Widely Linear Quaternion-Valued Least-Mean Kurtosis Algorithm
dc.authorid | Mandic, Danilo/0000-0001-8432-3963 | |
dc.contributor.author | Menguc, Engin Cemal | |
dc.contributor.author | Acir, Nurettin | |
dc.contributor.author | Mandic, Danilo P. | |
dc.date.accessioned | 2024-11-07T13:34:38Z | |
dc.date.available | 2024-11-07T13:34:38Z | |
dc.date.issued | 2020 | |
dc.department | Niğde Ömer Halisdemir Üniversitesi | |
dc.description.abstract | A widely linear quaternion-valued least-mean kurtosis (WL-QLMK) algorithm is introduced for adaptive filtering of quaternion-valued circular and noncircular signals. In the design, kurtosis-based cost function is first defined in the quaternion domain by integrating the widely linear model, and augmented statistics, and then minimized using the recently developed generalized Hamilton-real (GHR) calculus. In this way, the novel WL-QLMK algorithm is obtained for training quaternion-valued adaptive filter structures. Furthermore, its steady-state performance is theoretically analyzed to determine the bounds of the step size, which provides a theoretical justification for simulations. The simulation results over both benchmark system identification scenarios, and one-step-ahead predictions of real-world 4D pathological resting tremors show that the proposed WL-QLMK algorithm, by virtue of its newly defined cost function, significantly enhances the performance compared to the recently developed quaternion-valued algorithms, especially for noncircular signals. | |
dc.identifier.doi | 10.1109/TSP.2020.3029959 | |
dc.identifier.endpage | 5922 | |
dc.identifier.issn | 1053-587X | |
dc.identifier.issn | 1941-0476 | |
dc.identifier.scopus | 2-s2.0-85105868095 | |
dc.identifier.scopusquality | Q1 | |
dc.identifier.startpage | 5914 | |
dc.identifier.uri | https://doi.org/10.1109/TSP.2020.3029959 | |
dc.identifier.uri | https://hdl.handle.net/11480/16077 | |
dc.identifier.volume | 68 | |
dc.identifier.wos | WOS:000584793600001 | |
dc.identifier.wosquality | Q1 | |
dc.indekslendigikaynak | Web of Science | |
dc.indekslendigikaynak | Scopus | |
dc.language.iso | en | |
dc.publisher | IEEE-Inst Electrical Electronics Engineers Inc | |
dc.relation.ispartof | Ieee Transactions on Signal Processing | |
dc.relation.publicationcategory | Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı | |
dc.rights | info:eu-repo/semantics/closedAccess | |
dc.snmz | KA_20241106 | |
dc.subject | Quaternions | |
dc.subject | Signal processing algorithms | |
dc.subject | Calculus | |
dc.subject | Covariance matrices | |
dc.subject | Cost function | |
dc.subject | Adaptation models | |
dc.subject | Algebra | |
dc.subject | Adaptive filters | |
dc.subject | circular and noncircular quaternion signals | |
dc.subject | least mean kurtosis | |
dc.subject | strictly linear | |
dc.subject | widely linear | |
dc.title | Widely Linear Quaternion-Valued Least-Mean Kurtosis Algorithm | |
dc.type | Article |