{"id":"https://openalex.org/W2992645723","doi":"https://doi.org/10.1109/tcsii.2019.2957817","title":"Complex-Valued Adaptive Filtering Based on the Random Fourier Features Method","display_name":"Complex-Valued Adaptive Filtering Based on the Random Fourier Features Method","publication_year":2019,"publication_date":"2019-12-05","ids":{"openalex":"https://openalex.org/W2992645723","doi":"https://doi.org/10.1109/tcsii.2019.2957817","mag":"2992645723"},"language":"en","primary_location":{"id":"doi:10.1109/tcsii.2019.2957817","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsii.2019.2957817","pdf_url":null,"source":{"id":"https://openalex.org/S93916849","display_name":"IEEE Transactions on Circuits & Systems II Express Briefs","issn_l":"1549-7747","issn":["1549-7747","1558-3791"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Circuits and Systems II: Express Briefs","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5048195316","display_name":"Kui Xiong","orcid":"https://orcid.org/0000-0002-7810-3865"},"institutions":[{"id":"https://openalex.org/I142108993","display_name":"Southwest University","ror":"https://ror.org/01kj4z117","country_code":"CN","type":"education","lineage":["https://openalex.org/I142108993"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Kui Xiong","raw_affiliation_strings":["College of Electronic and Information Engineering, Chongqing Key Laboratory of Nonlinear Circuits and Intelligent Information Processing, Southwest University, Chongqing, China"],"affiliations":[{"raw_affiliation_string":"College of Electronic and Information Engineering, Chongqing Key Laboratory of Nonlinear Circuits and Intelligent Information Processing, Southwest University, Chongqing, China","institution_ids":["https://openalex.org/I142108993"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102788973","display_name":"Yu Zhang","orcid":"https://orcid.org/0000-0002-4080-1393"},"institutions":[{"id":"https://openalex.org/I142108993","display_name":"Southwest University","ror":"https://ror.org/01kj4z117","country_code":"CN","type":"education","lineage":["https://openalex.org/I142108993"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yu Zhang","raw_affiliation_strings":["Faculty of Computer and Information Science, Southwest University, Chongqing, China"],"affiliations":[{"raw_affiliation_string":"Faculty of Computer and Information Science, Southwest University, Chongqing, China","institution_ids":["https://openalex.org/I142108993"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100640301","display_name":"Shiyuan Wang","orcid":"https://orcid.org/0000-0002-5028-5839"},"institutions":[{"id":"https://openalex.org/I142108993","display_name":"Southwest University","ror":"https://ror.org/01kj4z117","country_code":"CN","type":"education","lineage":["https://openalex.org/I142108993"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shiyuan Wang","raw_affiliation_strings":["College of Electronic and Information Engineering, Chongqing Key Laboratory of Nonlinear Circuits and Intelligent Information Processing, Southwest University, Chongqing, China"],"affiliations":[{"raw_affiliation_string":"College of Electronic and Information Engineering, Chongqing Key Laboratory of Nonlinear Circuits and Intelligent Information Processing, Southwest University, Chongqing, China","institution_ids":["https://openalex.org/I142108993"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5048195316"],"corresponding_institution_ids":["https://openalex.org/I142108993"],"apc_list":null,"apc_paid":null,"fwci":1.7025,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":{"value":0.83762407,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":"67","issue":"10","first_page":"2284","last_page":"2288"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11233","display_name":"Advanced Adaptive Filtering Techniques","score":0.9991000294685364,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11233","display_name":"Advanced Adaptive Filtering Techniques","score":0.9991000294685364,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9973999857902527,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10860","display_name":"Speech and Audio Processing","score":0.9894000291824341,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/reproducing-kernel-hilbert-space","display_name":"Reproducing kernel Hilbert space","score":0.6697334051132202},{"id":"https://openalex.org/keywords/complex-normal-distribution","display_name":"Complex normal distribution","score":0.5956956148147583},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5721882581710815},{"id":"https://openalex.org/keywords/cauchy-distribution","display_name":"Cauchy distribution","score":0.5454320907592773},{"id":"https://openalex.org/keywords/fourier-transform","display_name":"Fourier transform","score":0.5421562790870667},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.5109462141990662},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.45083677768707275},{"id":"https://openalex.org/keywords/kernel-adaptive-filter","display_name":"Kernel adaptive filter","score":0.4270254373550415},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.4214501976966858},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.41694432497024536},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.36159875988960266},{"id":"https://openalex.org/keywords/hilbert-space","display_name":"Hilbert space","score":0.3244452476501465},{"id":"https://openalex.org/keywords/filter-design","display_name":"Filter design","score":0.16105329990386963},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.13842415809631348},{"id":"https://openalex.org/keywords/discrete-mathematics","display_name":"Discrete mathematics","score":0.10511153936386108}],"concepts":[{"id":"https://openalex.org/C80884492","wikidata":"https://www.wikidata.org/wiki/Q3345678","display_name":"Reproducing kernel Hilbert space","level":3,"score":0.6697334051132202},{"id":"https://openalex.org/C201080289","wikidata":"https://www.wikidata.org/wiki/Q5156587","display_name":"Complex normal distribution","level":3,"score":0.5956956148147583},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5721882581710815},{"id":"https://openalex.org/C49344536","wikidata":"https://www.wikidata.org/wiki/Q726441","display_name":"Cauchy distribution","level":2,"score":0.5454320907592773},{"id":"https://openalex.org/C102519508","wikidata":"https://www.wikidata.org/wiki/Q6520159","display_name":"Fourier transform","level":2,"score":0.5421562790870667},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.5109462141990662},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.45083677768707275},{"id":"https://openalex.org/C13107197","wikidata":"https://www.wikidata.org/wiki/Q6394192","display_name":"Kernel adaptive filter","level":4,"score":0.4270254373550415},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.4214501976966858},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.41694432497024536},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.36159875988960266},{"id":"https://openalex.org/C62799726","wikidata":"https://www.wikidata.org/wiki/Q190056","display_name":"Hilbert space","level":2,"score":0.3244452476501465},{"id":"https://openalex.org/C22597639","wikidata":"https://www.wikidata.org/wiki/Q5449227","display_name":"Filter design","level":3,"score":0.16105329990386963},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.13842415809631348},{"id":"https://openalex.org/C118615104","wikidata":"https://www.wikidata.org/wiki/Q121416","display_name":"Discrete mathematics","level":1,"score":0.10511153936386108},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tcsii.2019.2957817","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsii.2019.2957817","pdf_url":null,"source":{"id":"https://openalex.org/S93916849","display_name":"IEEE Transactions on Circuits & Systems II Express Briefs","issn_l":"1549-7747","issn":["1549-7747","1558-3791"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Circuits and Systems II: Express Briefs","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2189274656","display_name":null,"funder_award_id":"61671389","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7279913291","display_name":null,"funder_award_id":"XDJK2019B011","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W292716351","https://openalex.org/W639989723","https://openalex.org/W1492221128","https://openalex.org/W1513230388","https://openalex.org/W1819447595","https://openalex.org/W1982175152","https://openalex.org/W2012915481","https://openalex.org/W2034358398","https://openalex.org/W2047515252","https://openalex.org/W2065234731","https://openalex.org/W2071820974","https://openalex.org/W2075110641","https://openalex.org/W2111052925","https://openalex.org/W2114865067","https://openalex.org/W2119099945","https://openalex.org/W2119605738","https://openalex.org/W2126709692","https://openalex.org/W2127805491","https://openalex.org/W2135160607","https://openalex.org/W2144902422","https://openalex.org/W2153290280","https://openalex.org/W2164089768","https://openalex.org/W2481926318","https://openalex.org/W2500157231","https://openalex.org/W2510597985","https://openalex.org/W2543913312","https://openalex.org/W2558844075","https://openalex.org/W2903254834","https://openalex.org/W2904462735","https://openalex.org/W2969412379","https://openalex.org/W4211251910","https://openalex.org/W4292692317","https://openalex.org/W6681302627"],"related_works":["https://openalex.org/W2018264451","https://openalex.org/W2591253179","https://openalex.org/W4287671600","https://openalex.org/W4212827636","https://openalex.org/W2141366819","https://openalex.org/W4322716129","https://openalex.org/W3004408979","https://openalex.org/W1159295707","https://openalex.org/W1597818126","https://openalex.org/W4387349426"],"abstract_inverted_index":{"The":[0,113],"complex":[1,8,18,37,71,83,91,96],"kernel":[2,10],"adaptive":[3,20],"filters":[4],"(CKAFs)":[5],"developed":[6],"in":[7,24,135],"reproducing":[9],"Hilbert":[11],"space":[12,67,75,126],"(RKHS)":[13],"improve":[14],"the":[15,47,52,60,64,69,90,104,109,123,136,142],"performance":[16],"of":[17,27,54,106,128,144],"linear":[19,118],"filters,":[21],"but":[22],"result":[23],"large":[25],"burdens":[26],"computation":[28],"and":[29,57,89,108,125],"memory.":[30],"To":[31,77],"address":[32],"these":[33],"issues,":[34],"a":[35,82,117],"novel":[36],"random":[38,72,92],"Fourier":[39,73,93],"features":[40,74,94],"mapping":[41,49],"(CRFFM)":[42],"is":[43,87,100],"proposed":[44,102,114],"to":[45],"approximate":[46],"kernel-induced":[48],"by":[50,103],"applying":[51],"complexification":[53],"real":[55],"RKHSs,":[56],"thus":[58],"projects":[59],"complex-valued":[61,79,137],"data":[62,66],"from":[63],"original":[65],"into":[68],"fixed-dimensional":[70],"(RFFS).":[76],"combat":[78],"non-Gaussian":[80],"noises,":[81],"Cauchy":[84,97],"loss":[85],"function":[86],"presented,":[88],"recursive":[95,111],"(CRFFRCC)":[98],"algorithm":[99],"therefore":[101],"combination":[105],"CRFFM":[107],"stochastic":[110],"method.":[112],"CRFFRCC":[115],"with":[116],"filter":[119],"structure":[120],"can":[121],"reduce":[122],"computational":[124],"complexities":[127],"CKAFs,":[129],"significantly.":[130],"Monte":[131],"Carlo":[132],"simulations":[133],"conducted":[134],"nonlinear":[138],"channel":[139],"equalization":[140],"validate":[141],"superiorities":[143],"CRFFRCC.":[145]},"counts_by_year":[{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
