A kernel recursive minimum error entropy adaptive filter
The minimum error entropy, a currently useful alternative criterion, is widely adopted in the signal processing domain against impulsive noise. In this brief, we propose a novel algorithm to blend the advantages of both the kernel recursive least squares algorithm and the minimum error entropy crite...
Gespeichert in:
| Veröffentlicht in: | Signal processing Jg. 193; S. 108410 |
|---|---|
| Hauptverfasser: | , , , , , , |
| Format: | Journal Article |
| Sprache: | Englisch |
| Veröffentlicht: |
Elsevier B.V
01.04.2022
|
| Schlagworte: | |
| ISSN: | 0165-1684, 1872-7557 |
| Online-Zugang: | Volltext |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| Abstract | The minimum error entropy, a currently useful alternative criterion, is widely adopted in the signal processing domain against impulsive noise. In this brief, we propose a novel algorithm to blend the advantages of both the kernel recursive least squares algorithm and the minimum error entropy criterion, called kernel recursive minimum error entropy algorithm. The proposed new algorithm achieves better recovery performance in predicting the Mackey–Glass time series, equalizing the nonlinear channel under heavy tailed alpha-stable environments and processing EEG data. |
|---|---|
| AbstractList | The minimum error entropy, a currently useful alternative criterion, is widely adopted in the signal processing domain against impulsive noise. In this brief, we propose a novel algorithm to blend the advantages of both the kernel recursive least squares algorithm and the minimum error entropy criterion, called kernel recursive minimum error entropy algorithm. The proposed new algorithm achieves better recovery performance in predicting the Mackey–Glass time series, equalizing the nonlinear channel under heavy tailed alpha-stable environments and processing EEG data. |
| ArticleNumber | 108410 |
| Author | Peng, Bei Yang, Xinyue He, Yuanhang Wang, Gang Ma, Xiangjie Fu, Zhenting Wu, Lei |
| Author_xml | – sequence: 1 givenname: Gang surname: Wang fullname: Wang, Gang organization: School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu 611731, PR China – sequence: 2 givenname: Xinyue surname: Yang fullname: Yang, Xinyue organization: School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu 611731, PR China – sequence: 3 givenname: Lei surname: Wu fullname: Wu, Lei organization: School of Resources and Environment, University of Electronic Science and Technology of China, Chengdu 611731, PR China – sequence: 4 givenname: Zhenting surname: Fu fullname: Fu, Zhenting organization: School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu 611731, PR China – sequence: 5 givenname: Xiangjie surname: Ma fullname: Ma, Xiangjie organization: No.30 Research Institute of China Electronics Technology Group Corporation, Chengdu 610041, PR China – sequence: 6 givenname: Yuanhang surname: He fullname: He, Yuanhang organization: No.30 Research Institute of China Electronics Technology Group Corporation, Chengdu 610041, PR China – sequence: 7 givenname: Bei surname: Peng fullname: Peng, Bei email: beipeng@uestc.edu.cn organization: School of Mechanical and Electrical Engineering, University of Electronic Science and Technology of China, Chengdu 611731, PR China |
| BookMark | eNqFkM9KAzEQh4NUsK2-gYd9ga1JNtlkPQil-A8KXvQctslEUnc3S5IW-vamrCcPehqYme_HzLdAs8EPgNAtwSuCSX23X0X3OQa_opiS3JKM4As0J1LQUnAuZmie13hJasmu0CLGPcaYVDWeI7kuviAM0BUB9CFEd4Sid4PrD30BIfhQwJCCH09Fa9oxncfWdQnCNbq0bRfh5qcu0cfT4_vmpdy-Pb9u1ttSV7hOpRGVJbCTeNdYKpilBDgn2oAADjSXihjRNEwClUxQjpnlGrhlbEdMU4tqie6nXB18jAGs0i61yfl8Vus6RbA6O1B7NTlQZwdqcpBh9gseg-vbcPoPe5gwyI8dHQQVtYNBg3HZUlLGu78DvgF6RXqR |
| CitedBy_id | crossref_primary_10_1109_ACCESS_2024_3370471 crossref_primary_10_1016_j_sigpro_2023_108979 crossref_primary_10_1145_3742795 crossref_primary_10_1016_j_ins_2023_120026 crossref_primary_10_1016_j_isatra_2023_05_006 crossref_primary_10_1016_j_dsp_2024_104768 crossref_primary_10_1109_TCSII_2023_3253500 crossref_primary_10_1016_j_oceaneng_2024_117117 crossref_primary_10_1109_TSMC_2025_3547378 crossref_primary_10_1016_j_sigpro_2023_108952 crossref_primary_10_1109_ACCESS_2024_3355312 crossref_primary_10_1109_TAES_2023_3312057 crossref_primary_10_1016_j_engappai_2023_105957 crossref_primary_10_1016_j_patcog_2022_109188 crossref_primary_10_1007_s00034_022_02115_2 crossref_primary_10_1016_j_sigpro_2024_109535 crossref_primary_10_1016_j_sigpro_2023_109285 crossref_primary_10_1109_LSP_2025_3567019 crossref_primary_10_1109_TCSI_2024_3408919 crossref_primary_10_1109_TNNLS_2024_3518592 crossref_primary_10_1109_LCOMM_2022_3199751 |
| Cites_doi | 10.1016/j.sigpro.2019.02.030 10.1016/j.sigpro.2020.107534 10.1007/s00034-019-01111-3 10.1109/TSP.2007.907881 10.1016/j.sigpro.2015.04.024 10.1016/j.sigpro.2020.107836 10.1109/TNNLS.2016.2635151 10.1109/TSP.2004.830985 10.1093/cercor/bhy294 10.1109/LCOMM.2019.2918816 10.1016/j.sigpro.2020.107810 10.1109/LSP.2015.2428713 10.1109/TSP.2020.3021240 10.1109/TNN.2009.2033676 10.1109/ACCESS.2020.3004871 10.1109/TPAMI.2018.2868685 10.1016/j.neucom.2013.04.037 10.1155/2008/784292 |
| ContentType | Journal Article |
| Copyright | 2021 Elsevier B.V. |
| Copyright_xml | – notice: 2021 Elsevier B.V. |
| DBID | AAYXX CITATION |
| DOI | 10.1016/j.sigpro.2021.108410 |
| DatabaseName | CrossRef |
| DatabaseTitle | CrossRef |
| DatabaseTitleList | |
| DeliveryMethod | fulltext_linktorsrc |
| Discipline | Engineering |
| EISSN | 1872-7557 |
| ExternalDocumentID | 10_1016_j_sigpro_2021_108410 S0165168421004473 |
| GroupedDBID | --K --M -~X .DC .~1 0R~ 123 1B1 1~. 1~5 4.4 457 4G. 53G 5VS 7-5 71M 8P~ 9JN AABNK AACTN AAEDT AAEDW AAIAV AAIKJ AAKOC AALRI AAOAW AAQFI AAQXK AAXUO AAYFN ABBOA ABFNM ABFRF ABMAC ABXDB ABYKQ ACDAQ ACGFO ACGFS ACNNM ACRLP ACZNC ADBBV ADEZE ADJOM ADMUD ADTZH AEBSH AECPX AEFWE AEKER AENEX AFKWA AFTJW AGHFR AGUBO AGYEJ AHHHB AHJVU AHZHX AIALX AIEXJ AIKHN AITUG AJBFU AJOXV ALMA_UNASSIGNED_HOLDINGS AMFUW AMRAJ AOUOD ASPBG AVWKF AXJTR AZFZN BJAXD BKOJK BLXMC CS3 DU5 EBS EFJIC EFLBG EJD EO8 EO9 EP2 EP3 F0J F5P FDB FEDTE FGOYB FIRID FNPLU FYGXN G-Q G8K GBLVA GBOLZ HLZ HVGLF HZ~ IHE J1W JJJVA KOM LG9 M41 MO0 N9A O-L O9- OAUVE OZT P-8 P-9 P2P PC. Q38 R2- RIG ROL RPZ SBC SDF SDG SDP SES SEW SPC SPCBC SST SSV SSZ T5K TAE TN5 WUQ XPP ZMT ~02 ~G- 9DU AATTM AAXKI AAYWO AAYXX ABDPE ABJNI ABWVN ACLOT ACRPL ACVFH ADCNI ADNMO AEIPS AEUPX AFJKZ AFPUW AGQPQ AIGII AIIUN AKBMS AKRWK AKYEP ANKPU APXCP CITATION EFKBS ~HD |
| ID | FETCH-LOGICAL-c306t-d73f1eb80b9f274f21e551cde7e5e2de731d79948e28472504f5ce5f44b1d9673 |
| ISICitedReferencesCount | 21 |
| ISICitedReferencesURI | http://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=Summon&SrcAuth=ProQuest&DestLinkType=CitingArticles&DestApp=WOS_CPL&KeyUT=000783881500006&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D |
| ISSN | 0165-1684 |
| IngestDate | Sat Nov 29 07:25:45 EST 2025 Tue Nov 18 22:08:23 EST 2025 Fri Feb 23 02:41:15 EST 2024 |
| IsPeerReviewed | true |
| IsScholarly | true |
| Keywords | Kernel adaptive filter (KAF) Kernel recursive minimum error entropy (KRMEE) Minimum error entropy (MEE) |
| Language | English |
| LinkModel | OpenURL |
| MergedId | FETCHMERGED-LOGICAL-c306t-d73f1eb80b9f274f21e551cde7e5e2de731d79948e28472504f5ce5f44b1d9673 |
| ParticipantIDs | crossref_citationtrail_10_1016_j_sigpro_2021_108410 crossref_primary_10_1016_j_sigpro_2021_108410 elsevier_sciencedirect_doi_10_1016_j_sigpro_2021_108410 |
| PublicationCentury | 2000 |
| PublicationDate | April 2022 2022-04-00 |
| PublicationDateYYYYMMDD | 2022-04-01 |
| PublicationDate_xml | – month: 04 year: 2022 text: April 2022 |
| PublicationDecade | 2020 |
| PublicationTitle | Signal processing |
| PublicationYear | 2022 |
| Publisher | Elsevier B.V |
| Publisher_xml | – name: Elsevier B.V |
| References | Wang, Qiao, Xue, Peng (bib0024) 2021; 178 Wang, Peng, Feng, Yang, Deng, Wang (bib0016) 2021; 179 Wang, Xue, Wang (bib0012) 2019; 160 Pogula, Kumar, Albu (bib0008) 2019; 38 Li, Xing, Chen (bib0015) 2020; 172 Huang, Tang, Zhang, Chen, Zhang, Song (bib0010) 2020; 8 Liu, Pokharel, Principe (bib0022) 2008; 56 Liu, Park, Principe (bib0011) 2009; 20 Wu, Shi, Zhang, Ma, Chen (bib0018) 2015; 117 Si, Wu, Li (bib0026) 2019; 29 Chen, Yuan, Zheng, Príncipe (bib0020) 2013; 121 Liu, Principe, Haykin (bib0021) 2011 Engel, Mannor, Meir (bib0006) 2004; 52 Dai, Wang, Wei, Xu (bib0007) 2019; 23 Zhao, Chen, Príncipe (bib0017) 2011 Cho, Park (bib0009) 2020; 68 Long, Cao, Cao, Wang, Jordan (bib0001) 2019; 41 Chen, Dang, Gu, Zheng, Príncipe (bib0014) 2020 Ogunfunmi, Safarian (bib0019) 2018 Wang, Wang, Duan, Wang (bib0023) 2017; 64 Chen, Wang, Zhao, Zheng, Príncipe (bib0013) 2015; 22 Liu, Principe (bib0005) 2008 Han, Yang, Yang, Ma (bib0002) 2018; 29 Talebi, Kanna, Mandic (bib0025) 2016; 2 Scholkopf, Smola (bib0003) 2002 Liu, Pokharel, Principe (bib0004) 2008; 56 Ogunfunmi (10.1016/j.sigpro.2021.108410_bib0019) 2018 Wu (10.1016/j.sigpro.2021.108410_bib0018) 2015; 117 Liu (10.1016/j.sigpro.2021.108410_bib0005) 2008 Liu (10.1016/j.sigpro.2021.108410_bib0011) 2009; 20 Chen (10.1016/j.sigpro.2021.108410_bib0014) 2020 Liu (10.1016/j.sigpro.2021.108410_bib0022) 2008; 56 Wang (10.1016/j.sigpro.2021.108410_bib0023) 2017; 64 Cho (10.1016/j.sigpro.2021.108410_bib0009) 2020; 68 Wang (10.1016/j.sigpro.2021.108410_bib0016) 2021; 179 Engel (10.1016/j.sigpro.2021.108410_bib0006) 2004; 52 Long (10.1016/j.sigpro.2021.108410_bib0001) 2019; 41 Dai (10.1016/j.sigpro.2021.108410_bib0007) 2019; 23 Chen (10.1016/j.sigpro.2021.108410_bib0013) 2015; 22 Talebi (10.1016/j.sigpro.2021.108410_bib0025) 2016; 2 Liu (10.1016/j.sigpro.2021.108410_bib0004) 2008; 56 Li (10.1016/j.sigpro.2021.108410_bib0015) 2020; 172 Liu (10.1016/j.sigpro.2021.108410_bib0021) 2011 Wang (10.1016/j.sigpro.2021.108410_bib0012) 2019; 160 Si (10.1016/j.sigpro.2021.108410_bib0026) 2019; 29 Pogula (10.1016/j.sigpro.2021.108410_bib0008) 2019; 38 Zhao (10.1016/j.sigpro.2021.108410_bib0017) 2011 Chen (10.1016/j.sigpro.2021.108410_bib0020) 2013; 121 Wang (10.1016/j.sigpro.2021.108410_bib0024) 2021; 178 Huang (10.1016/j.sigpro.2021.108410_bib0010) 2020; 8 Scholkopf (10.1016/j.sigpro.2021.108410_bib0003) 2002 Han (10.1016/j.sigpro.2021.108410_bib0002) 2018; 29 |
| References_xml | – volume: 64 start-page: 1237 year: 2017 end-page: 1241 ident: bib0023 article-title: Kernel Recursive Least Squares With Multiple Feedback and Its Convergence Analysis publication-title: IEEE Transactions on Circuits and Systems II: Express Briefs – volume: 23 start-page: 1369 year: 2019 end-page: 1372 ident: bib0007 article-title: Adaptive Detection with Constant False Alarm Ratio in a Non-Gaussian Noise Background publication-title: IEEE Commun. Lett. – volume: 117 start-page: 11 year: 2015 end-page: 16 ident: bib0018 article-title: Kernel Recursive Maximum Correntropy publication-title: Signal Processing – volume: 29 start-page: 486 year: 2018 end-page: 499 ident: bib0002 article-title: Localized Multiple Kernel Learning with Dynamical Clustering and Matrix Regularization publication-title: IEEE Trans Neural Netw Learn Syst – volume: 2 start-page: 477 year: 2016 end-page: 488 ident: bib0025 article-title: A Distributed Quaternion Kalman Filter with Applications to Smart Grid and Target Tracking publication-title: IEEE Transactions on Signal & Information Processing Over Networks – volume: 68 start-page: 5188 year: 2020 end-page: 5203 ident: bib0009 article-title: Stereo Acoustic Echo Cancellation Based on Maximum Likelihood Estimation with Inter-Channel-Correlated Echo Compensation publication-title: IEEE Trans. Signal Process. – year: 2008 ident: bib0005 article-title: Kernel Affine Projection Algorithm publication-title: EURASIP J. Adv. Signal Processing – year: 2002 ident: bib0003 article-title: Learning With Kernels, Support Vector Machines, Regularization, Optimization and Beyond – volume: 121 start-page: 160 year: 2013 end-page: 169 ident: bib0020 article-title: Kernel Minimum Error Entropy Algorithm publication-title: Neurocomputing – year: 2020 ident: bib0014 article-title: Minimum Error Entropy Kalman Filter publication-title: IEEE Transactions on Systems, Man, and Cybernetics: Systems – volume: 160 start-page: 247 year: 2019 end-page: 251 ident: bib0012 article-title: A Distributed Maximum Correntropy Kalman filter publication-title: Signal Processing – volume: 29 start-page: 4119 year: 2019 end-page: 4129 ident: bib0026 article-title: Different Decision-Making Responses Occupy Different Brain Networks for Information Processing: a Study Based on EEG and TMS publication-title: Cereb. Cortex – volume: 178 year: 2021 ident: bib0024 article-title: Quaternion Kernel Recursive Least-Squares Algorithm publication-title: Signal Processing – volume: 22 start-page: 1723 year: 2015 end-page: 1727 ident: bib0013 article-title: Convergence of a Fixed-Point Algorithm under Maximum Correntropy Criterion publication-title: IEEE Signal Process Lett – start-page: 4149 year: 2018 end-page: 4153 ident: bib0019 article-title: A Quaternion Kernel Minimum Error Entropy Adaptive Filter publication-title: IEEE International Conference on Acoustics, Speech and Signal Processing – volume: 56 start-page: 543 year: 2008 end-page: 554 ident: bib0004 article-title: The Kernel Least Mean Square Algorithm publication-title: IEEE Trans. Signal Process. – volume: 38 start-page: 5103 year: 2019 end-page: 5134 ident: bib0008 article-title: Robust Sparse Normalized LMAT Algorithms for Adaptive System Identification under Impulsive Noise Environments publication-title: Circuits, Systems, and Signal Processing – volume: 41 start-page: 3071 year: 2019 end-page: 3085 ident: bib0001 article-title: Transferable Representation Learning with Deep Adaptation Networks publication-title: IEEE Trans Pattern Anal Mach Intell – volume: 52 start-page: 2275 year: 2004 end-page: 2285 ident: bib0006 article-title: The Kernel Recursive Least-squares Algorithm publication-title: IEEE Trans. Signal Process. – year: 2011 ident: bib0021 article-title: Kernel Adaptive Filtering: a Comprehensive Introduction publication-title: JohnWiley&Sons – volume: 179 year: 2021 ident: bib0016 article-title: Adaptive Filtering Based on Recursive Minimum Error Entropy Criterion publication-title: Signal Processing – volume: 172 year: 2020 ident: bib0015 article-title: Adaptive Filtering with Quantized Minimum Error Entropy Criterion publication-title: Signal Processing – volume: 8 start-page: 118472 year: 2020 end-page: 118484 ident: bib0010 article-title: A Novel Nonlinear Algorithm for Non-Gaussian Noises and Measurement Information Loss in Underwater Navigation publication-title: IEEE Access – volume: 20 start-page: 1950 year: 2009 end-page: 1961 ident: bib0011 article-title: An Information Theoretic Approach of Designing Sparse Kernel Adaptive Filters publication-title: IEEE Trans. Neural Netw. – start-page: 2012 year: 2011 end-page: 2017 ident: bib0017 article-title: Kernel Adaptive Filtering with Maximum Correntropy Criterion publication-title: The 2011 International Joint Conference on Neural Networks – volume: 56 start-page: 543 year: 2008 end-page: 554 ident: bib0022 article-title: The Kernel Least-Mean-Square Algorithm publication-title: IEEE Trans. Signal Process. – volume: 160 start-page: 247 year: 2019 ident: 10.1016/j.sigpro.2021.108410_bib0012 article-title: A Distributed Maximum Correntropy Kalman filter publication-title: Signal Processing doi: 10.1016/j.sigpro.2019.02.030 – volume: 2 start-page: 477 issue: 4 year: 2016 ident: 10.1016/j.sigpro.2021.108410_bib0025 article-title: A Distributed Quaternion Kalman Filter with Applications to Smart Grid and Target Tracking publication-title: IEEE Transactions on Signal & Information Processing Over Networks – volume: 172 year: 2020 ident: 10.1016/j.sigpro.2021.108410_bib0015 article-title: Adaptive Filtering with Quantized Minimum Error Entropy Criterion publication-title: Signal Processing doi: 10.1016/j.sigpro.2020.107534 – volume: 38 start-page: 5103 year: 2019 ident: 10.1016/j.sigpro.2021.108410_bib0008 article-title: Robust Sparse Normalized LMAT Algorithms for Adaptive System Identification under Impulsive Noise Environments publication-title: Circuits, Systems, and Signal Processing doi: 10.1007/s00034-019-01111-3 – volume: 56 start-page: 543 issue: 2 year: 2008 ident: 10.1016/j.sigpro.2021.108410_bib0022 article-title: The Kernel Least-Mean-Square Algorithm publication-title: IEEE Trans. Signal Process. doi: 10.1109/TSP.2007.907881 – volume: 117 start-page: 11 year: 2015 ident: 10.1016/j.sigpro.2021.108410_bib0018 article-title: Kernel Recursive Maximum Correntropy publication-title: Signal Processing doi: 10.1016/j.sigpro.2015.04.024 – volume: 179 year: 2021 ident: 10.1016/j.sigpro.2021.108410_bib0016 article-title: Adaptive Filtering Based on Recursive Minimum Error Entropy Criterion publication-title: Signal Processing doi: 10.1016/j.sigpro.2020.107836 – year: 2011 ident: 10.1016/j.sigpro.2021.108410_bib0021 article-title: Kernel Adaptive Filtering: a Comprehensive Introduction publication-title: JohnWiley&Sons – start-page: 2012 year: 2011 ident: 10.1016/j.sigpro.2021.108410_bib0017 article-title: Kernel Adaptive Filtering with Maximum Correntropy Criterion – volume: 29 start-page: 486 issue: 2 year: 2018 ident: 10.1016/j.sigpro.2021.108410_bib0002 article-title: Localized Multiple Kernel Learning with Dynamical Clustering and Matrix Regularization publication-title: IEEE Trans Neural Netw Learn Syst doi: 10.1109/TNNLS.2016.2635151 – volume: 52 start-page: 2275 year: 2004 ident: 10.1016/j.sigpro.2021.108410_bib0006 article-title: The Kernel Recursive Least-squares Algorithm publication-title: IEEE Trans. Signal Process. doi: 10.1109/TSP.2004.830985 – volume: 29 start-page: 4119 issue: 10 year: 2019 ident: 10.1016/j.sigpro.2021.108410_bib0026 article-title: Different Decision-Making Responses Occupy Different Brain Networks for Information Processing: a Study Based on EEG and TMS publication-title: Cereb. Cortex doi: 10.1093/cercor/bhy294 – volume: 23 start-page: 1369 issue: 8 year: 2019 ident: 10.1016/j.sigpro.2021.108410_bib0007 article-title: Adaptive Detection with Constant False Alarm Ratio in a Non-Gaussian Noise Background publication-title: IEEE Commun. Lett. doi: 10.1109/LCOMM.2019.2918816 – volume: 178 year: 2021 ident: 10.1016/j.sigpro.2021.108410_bib0024 article-title: Quaternion Kernel Recursive Least-Squares Algorithm publication-title: Signal Processing doi: 10.1016/j.sigpro.2020.107810 – volume: 22 start-page: 1723 issue: 10 year: 2015 ident: 10.1016/j.sigpro.2021.108410_bib0013 article-title: Convergence of a Fixed-Point Algorithm under Maximum Correntropy Criterion publication-title: IEEE Signal Process Lett doi: 10.1109/LSP.2015.2428713 – volume: 68 start-page: 5188 year: 2020 ident: 10.1016/j.sigpro.2021.108410_bib0009 article-title: Stereo Acoustic Echo Cancellation Based on Maximum Likelihood Estimation with Inter-Channel-Correlated Echo Compensation publication-title: IEEE Trans. Signal Process. doi: 10.1109/TSP.2020.3021240 – year: 2020 ident: 10.1016/j.sigpro.2021.108410_bib0014 article-title: Minimum Error Entropy Kalman Filter publication-title: IEEE Transactions on Systems, Man, and Cybernetics: Systems – volume: 20 start-page: 1950 issue: 12 year: 2009 ident: 10.1016/j.sigpro.2021.108410_bib0011 article-title: An Information Theoretic Approach of Designing Sparse Kernel Adaptive Filters publication-title: IEEE Trans. Neural Netw. doi: 10.1109/TNN.2009.2033676 – volume: 64 start-page: 1237 year: 2017 ident: 10.1016/j.sigpro.2021.108410_bib0023 article-title: Kernel Recursive Least Squares With Multiple Feedback and Its Convergence Analysis – volume: 56 start-page: 543 year: 2008 ident: 10.1016/j.sigpro.2021.108410_bib0004 article-title: The Kernel Least Mean Square Algorithm publication-title: IEEE Trans. Signal Process. doi: 10.1109/TSP.2007.907881 – year: 2002 ident: 10.1016/j.sigpro.2021.108410_bib0003 – volume: 8 start-page: 118472 year: 2020 ident: 10.1016/j.sigpro.2021.108410_bib0010 article-title: A Novel Nonlinear Algorithm for Non-Gaussian Noises and Measurement Information Loss in Underwater Navigation publication-title: IEEE Access doi: 10.1109/ACCESS.2020.3004871 – start-page: 4149 year: 2018 ident: 10.1016/j.sigpro.2021.108410_bib0019 article-title: A Quaternion Kernel Minimum Error Entropy Adaptive Filter – volume: 41 start-page: 3071 issue: 12 year: 2019 ident: 10.1016/j.sigpro.2021.108410_bib0001 article-title: Transferable Representation Learning with Deep Adaptation Networks publication-title: IEEE Trans Pattern Anal Mach Intell doi: 10.1109/TPAMI.2018.2868685 – volume: 121 start-page: 160 year: 2013 ident: 10.1016/j.sigpro.2021.108410_bib0020 article-title: Kernel Minimum Error Entropy Algorithm publication-title: Neurocomputing doi: 10.1016/j.neucom.2013.04.037 – year: 2008 ident: 10.1016/j.sigpro.2021.108410_bib0005 article-title: Kernel Affine Projection Algorithm publication-title: EURASIP J. Adv. Signal Processing doi: 10.1155/2008/784292 |
| SSID | ssj0001360 |
| Score | 2.489585 |
| Snippet | The minimum error entropy, a currently useful alternative criterion, is widely adopted in the signal processing domain against impulsive noise. In this brief,... |
| SourceID | crossref elsevier |
| SourceType | Enrichment Source Index Database Publisher |
| StartPage | 108410 |
| SubjectTerms | Kernel adaptive filter (KAF) Kernel recursive minimum error entropy (KRMEE) Minimum error entropy (MEE) |
| Title | A kernel recursive minimum error entropy adaptive filter |
| URI | https://dx.doi.org/10.1016/j.sigpro.2021.108410 |
| Volume | 193 |
| WOSCitedRecordID | wos000783881500006&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D |
| hasFullText | 1 |
| inHoldings | 1 |
| isFullTextHit | |
| isPrint | |
| journalDatabaseRights | – providerCode: PRVESC databaseName: Elsevier SD Freedom Collection Journals 2021 customDbUrl: eissn: 1872-7557 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0001360 issn: 0165-1684 databaseCode: AIEXJ dateStart: 19950101 isFulltext: true titleUrlDefault: https://www.sciencedirect.com providerName: Elsevier |
| link | http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwtV1Lb9QwELZgywEOqLxEoUU5cFu5Wsd2bB9XVctDqEKiSAuXKGuPS_oIUXa3av997dhJFooKPXBJopHjOPkse2Yy8w1Cb0lqmRKgsGSUYZZJi6U2KS6ssFZyoBlvE4U_icNDOZupz7F-56ItJyCqSl5eqvq_Qu1kDmyfOnsHuPtOncBdO9Dd0cHujv8E_HR8Ck0Fnq9fe1fABYw9f8j56nwMTeMJvn1wen01LkxRB9bv8qwL0o1q6pfy2Gupdcgi6Ha31u8e1oZ3xSD7FmWzsrpaDb96Vq3JD2U_Q1rB9x_Q1qZY9zY4Q3UIUokOyIxjkoWybv0KqujaGkgmkoVQ1RvLc_AUnOwuymP3Bs46T8nu0PxXNuzfdqk-drALSzvJQy-57yUPvdxHG6ngSo7QxvTD_uxjvycT2uaL96PvkijbSL-bo_mzkrKmeBxtosfRYkimAekn6B5UT9GjNR7JZ0hOk4B50mOeRMyTFvMkYp50mCcB8-fo68H-0d57HEtiYO1suyU2gloCczmZK5sKZlMCTuXVBgRwSN2JEiOUYhK82uHp6SzXwC1jc2JUJugLNKp-VvASJZarzBhTcJholnGjNJWauFaSaSCQbiHafYNcR754X7bkLL8NgS2E-7vqwJfyl_ai-7x51PmCLpe7OXPrna_u-KTX6OEwobfRaNmsYAc90BfLctG8iRPmGkQjeQA |
| linkProvider | Elsevier |
| openUrl | ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=A+kernel+recursive+minimum+error+entropy+adaptive+filter&rft.jtitle=Signal+processing&rft.au=Wang%2C+Gang&rft.au=Yang%2C+Xinyue&rft.au=Wu%2C+Lei&rft.au=Fu%2C+Zhenting&rft.date=2022-04-01&rft.issn=0165-1684&rft.volume=193&rft.spage=108410&rft_id=info:doi/10.1016%2Fj.sigpro.2021.108410&rft.externalDBID=n%2Fa&rft.externalDocID=10_1016_j_sigpro_2021_108410 |
| thumbnail_l | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=0165-1684&client=summon |
| thumbnail_m | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=0165-1684&client=summon |
| thumbnail_s | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=0165-1684&client=summon |