ACCESS | - |
dc.contributor.googleauthor | KIM, JUNG-HEE | - |
dc.contributor.googleauthor | CHOI, JEONG-HWAN | - |
dc.contributor.googleauthor | NAM, SANG WON | - |
dc.contributor.googleauthor | CHANG, JOON-HYUK | - |
dc.relation.code | 2019036307 | - |
dc.sector.campus | S | - |
dc.sector.daehak | COLLEGE OF ENGINEERING[S] | - |
dc.sector.department | DEPARTMENT OF ELECTRONIC ENGINEERING | - |
dc.identifier.pid | swnam | - |
dc.identifier.researcherID | P-1664-2015 | - |
dc.identifier.orcid | https://orcid.org/0000-0001-9185-6928 | - |
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