Kernel Adaptive Filters With Feedback Based on Maximum Correntropy Article Swipe
Shiyuan Wang
,
Lujuan Dang
,
Wanli Wang
,
Guobing Qian
,
Chi K. Tse
·
YOU?
·
· 2018
· Open Access
·
· DOI: https://doi.org/10.1109/access.2018.2808218
YOU?
·
· 2018
· Open Access
·
· DOI: https://doi.org/10.1109/access.2018.2808218
This paper presents novel kernel adaptive filters with feedback, namely, kernel recursive maximum correntropy with multiple feedback (KRMC-MF) and its simplified version, a linear recurrent kernel online learning algorithm based on maximum correntropy criterion (LRKOL-MCC). In LRKOL-MCC and KRMC-MF, single output and multiple outputs based on single delay are utilized to construct their feedback structure, respectively. Compared with the minimum mean square error criterion, the maximum correntropy criterion (MCC) adopted by LRKOL-MCC and KRMC-MF captures higher order statistics of errors. The proposed filters are, therefore, robust against outliers. Therefore, the past information can be reused to improve filtering performance in terms of the steady-state mean square error. The convergence characteristics of the filter parameters in LRKOL-MCC and KRMC-MF are also derived. Simulations on chaotic time-series prediction and nonlinear regression illustrate the desirable accuracy and robustness of the proposed filters.
Related Topics
Concepts
Robustness (evolution)
Outlier
Kernel (algebra)
Adaptive filter
Mean squared error
Convergence (economics)
Computer science
Algorithm
Mathematics
Minimum mean square error
Control theory (sociology)
Artificial intelligence
Statistics
Biochemistry
Chemistry
Economic growth
Estimator
Combinatorics
Control (management)
Economics
Gene
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1109/access.2018.2808218
- OA Status
- gold
- Cited By
- 25
- References
- 48
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W2794403697
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W2794403697Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1109/access.2018.2808218Digital Object Identifier
- Title
-
Kernel Adaptive Filters With Feedback Based on Maximum CorrentropyWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2018Year of publication
- Publication date
-
2018-01-01Full publication date if available
- Authors
-
Shiyuan Wang, Lujuan Dang, Wanli Wang, Guobing Qian, Chi K. TseList of authors in order
- Landing page
-
https://doi.org/10.1109/access.2018.2808218Publisher landing page
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
-
https://doi.org/10.1109/access.2018.2808218Direct OA link when available
- Concepts
-
Robustness (evolution), Outlier, Kernel (algebra), Adaptive filter, Mean squared error, Convergence (economics), Computer science, Algorithm, Mathematics, Minimum mean square error, Control theory (sociology), Artificial intelligence, Statistics, Biochemistry, Chemistry, Economic growth, Estimator, Combinatorics, Control (management), Economics, GeneTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
25Total citation count in OpenAlex
- Citations by year (recent)
-
2024: 3, 2023: 1, 2021: 3, 2020: 7, 2019: 8Per-year citation counts (last 5 years)
- References (count)
-
48Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
Full payload
| id | https://openalex.org/W2794403697 |
|---|---|
| doi | https://doi.org/10.1109/access.2018.2808218 |
| ids.doi | https://doi.org/10.1109/access.2018.2808218 |
| ids.mag | 2794403697 |
| ids.openalex | https://openalex.org/W2794403697 |
| fwci | 5.08297807 |
| type | article |
| title | Kernel Adaptive Filters With Feedback Based on Maximum Correntropy |
| awards[0].id | https://openalex.org/G4701877596 |
| awards[0].funder_id | https://openalex.org/F4320335787 |
| awards[0].display_name | |
| awards[0].funder_award_id | XDJK2017D178 |
| awards[0].funder_display_name | Fundamental Research Funds for the Central Universities |
| awards[1].id | https://openalex.org/G5594423406 |
| awards[1].funder_id | https://openalex.org/F4320321001 |
| awards[1].display_name | |
| awards[1].funder_award_id | 61701419 |
| awards[1].funder_display_name | National Natural Science Foundation of China |
| awards[2].id | https://openalex.org/G2189274656 |
| awards[2].funder_id | https://openalex.org/F4320321001 |
| awards[2].display_name | |
| awards[2].funder_award_id | 61671389 |
| awards[2].funder_display_name | National Natural Science Foundation of China |
| awards[3].id | https://openalex.org/G5007818917 |
| awards[3].funder_id | https://openalex.org/F4320321543 |
| awards[3].display_name | |
| awards[3].funder_award_id | 2017M610583 |
| awards[3].funder_display_name | China Postdoctoral Science Foundation |
| awards[4].id | https://openalex.org/G6073840148 |
| awards[4].funder_id | https://openalex.org/F4320335787 |
| awards[4].display_name | |
| awards[4].funder_award_id | XDJK2017D177 |
| awards[4].funder_display_name | Fundamental Research Funds for the Central Universities |
| awards[5].id | https://openalex.org/G7227998432 |
| awards[5].funder_id | https://openalex.org/F4320321543 |
| awards[5].display_name | |
| awards[5].funder_award_id | 2016M590853 |
| awards[5].funder_display_name | China Postdoctoral Science Foundation |
| biblio.issue | |
| biblio.volume | 6 |
| biblio.last_page | 10552 |
| biblio.first_page | 10540 |
| topics[0].id | https://openalex.org/T11233 |
| topics[0].field.id | https://openalex.org/fields/22 |
| topics[0].field.display_name | Engineering |
| topics[0].score | 1.0 |
| topics[0].domain.id | https://openalex.org/domains/3 |
| topics[0].domain.display_name | Physical Sciences |
| topics[0].subfield.id | https://openalex.org/subfields/2206 |
| topics[0].subfield.display_name | Computational Mechanics |
| topics[0].display_name | Advanced Adaptive Filtering Techniques |
| topics[1].id | https://openalex.org/T10860 |
| topics[1].field.id | https://openalex.org/fields/17 |
| topics[1].field.display_name | Computer Science |
| topics[1].score | 0.9970999956130981 |
| topics[1].domain.id | https://openalex.org/domains/3 |
| topics[1].domain.display_name | Physical Sciences |
| topics[1].subfield.id | https://openalex.org/subfields/1711 |
| topics[1].subfield.display_name | Signal Processing |
| topics[1].display_name | Speech and Audio Processing |
| topics[2].id | https://openalex.org/T11447 |
| topics[2].field.id | https://openalex.org/fields/17 |
| topics[2].field.display_name | Computer Science |
| topics[2].score | 0.9969000220298767 |
| topics[2].domain.id | https://openalex.org/domains/3 |
| topics[2].domain.display_name | Physical Sciences |
| topics[2].subfield.id | https://openalex.org/subfields/1711 |
| topics[2].subfield.display_name | Signal Processing |
| topics[2].display_name | Blind Source Separation Techniques |
| funders[0].id | https://openalex.org/F4320321001 |
| funders[0].ror | https://ror.org/01h0zpd94 |
| funders[0].display_name | National Natural Science Foundation of China |
| funders[1].id | https://openalex.org/F4320321543 |
| funders[1].ror | https://ror.org/0426zh255 |
| funders[1].display_name | China Postdoctoral Science Foundation |
| funders[2].id | https://openalex.org/F4320335787 |
| funders[2].ror | |
| funders[2].display_name | Fundamental Research Funds for the Central Universities |
| is_xpac | False |
| apc_list.value | 1850 |
| apc_list.currency | USD |
| apc_list.value_usd | 1850 |
| apc_paid.value | 1850 |
| apc_paid.currency | USD |
| apc_paid.value_usd | 1850 |
| concepts[0].id | https://openalex.org/C63479239 |
| concepts[0].level | 3 |
| concepts[0].score | 0.6628416776657104 |
| concepts[0].wikidata | https://www.wikidata.org/wiki/Q7353546 |
| concepts[0].display_name | Robustness (evolution) |
| concepts[1].id | https://openalex.org/C79337645 |
| concepts[1].level | 2 |
| concepts[1].score | 0.6202696561813354 |
| concepts[1].wikidata | https://www.wikidata.org/wiki/Q779824 |
| concepts[1].display_name | Outlier |
| concepts[2].id | https://openalex.org/C74193536 |
| concepts[2].level | 2 |
| concepts[2].score | 0.5762919187545776 |
| concepts[2].wikidata | https://www.wikidata.org/wiki/Q574844 |
| concepts[2].display_name | Kernel (algebra) |
| concepts[3].id | https://openalex.org/C102248274 |
| concepts[3].level | 2 |
| concepts[3].score | 0.5745252966880798 |
| concepts[3].wikidata | https://www.wikidata.org/wiki/Q168388 |
| concepts[3].display_name | Adaptive filter |
| concepts[4].id | https://openalex.org/C139945424 |
| concepts[4].level | 2 |
| concepts[4].score | 0.5545053482055664 |
| concepts[4].wikidata | https://www.wikidata.org/wiki/Q1940696 |
| concepts[4].display_name | Mean squared error |
| concepts[5].id | https://openalex.org/C2777303404 |
| concepts[5].level | 2 |
| concepts[5].score | 0.5045143365859985 |
| concepts[5].wikidata | https://www.wikidata.org/wiki/Q759757 |
| concepts[5].display_name | Convergence (economics) |
| concepts[6].id | https://openalex.org/C41008148 |
| concepts[6].level | 0 |
| concepts[6].score | 0.4961124360561371 |
| concepts[6].wikidata | https://www.wikidata.org/wiki/Q21198 |
| concepts[6].display_name | Computer science |
| concepts[7].id | https://openalex.org/C11413529 |
| concepts[7].level | 1 |
| concepts[7].score | 0.4848369359970093 |
| concepts[7].wikidata | https://www.wikidata.org/wiki/Q8366 |
| concepts[7].display_name | Algorithm |
| concepts[8].id | https://openalex.org/C33923547 |
| concepts[8].level | 0 |
| concepts[8].score | 0.47323405742645264 |
| concepts[8].wikidata | https://www.wikidata.org/wiki/Q395 |
| concepts[8].display_name | Mathematics |
| concepts[9].id | https://openalex.org/C90652560 |
| concepts[9].level | 3 |
| concepts[9].score | 0.4540083110332489 |
| concepts[9].wikidata | https://www.wikidata.org/wiki/Q11091747 |
| concepts[9].display_name | Minimum mean square error |
| concepts[10].id | https://openalex.org/C47446073 |
| concepts[10].level | 3 |
| concepts[10].score | 0.3960987329483032 |
| concepts[10].wikidata | https://www.wikidata.org/wiki/Q5165890 |
| concepts[10].display_name | Control theory (sociology) |
| concepts[11].id | https://openalex.org/C154945302 |
| concepts[11].level | 1 |
| concepts[11].score | 0.28335344791412354 |
| concepts[11].wikidata | https://www.wikidata.org/wiki/Q11660 |
| concepts[11].display_name | Artificial intelligence |
| concepts[12].id | https://openalex.org/C105795698 |
| concepts[12].level | 1 |
| concepts[12].score | 0.19992661476135254 |
| concepts[12].wikidata | https://www.wikidata.org/wiki/Q12483 |
| concepts[12].display_name | Statistics |
| concepts[13].id | https://openalex.org/C55493867 |
| concepts[13].level | 1 |
| concepts[13].score | 0.0 |
| concepts[13].wikidata | https://www.wikidata.org/wiki/Q7094 |
| concepts[13].display_name | Biochemistry |
| concepts[14].id | https://openalex.org/C185592680 |
| concepts[14].level | 0 |
| concepts[14].score | 0.0 |
| concepts[14].wikidata | https://www.wikidata.org/wiki/Q2329 |
| concepts[14].display_name | Chemistry |
| concepts[15].id | https://openalex.org/C50522688 |
| concepts[15].level | 1 |
| concepts[15].score | 0.0 |
| concepts[15].wikidata | https://www.wikidata.org/wiki/Q189833 |
| concepts[15].display_name | Economic growth |
| concepts[16].id | https://openalex.org/C185429906 |
| concepts[16].level | 2 |
| concepts[16].score | 0.0 |
| concepts[16].wikidata | https://www.wikidata.org/wiki/Q1130160 |
| concepts[16].display_name | Estimator |
| concepts[17].id | https://openalex.org/C114614502 |
| concepts[17].level | 1 |
| concepts[17].score | 0.0 |
| concepts[17].wikidata | https://www.wikidata.org/wiki/Q76592 |
| concepts[17].display_name | Combinatorics |
| concepts[18].id | https://openalex.org/C2775924081 |
| concepts[18].level | 2 |
| concepts[18].score | 0.0 |
| concepts[18].wikidata | https://www.wikidata.org/wiki/Q55608371 |
| concepts[18].display_name | Control (management) |
| concepts[19].id | https://openalex.org/C162324750 |
| concepts[19].level | 0 |
| concepts[19].score | 0.0 |
| concepts[19].wikidata | https://www.wikidata.org/wiki/Q8134 |
| concepts[19].display_name | Economics |
| concepts[20].id | https://openalex.org/C104317684 |
| concepts[20].level | 2 |
| concepts[20].score | 0.0 |
| concepts[20].wikidata | https://www.wikidata.org/wiki/Q7187 |
| concepts[20].display_name | Gene |
| keywords[0].id | https://openalex.org/keywords/robustness |
| keywords[0].score | 0.6628416776657104 |
| keywords[0].display_name | Robustness (evolution) |
| keywords[1].id | https://openalex.org/keywords/outlier |
| keywords[1].score | 0.6202696561813354 |
| keywords[1].display_name | Outlier |
| keywords[2].id | https://openalex.org/keywords/kernel |
| keywords[2].score | 0.5762919187545776 |
| keywords[2].display_name | Kernel (algebra) |
| keywords[3].id | https://openalex.org/keywords/adaptive-filter |
| keywords[3].score | 0.5745252966880798 |
| keywords[3].display_name | Adaptive filter |
| keywords[4].id | https://openalex.org/keywords/mean-squared-error |
| keywords[4].score | 0.5545053482055664 |
| keywords[4].display_name | Mean squared error |
| keywords[5].id | https://openalex.org/keywords/convergence |
| keywords[5].score | 0.5045143365859985 |
| keywords[5].display_name | Convergence (economics) |
| keywords[6].id | https://openalex.org/keywords/computer-science |
| keywords[6].score | 0.4961124360561371 |
| keywords[6].display_name | Computer science |
| keywords[7].id | https://openalex.org/keywords/algorithm |
| keywords[7].score | 0.4848369359970093 |
| keywords[7].display_name | Algorithm |
| keywords[8].id | https://openalex.org/keywords/mathematics |
| keywords[8].score | 0.47323405742645264 |
| keywords[8].display_name | Mathematics |
| keywords[9].id | https://openalex.org/keywords/minimum-mean-square-error |
| keywords[9].score | 0.4540083110332489 |
| keywords[9].display_name | Minimum mean square error |
| keywords[10].id | https://openalex.org/keywords/control-theory |
| keywords[10].score | 0.3960987329483032 |
| keywords[10].display_name | Control theory (sociology) |
| keywords[11].id | https://openalex.org/keywords/artificial-intelligence |
| keywords[11].score | 0.28335344791412354 |
| keywords[11].display_name | Artificial intelligence |
| keywords[12].id | https://openalex.org/keywords/statistics |
| keywords[12].score | 0.19992661476135254 |
| keywords[12].display_name | Statistics |
| language | en |
| locations[0].id | doi:10.1109/access.2018.2808218 |
| locations[0].is_oa | True |
| locations[0].source.id | https://openalex.org/S2485537415 |
| locations[0].source.issn | 2169-3536 |
| locations[0].source.type | journal |
| locations[0].source.is_oa | True |
| locations[0].source.issn_l | 2169-3536 |
| locations[0].source.is_core | True |
| locations[0].source.is_in_doaj | True |
| locations[0].source.display_name | IEEE Access |
| locations[0].source.host_organization | https://openalex.org/P4310319808 |
| locations[0].source.host_organization_name | Institute of Electrical and Electronics Engineers |
| locations[0].source.host_organization_lineage | https://openalex.org/P4310319808 |
| locations[0].source.host_organization_lineage_names | Institute of Electrical and Electronics Engineers |
| locations[0].license | |
| locations[0].pdf_url | |
| locations[0].version | publishedVersion |
| locations[0].raw_type | journal-article |
| locations[0].license_id | |
| locations[0].is_accepted | True |
| locations[0].is_published | True |
| locations[0].raw_source_name | IEEE Access |
| locations[0].landing_page_url | https://doi.org/10.1109/access.2018.2808218 |
| locations[1].id | pmh:oai:doaj.org/article:5751cd9eb4e14107834ee836091e3196 |
| locations[1].is_oa | True |
| locations[1].source.id | https://openalex.org/S4306401280 |
| locations[1].source.issn | |
| locations[1].source.type | repository |
| locations[1].source.is_oa | False |
| locations[1].source.issn_l | |
| locations[1].source.is_core | False |
| locations[1].source.is_in_doaj | False |
| locations[1].source.display_name | DOAJ (DOAJ: Directory of Open Access Journals) |
| locations[1].source.host_organization | |
| locations[1].source.host_organization_name | |
| locations[1].license | cc-by-sa |
| locations[1].pdf_url | |
| locations[1].version | submittedVersion |
| locations[1].raw_type | article |
| locations[1].license_id | https://openalex.org/licenses/cc-by-sa |
| locations[1].is_accepted | False |
| locations[1].is_published | False |
| locations[1].raw_source_name | IEEE Access, Vol 6, Pp 10540-10552 (2018) |
| locations[1].landing_page_url | https://doaj.org/article/5751cd9eb4e14107834ee836091e3196 |
| locations[2].id | pmh:oai:ira.lib.polyu.edu.hk:10397/107280 |
| locations[2].is_oa | False |
| locations[2].source.id | https://openalex.org/S4306400205 |
| locations[2].source.issn | |
| locations[2].source.type | repository |
| locations[2].source.is_oa | False |
| locations[2].source.issn_l | |
| locations[2].source.is_core | False |
| locations[2].source.is_in_doaj | False |
| locations[2].source.display_name | PolyU Institutional Research Archive (Hong Kong Polytechnic University) |
| locations[2].source.host_organization | https://openalex.org/I14243506 |
| locations[2].source.host_organization_name | Hong Kong Polytechnic University |
| locations[2].source.host_organization_lineage | https://openalex.org/I14243506 |
| locations[2].license | |
| locations[2].pdf_url | |
| locations[2].version | submittedVersion |
| locations[2].raw_type | Journal/Magazine Article |
| locations[2].license_id | |
| locations[2].is_accepted | False |
| locations[2].is_published | False |
| locations[2].raw_source_name | |
| locations[2].landing_page_url | http://hdl.handle.net/10397/107280 |
| locations[3].id | pmh:oai:ira.lib.polyu.edu.hk:10397/77741 |
| locations[3].is_oa | False |
| locations[3].source.id | https://openalex.org/S4306400205 |
| locations[3].source.issn | |
| locations[3].source.type | repository |
| locations[3].source.is_oa | False |
| locations[3].source.issn_l | |
| locations[3].source.is_core | False |
| locations[3].source.is_in_doaj | False |
| locations[3].source.display_name | PolyU Institutional Research Archive (Hong Kong Polytechnic University) |
| locations[3].source.host_organization | https://openalex.org/I14243506 |
| locations[3].source.host_organization_name | Hong Kong Polytechnic University |
| locations[3].source.host_organization_lineage | https://openalex.org/I14243506 |
| locations[3].license | |
| locations[3].pdf_url | |
| locations[3].version | submittedVersion |
| locations[3].raw_type | Journal/Magazine Article |
| locations[3].license_id | |
| locations[3].is_accepted | False |
| locations[3].is_published | False |
| locations[3].raw_source_name | |
| locations[3].landing_page_url | http://hdl.handle.net/10397/77741 |
| indexed_in | crossref, doaj |
| authorships[0].author.id | https://openalex.org/A5100640301 |
| authorships[0].author.orcid | https://orcid.org/0000-0002-5028-5839 |
| authorships[0].author.display_name | Shiyuan Wang |
| authorships[0].countries | CN |
| authorships[0].affiliations[0].institution_ids | https://openalex.org/I158842170 |
| authorships[0].affiliations[0].raw_affiliation_string | Chongqing Key Laboratory of Nonlinear Circuits and Intelligent Information Processing, Chongqing, China |
| authorships[0].affiliations[1].institution_ids | https://openalex.org/I142108993 |
| authorships[0].affiliations[1].raw_affiliation_string | College of Electronic and Information Engineering, Southwest University, Chongqing, China |
| authorships[0].institutions[0].id | https://openalex.org/I158842170 |
| authorships[0].institutions[0].ror | https://ror.org/023rhb549 |
| authorships[0].institutions[0].type | education |
| authorships[0].institutions[0].lineage | https://openalex.org/I158842170 |
| authorships[0].institutions[0].country_code | CN |
| authorships[0].institutions[0].display_name | Chongqing University |
| authorships[0].institutions[1].id | https://openalex.org/I142108993 |
| authorships[0].institutions[1].ror | https://ror.org/01kj4z117 |
| authorships[0].institutions[1].type | education |
| authorships[0].institutions[1].lineage | https://openalex.org/I142108993 |
| authorships[0].institutions[1].country_code | CN |
| authorships[0].institutions[1].display_name | Southwest University |
| authorships[0].author_position | first |
| authorships[0].raw_author_name | Shiyuan Wang |
| authorships[0].is_corresponding | False |
| authorships[0].raw_affiliation_strings | Chongqing Key Laboratory of Nonlinear Circuits and Intelligent Information Processing, Chongqing, China, College of Electronic and Information Engineering, Southwest University, Chongqing, China |
| authorships[1].author.id | https://openalex.org/A5080402211 |
| authorships[1].author.orcid | https://orcid.org/0000-0002-8929-8127 |
| authorships[1].author.display_name | Lujuan Dang |
| authorships[1].countries | CN |
| authorships[1].affiliations[0].institution_ids | https://openalex.org/I142108993 |
| authorships[1].affiliations[0].raw_affiliation_string | College of Electronic and Information Engineering, Southwest University, Chongqing, China |
| authorships[1].affiliations[1].institution_ids | https://openalex.org/I158842170 |
| authorships[1].affiliations[1].raw_affiliation_string | Chongqing Key Laboratory of Nonlinear Circuits and Intelligent Information Processing, Chongqing, China |
| authorships[1].institutions[0].id | https://openalex.org/I158842170 |
| authorships[1].institutions[0].ror | https://ror.org/023rhb549 |
| authorships[1].institutions[0].type | education |
| authorships[1].institutions[0].lineage | https://openalex.org/I158842170 |
| authorships[1].institutions[0].country_code | CN |
| authorships[1].institutions[0].display_name | Chongqing University |
| authorships[1].institutions[1].id | https://openalex.org/I142108993 |
| authorships[1].institutions[1].ror | https://ror.org/01kj4z117 |
| authorships[1].institutions[1].type | education |
| authorships[1].institutions[1].lineage | https://openalex.org/I142108993 |
| authorships[1].institutions[1].country_code | CN |
| authorships[1].institutions[1].display_name | Southwest University |
| authorships[1].author_position | middle |
| authorships[1].raw_author_name | Lujuan Dang |
| authorships[1].is_corresponding | False |
| authorships[1].raw_affiliation_strings | Chongqing Key Laboratory of Nonlinear Circuits and Intelligent Information Processing, Chongqing, China, College of Electronic and Information Engineering, Southwest University, Chongqing, China |
| authorships[2].author.id | https://openalex.org/A5100739204 |
| authorships[2].author.orcid | |
| authorships[2].author.display_name | Wanli Wang |
| authorships[2].countries | CN |
| authorships[2].affiliations[0].institution_ids | https://openalex.org/I158842170 |
| authorships[2].affiliations[0].raw_affiliation_string | Chongqing Key Laboratory of Nonlinear Circuits and Intelligent Information Processing, Chongqing, China |
| authorships[2].affiliations[1].institution_ids | https://openalex.org/I142108993 |
| authorships[2].affiliations[1].raw_affiliation_string | College of Electronic and Information Engineering, Southwest University, Chongqing, China |
| authorships[2].institutions[0].id | https://openalex.org/I158842170 |
| authorships[2].institutions[0].ror | https://ror.org/023rhb549 |
| authorships[2].institutions[0].type | education |
| authorships[2].institutions[0].lineage | https://openalex.org/I158842170 |
| authorships[2].institutions[0].country_code | CN |
| authorships[2].institutions[0].display_name | Chongqing University |
| authorships[2].institutions[1].id | https://openalex.org/I142108993 |
| authorships[2].institutions[1].ror | https://ror.org/01kj4z117 |
| authorships[2].institutions[1].type | education |
| authorships[2].institutions[1].lineage | https://openalex.org/I142108993 |
| authorships[2].institutions[1].country_code | CN |
| authorships[2].institutions[1].display_name | Southwest University |
| authorships[2].author_position | middle |
| authorships[2].raw_author_name | Wanli Wang |
| authorships[2].is_corresponding | False |
| authorships[2].raw_affiliation_strings | Chongqing Key Laboratory of Nonlinear Circuits and Intelligent Information Processing, Chongqing, China, College of Electronic and Information Engineering, Southwest University, Chongqing, China |
| authorships[3].author.id | https://openalex.org/A5012795428 |
| authorships[3].author.orcid | https://orcid.org/0000-0003-0470-0154 |
| authorships[3].author.display_name | Guobing Qian |
| authorships[3].countries | CN |
| authorships[3].affiliations[0].institution_ids | https://openalex.org/I142108993 |
| authorships[3].affiliations[0].raw_affiliation_string | College of Electronic and Information Engineering, Southwest University, Chongqing, China |
| authorships[3].affiliations[1].institution_ids | https://openalex.org/I158842170 |
| authorships[3].affiliations[1].raw_affiliation_string | Chongqing Key Laboratory of Nonlinear Circuits and Intelligent Information Processing, Chongqing, China |
| authorships[3].institutions[0].id | https://openalex.org/I158842170 |
| authorships[3].institutions[0].ror | https://ror.org/023rhb549 |
| authorships[3].institutions[0].type | education |
| authorships[3].institutions[0].lineage | https://openalex.org/I158842170 |
| authorships[3].institutions[0].country_code | CN |
| authorships[3].institutions[0].display_name | Chongqing University |
| authorships[3].institutions[1].id | https://openalex.org/I142108993 |
| authorships[3].institutions[1].ror | https://ror.org/01kj4z117 |
| authorships[3].institutions[1].type | education |
| authorships[3].institutions[1].lineage | https://openalex.org/I142108993 |
| authorships[3].institutions[1].country_code | CN |
| authorships[3].institutions[1].display_name | Southwest University |
| authorships[3].author_position | middle |
| authorships[3].raw_author_name | Guobing Qian |
| authorships[3].is_corresponding | False |
| authorships[3].raw_affiliation_strings | Chongqing Key Laboratory of Nonlinear Circuits and Intelligent Information Processing, Chongqing, China, College of Electronic and Information Engineering, Southwest University, Chongqing, China |
| authorships[4].author.id | https://openalex.org/A5021923917 |
| authorships[4].author.orcid | https://orcid.org/0000-0002-0462-3999 |
| authorships[4].author.display_name | Chi K. Tse |
| authorships[4].countries | HK |
| authorships[4].affiliations[0].institution_ids | https://openalex.org/I14243506 |
| authorships[4].affiliations[0].raw_affiliation_string | Department of Electronic and Information Engineering, The Hong Kong Polytechnic University, Hong Kong |
| authorships[4].institutions[0].id | https://openalex.org/I14243506 |
| authorships[4].institutions[0].ror | https://ror.org/0030zas98 |
| authorships[4].institutions[0].type | education |
| authorships[4].institutions[0].lineage | https://openalex.org/I14243506 |
| authorships[4].institutions[0].country_code | HK |
| authorships[4].institutions[0].display_name | Hong Kong Polytechnic University |
| authorships[4].author_position | last |
| authorships[4].raw_author_name | Chi K. Tse |
| authorships[4].is_corresponding | False |
| authorships[4].raw_affiliation_strings | Department of Electronic and Information Engineering, The Hong Kong Polytechnic University, Hong Kong |
| has_content.pdf | False |
| has_content.grobid_xml | False |
| is_paratext | False |
| open_access.is_oa | True |
| open_access.oa_url | https://doi.org/10.1109/access.2018.2808218 |
| open_access.oa_status | gold |
| open_access.any_repository_has_fulltext | False |
| created_date | 2025-10-10T00:00:00 |
| display_name | Kernel Adaptive Filters With Feedback Based on Maximum Correntropy |
| has_fulltext | False |
| is_retracted | False |
| updated_date | 2025-11-06T03:46:38.306776 |
| primary_topic.id | https://openalex.org/T11233 |
| primary_topic.field.id | https://openalex.org/fields/22 |
| primary_topic.field.display_name | Engineering |
| primary_topic.score | 1.0 |
| primary_topic.domain.id | https://openalex.org/domains/3 |
| primary_topic.domain.display_name | Physical Sciences |
| primary_topic.subfield.id | https://openalex.org/subfields/2206 |
| primary_topic.subfield.display_name | Computational Mechanics |
| primary_topic.display_name | Advanced Adaptive Filtering Techniques |
| related_works | https://openalex.org/W3006513224, https://openalex.org/W2046456988, https://openalex.org/W2357409937, https://openalex.org/W2510582230, https://openalex.org/W2978674666, https://openalex.org/W2074430941, https://openalex.org/W2075897667, https://openalex.org/W2907746047, https://openalex.org/W3125536267, https://openalex.org/W2274645452 |
| cited_by_count | 25 |
| counts_by_year[0].year | 2024 |
| counts_by_year[0].cited_by_count | 3 |
| counts_by_year[1].year | 2023 |
| counts_by_year[1].cited_by_count | 1 |
| counts_by_year[2].year | 2021 |
| counts_by_year[2].cited_by_count | 3 |
| counts_by_year[3].year | 2020 |
| counts_by_year[3].cited_by_count | 7 |
| counts_by_year[4].year | 2019 |
| counts_by_year[4].cited_by_count | 8 |
| counts_by_year[5].year | 2018 |
| counts_by_year[5].cited_by_count | 3 |
| locations_count | 4 |
| best_oa_location.id | doi:10.1109/access.2018.2808218 |
| best_oa_location.is_oa | True |
| best_oa_location.source.id | https://openalex.org/S2485537415 |
| best_oa_location.source.issn | 2169-3536 |
| best_oa_location.source.type | journal |
| best_oa_location.source.is_oa | True |
| best_oa_location.source.issn_l | 2169-3536 |
| best_oa_location.source.is_core | True |
| best_oa_location.source.is_in_doaj | True |
| best_oa_location.source.display_name | IEEE Access |
| best_oa_location.source.host_organization | https://openalex.org/P4310319808 |
| best_oa_location.source.host_organization_name | Institute of Electrical and Electronics Engineers |
| best_oa_location.source.host_organization_lineage | https://openalex.org/P4310319808 |
| best_oa_location.source.host_organization_lineage_names | Institute of Electrical and Electronics Engineers |
| best_oa_location.license | |
| best_oa_location.pdf_url | |
| best_oa_location.version | publishedVersion |
| best_oa_location.raw_type | journal-article |
| best_oa_location.license_id | |
| best_oa_location.is_accepted | True |
| best_oa_location.is_published | True |
| best_oa_location.raw_source_name | IEEE Access |
| best_oa_location.landing_page_url | https://doi.org/10.1109/access.2018.2808218 |
| primary_location.id | doi:10.1109/access.2018.2808218 |
| primary_location.is_oa | True |
| primary_location.source.id | https://openalex.org/S2485537415 |
| primary_location.source.issn | 2169-3536 |
| primary_location.source.type | journal |
| primary_location.source.is_oa | True |
| primary_location.source.issn_l | 2169-3536 |
| primary_location.source.is_core | True |
| primary_location.source.is_in_doaj | True |
| primary_location.source.display_name | IEEE Access |
| primary_location.source.host_organization | https://openalex.org/P4310319808 |
| primary_location.source.host_organization_name | Institute of Electrical and Electronics Engineers |
| primary_location.source.host_organization_lineage | https://openalex.org/P4310319808 |
| primary_location.source.host_organization_lineage_names | Institute of Electrical and Electronics Engineers |
| primary_location.license | |
| primary_location.pdf_url | |
| primary_location.version | publishedVersion |
| primary_location.raw_type | journal-article |
| primary_location.license_id | |
| primary_location.is_accepted | True |
| primary_location.is_published | True |
| primary_location.raw_source_name | IEEE Access |
| primary_location.landing_page_url | https://doi.org/10.1109/access.2018.2808218 |
| publication_date | 2018-01-01 |
| publication_year | 2018 |
| referenced_works | https://openalex.org/W1758799351, https://openalex.org/W1978062073, https://openalex.org/W2109857912, https://openalex.org/W6639612093, https://openalex.org/W1985819320, https://openalex.org/W850051531, https://openalex.org/W2050849575, https://openalex.org/W2499526870, https://openalex.org/W2010824005, https://openalex.org/W2121492054, https://openalex.org/W2031863147, https://openalex.org/W2037116712, https://openalex.org/W2001148506, https://openalex.org/W2189623837, https://openalex.org/W2576230853, https://openalex.org/W2116119284, https://openalex.org/W2114865067, https://openalex.org/W2481926318, https://openalex.org/W2071820974, https://openalex.org/W2011197824, https://openalex.org/W2050511159, https://openalex.org/W1988001416, https://openalex.org/W2394562819, https://openalex.org/W2053606008, https://openalex.org/W2588821529, https://openalex.org/W2038619475, https://openalex.org/W1986580492, https://openalex.org/W2167932108, https://openalex.org/W1988130470, https://openalex.org/W2153290280, https://openalex.org/W59495185, https://openalex.org/W1996124770, https://openalex.org/W2560865684, https://openalex.org/W2164089768, https://openalex.org/W2598116903, https://openalex.org/W2556247010, https://openalex.org/W2553647727, https://openalex.org/W1482673845, https://openalex.org/W2154558852, https://openalex.org/W2500372537, https://openalex.org/W4240661136, https://openalex.org/W1701760339, https://openalex.org/W1980287119, https://openalex.org/W1903303072, https://openalex.org/W2626864600, https://openalex.org/W2160369869, https://openalex.org/W1819447595, https://openalex.org/W565868953 |
| referenced_works_count | 48 |
| abstract_inverted_index.a | 22 |
| abstract_inverted_index.In | 35 |
| abstract_inverted_index.be | 93 |
| abstract_inverted_index.by | 70 |
| abstract_inverted_index.in | 99, 114 |
| abstract_inverted_index.of | 78, 101, 110, 135 |
| abstract_inverted_index.on | 30, 45, 122 |
| abstract_inverted_index.to | 50, 95 |
| abstract_inverted_index.The | 80, 107 |
| abstract_inverted_index.and | 18, 37, 41, 72, 116, 126, 133 |
| abstract_inverted_index.are | 48, 118 |
| abstract_inverted_index.can | 92 |
| abstract_inverted_index.its | 19 |
| abstract_inverted_index.the | 58, 64, 89, 102, 111, 130, 136 |
| abstract_inverted_index.This | 0 |
| abstract_inverted_index.also | 119 |
| abstract_inverted_index.are, | 83 |
| abstract_inverted_index.mean | 60, 104 |
| abstract_inverted_index.past | 90 |
| abstract_inverted_index.with | 7, 14, 57 |
| abstract_inverted_index.(MCC) | 68 |
| abstract_inverted_index.based | 29, 44 |
| abstract_inverted_index.delay | 47 |
| abstract_inverted_index.error | 62 |
| abstract_inverted_index.novel | 3 |
| abstract_inverted_index.order | 76 |
| abstract_inverted_index.paper | 1 |
| abstract_inverted_index.terms | 100 |
| abstract_inverted_index.their | 52 |
| abstract_inverted_index.error. | 106 |
| abstract_inverted_index.filter | 112 |
| abstract_inverted_index.higher | 75 |
| abstract_inverted_index.kernel | 4, 10, 25 |
| abstract_inverted_index.linear | 23 |
| abstract_inverted_index.online | 26 |
| abstract_inverted_index.output | 40 |
| abstract_inverted_index.reused | 94 |
| abstract_inverted_index.robust | 85 |
| abstract_inverted_index.single | 39, 46 |
| abstract_inverted_index.square | 61, 105 |
| abstract_inverted_index.KRMC-MF | 73, 117 |
| abstract_inverted_index.adopted | 69 |
| abstract_inverted_index.against | 86 |
| abstract_inverted_index.chaotic | 123 |
| abstract_inverted_index.errors. | 79 |
| abstract_inverted_index.filters | 6, 82 |
| abstract_inverted_index.improve | 96 |
| abstract_inverted_index.maximum | 12, 31, 65 |
| abstract_inverted_index.minimum | 59 |
| abstract_inverted_index.namely, | 9 |
| abstract_inverted_index.outputs | 43 |
| abstract_inverted_index.Compared | 56 |
| abstract_inverted_index.KRMC-MF, | 38 |
| abstract_inverted_index.accuracy | 132 |
| abstract_inverted_index.adaptive | 5 |
| abstract_inverted_index.captures | 74 |
| abstract_inverted_index.derived. | 120 |
| abstract_inverted_index.feedback | 16, 53 |
| abstract_inverted_index.filters. | 138 |
| abstract_inverted_index.learning | 27 |
| abstract_inverted_index.multiple | 15, 42 |
| abstract_inverted_index.presents | 2 |
| abstract_inverted_index.proposed | 81, 137 |
| abstract_inverted_index.utilized | 49 |
| abstract_inverted_index.version, | 21 |
| abstract_inverted_index.(KRMC-MF) | 17 |
| abstract_inverted_index.LRKOL-MCC | 36, 71, 115 |
| abstract_inverted_index.algorithm | 28 |
| abstract_inverted_index.construct | 51 |
| abstract_inverted_index.criterion | 33, 67 |
| abstract_inverted_index.desirable | 131 |
| abstract_inverted_index.feedback, | 8 |
| abstract_inverted_index.filtering | 97 |
| abstract_inverted_index.nonlinear | 127 |
| abstract_inverted_index.outliers. | 87 |
| abstract_inverted_index.recurrent | 24 |
| abstract_inverted_index.recursive | 11 |
| abstract_inverted_index.Therefore, | 88 |
| abstract_inverted_index.criterion, | 63 |
| abstract_inverted_index.illustrate | 129 |
| abstract_inverted_index.parameters | 113 |
| abstract_inverted_index.prediction | 125 |
| abstract_inverted_index.regression | 128 |
| abstract_inverted_index.robustness | 134 |
| abstract_inverted_index.simplified | 20 |
| abstract_inverted_index.statistics | 77 |
| abstract_inverted_index.structure, | 54 |
| abstract_inverted_index.therefore, | 84 |
| abstract_inverted_index.Simulations | 121 |
| abstract_inverted_index.convergence | 108 |
| abstract_inverted_index.correntropy | 13, 32, 66 |
| abstract_inverted_index.information | 91 |
| abstract_inverted_index.performance | 98 |
| abstract_inverted_index.time-series | 124 |
| abstract_inverted_index.(LRKOL-MCC). | 34 |
| abstract_inverted_index.steady-state | 103 |
| abstract_inverted_index.respectively. | 55 |
| abstract_inverted_index.characteristics | 109 |
| cited_by_percentile_year.max | 99 |
| cited_by_percentile_year.min | 89 |
| countries_distinct_count | 2 |
| institutions_distinct_count | 5 |
| citation_normalized_percentile.value | 0.95326348 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | True |