{"id":"https://openalex.org/W2517792054","doi":"https://doi.org/10.1109/spawc.2016.7536848","title":"A semi-widely linear filtering algorithm for \u2102<sup>\u03b7</sup>-proper quaternion signals based on randomly modeled observations","display_name":"A semi-widely linear filtering algorithm for \u2102<sup>\u03b7</sup>-proper quaternion signals based on randomly modeled observations","publication_year":2016,"publication_date":"2016-07-01","ids":{"openalex":"https://openalex.org/W2517792054","doi":"https://doi.org/10.1109/spawc.2016.7536848","mag":"2517792054"},"language":"en","primary_location":{"id":"doi:10.1109/spawc.2016.7536848","is_oa":false,"landing_page_url":"https://doi.org/10.1109/spawc.2016.7536848","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE 17th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5087009747","display_name":"Jos\u00e9 D. Jim\u00e9nez-L\u00f3pez","orcid":"https://orcid.org/0000-0003-1263-5508"},"institutions":[{"id":"https://openalex.org/I191420491","display_name":"Universidad de Ja\u00e9n","ror":"https://ror.org/0122p5f64","country_code":"ES","type":"education","lineage":["https://openalex.org/I191420491"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Jose D. Jimenez Lopez","raw_affiliation_strings":["Department of Statistics and Operations Research, Universidad de Jaen, Jaen, Ja\u00c3\u00a9n, ES","Department of Statistics and Operations Research, Universidad de Jaen, Jaen, Ja\u00e9n, ES"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Statistics and Operations Research, Universidad de Jaen, Jaen, Ja\u00c3\u00a9n, ES","institution_ids":["https://openalex.org/I191420491"]},{"raw_affiliation_string":"Department of Statistics and Operations Research, Universidad de Jaen, Jaen, Ja\u00e9n, ES","institution_ids":["https://openalex.org/I191420491"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057000989","display_name":"Rosa M. Fern\u00e1ndez-Alcal\u00e1","orcid":"https://orcid.org/0000-0002-3329-6624"},"institutions":[{"id":"https://openalex.org/I191420491","display_name":"Universidad de Ja\u00e9n","ror":"https://ror.org/0122p5f64","country_code":"ES","type":"education","lineage":["https://openalex.org/I191420491"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Rosa M. Fernandez-Alcala","raw_affiliation_strings":["Department of Statistics and Operations Research, University of Ja\u00e9n, Ja\u00e9n, Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Statistics and Operations Research, University of Ja\u00e9n, Ja\u00e9n, Spain","institution_ids":["https://openalex.org/I191420491"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040088678","display_name":"Jes\u00fas Navarro-Moreno","orcid":"https://orcid.org/0000-0002-8417-8505"},"institutions":[{"id":"https://openalex.org/I191420491","display_name":"Universidad de Ja\u00e9n","ror":"https://ror.org/0122p5f64","country_code":"ES","type":"education","lineage":["https://openalex.org/I191420491"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Jesus Navarro-Moreno","raw_affiliation_strings":["Department of Statistics and Operations Research, University of Ja\u00e9n, Ja\u00e9n, Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Statistics and Operations Research, University of Ja\u00e9n, Ja\u00e9n, Spain","institution_ids":["https://openalex.org/I191420491"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5007153754","display_name":"Juan Carlos Ruiz-Molina","orcid":"https://orcid.org/0000-0002-3128-8030"},"institutions":[{"id":"https://openalex.org/I191420491","display_name":"Universidad de Ja\u00e9n","ror":"https://ror.org/0122p5f64","country_code":"ES","type":"education","lineage":["https://openalex.org/I191420491"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Juan C. Ruiz-Molina","raw_affiliation_strings":["Department of Statistics and Operations Research, University of Ja\u00e9n, Ja\u00e9n, Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Statistics and Operations Research, University of Ja\u00e9n, Ja\u00e9n, Spain","institution_ids":["https://openalex.org/I191420491"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I191420491"],"apc_list":null,"apc_paid":null,"fwci":0.1941,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.4854916,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10711","display_name":"Target Tracking and Data Fusion in Sensor Networks","score":0.9987000226974487,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10711","display_name":"Target Tracking and Data Fusion in Sensor Networks","score":0.9987000226974487,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.996999979019165,"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/T11325","display_name":"Inertial Sensor and Navigation","score":0.995199978351593,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/quaternion","display_name":"Quaternion","score":0.7575423717498779},{"id":"https://openalex.org/keywords/multiplicative-noise","display_name":"Multiplicative noise","score":0.6822556257247925},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.6742149591445923},{"id":"https://openalex.org/keywords/bernoullis-principle","display_name":"Bernoulli's principle","score":0.6669170260429382},{"id":"https://openalex.org/keywords/multiplicative-function","display_name":"Multiplicative function","score":0.631855845451355},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.5647212266921997},{"id":"https://openalex.org/keywords/signal-processing","display_name":"Signal processing","score":0.5613299012184143},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.54927659034729},{"id":"https://openalex.org/keywords/random-variable","display_name":"Random variable","score":0.49052661657333374},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.48981043696403503},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4499439299106598},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.4492166042327881},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4390111267566681},{"id":"https://openalex.org/keywords/linear-filter","display_name":"Linear filter","score":0.438879132270813},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.21433228254318237},{"id":"https://openalex.org/keywords/analog-signal","display_name":"Analog signal","score":0.20388701558113098},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.14028427004814148},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.11479461193084717},{"id":"https://openalex.org/keywords/signal-transfer-function","display_name":"Signal transfer function","score":0.09365937113761902},{"id":"https://openalex.org/keywords/digital-signal-processing","display_name":"Digital signal processing","score":0.08742591738700867},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.08586940169334412}],"concepts":[{"id":"https://openalex.org/C200127275","wikidata":"https://www.wikidata.org/wiki/Q173853","display_name":"Quaternion","level":2,"score":0.7575423717498779},{"id":"https://openalex.org/C18015164","wikidata":"https://www.wikidata.org/wiki/Q6935000","display_name":"Multiplicative noise","level":5,"score":0.6822556257247925},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.6742149591445923},{"id":"https://openalex.org/C152361515","wikidata":"https://www.wikidata.org/wiki/Q181328","display_name":"Bernoulli's principle","level":2,"score":0.6669170260429382},{"id":"https://openalex.org/C42747912","wikidata":"https://www.wikidata.org/wiki/Q1048447","display_name":"Multiplicative function","level":2,"score":0.631855845451355},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.5647212266921997},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.5613299012184143},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.54927659034729},{"id":"https://openalex.org/C122123141","wikidata":"https://www.wikidata.org/wiki/Q176623","display_name":"Random variable","level":2,"score":0.49052661657333374},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.48981043696403503},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4499439299106598},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.4492166042327881},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4390111267566681},{"id":"https://openalex.org/C139722471","wikidata":"https://www.wikidata.org/wiki/Q2619517","display_name":"Linear filter","level":3,"score":0.438879132270813},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.21433228254318237},{"id":"https://openalex.org/C13412647","wikidata":"https://www.wikidata.org/wiki/Q174948","display_name":"Analog signal","level":3,"score":0.20388701558113098},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.14028427004814148},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.11479461193084717},{"id":"https://openalex.org/C131021393","wikidata":"https://www.wikidata.org/wiki/Q7512759","display_name":"Signal transfer function","level":4,"score":0.09365937113761902},{"id":"https://openalex.org/C84462506","wikidata":"https://www.wikidata.org/wiki/Q173142","display_name":"Digital signal processing","level":2,"score":0.08742591738700867},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.08586940169334412},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","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},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/spawc.2016.7536848","is_oa":false,"landing_page_url":"https://doi.org/10.1109/spawc.2016.7536848","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE 17th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6200000047683716,"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W1490131134","https://openalex.org/W1527786550","https://openalex.org/W1967963650","https://openalex.org/W1972161577","https://openalex.org/W2043978450","https://openalex.org/W2052178830","https://openalex.org/W2058558325","https://openalex.org/W2062144489","https://openalex.org/W2065144261","https://openalex.org/W2067009792","https://openalex.org/W2069222481","https://openalex.org/W2084928760","https://openalex.org/W2091032340","https://openalex.org/W2091366315","https://openalex.org/W2101489562","https://openalex.org/W2114765937","https://openalex.org/W2125120409","https://openalex.org/W2161397505","https://openalex.org/W2165168261","https://openalex.org/W2169690868","https://openalex.org/W2170646498","https://openalex.org/W2215189097","https://openalex.org/W2285658840","https://openalex.org/W2476841360","https://openalex.org/W2525376544","https://openalex.org/W2962854822","https://openalex.org/W3100613910","https://openalex.org/W4300054450","https://openalex.org/W4300472792","https://openalex.org/W6641931946"],"related_works":["https://openalex.org/W3127350447","https://openalex.org/W3108700312","https://openalex.org/W2887325221","https://openalex.org/W2095059946","https://openalex.org/W2100121758","https://openalex.org/W3022718941","https://openalex.org/W4287812451","https://openalex.org/W1996414039","https://openalex.org/W2506602630","https://openalex.org/W3097284316"],"abstract_inverted_index":{"The":[0,57],"problem":[1],"of":[2,13,23,30,38,59],"estimating":[3],"a":[4,31,36,47,53,72],"quaternion":[5],"random":[6,41],"signal":[7,17,25],"is":[8,18,50,69],"addressed":[9],"under":[10],"the":[11,16,24,44,60,66],"condition":[12],"\u2102\u03b7-properness.":[14],"Assuming":[15],"not":[19],"always":[20],"accessible,":[21],"observations":[22],"are":[26],"modeled":[27],"by":[28,35],"means":[29],"multiplicative":[32],"noise":[33],"given":[34],"sequence":[37],"independent":[39],"Bernoulli":[40],"variables.":[42],"Using":[43],"innovation":[45],"method,":[46],"filtering":[48],"algorithm":[49],"developed":[51],"through":[52,71],"semi-widely":[54,62],"linear":[55,63],"processing.":[56],"superiority":[58],"proposed":[61],"filter":[64],"over":[65],"conventional":[67],"one":[68],"illustrated":[70],"simulation":[73],"example.":[74]},"counts_by_year":[{"year":2018,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
