{"id":"https://openalex.org/W1999766892","doi":"https://doi.org/10.1155/2007/36525","title":"Fixed-Point Algorithms for the Blind Separation of Arbitrary Complex-Valued Non-Gaussian Signal Mixtures","display_name":"Fixed-Point Algorithms for the Blind Separation of Arbitrary Complex-Valued Non-Gaussian Signal Mixtures","publication_year":2007,"publication_date":"2007-01-15","ids":{"openalex":"https://openalex.org/W1999766892","doi":"https://doi.org/10.1155/2007/36525","mag":"1999766892"},"language":"en","primary_location":{"id":"doi:10.1155/2007/36525","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2007/36525","pdf_url":"https://asp-eurasipjournals.springeropen.com/counter/pdf/10.1155/2007/36525","source":{"id":"https://openalex.org/S35920007","display_name":"EURASIP Journal on Advances in Signal Processing","issn_l":"1687-6172","issn":["1687-6172","1687-6180"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EURASIP Journal on Advances in Signal Processing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://asp-eurasipjournals.springeropen.com/counter/pdf/10.1155/2007/36525","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5052139937","display_name":"S.C. Douglas","orcid":"https://orcid.org/0009-0002-5983-0861"},"institutions":[{"id":"https://openalex.org/I178169726","display_name":"Southern Methodist University","ror":"https://ror.org/042tdr378","country_code":"US","type":"education","lineage":["https://openalex.org/I178169726"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Scott C. Douglas","raw_affiliation_strings":["Department of Electrical Engineering, School of Engineering, Southern Methodist University, P.O. Box 750338, Dallas, newline TX 75275, USA","Department of Electrical Engineering, School of Engineering, Southern Methodist University, Dallas, TX#TAB#"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, School of Engineering, Southern Methodist University, P.O. Box 750338, Dallas, newline TX 75275, USA","institution_ids":["https://openalex.org/I178169726"]},{"raw_affiliation_string":"Department of Electrical Engineering, School of Engineering, Southern Methodist University, Dallas, TX#TAB#","institution_ids":["https://openalex.org/I178169726"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5052139937"],"corresponding_institution_ids":["https://openalex.org/I178169726"],"apc_list":{"value":1140,"currency":"GBP","value_usd":1398},"apc_paid":{"value":1140,"currency":"GBP","value_usd":1398},"fwci":7.4485,"has_fulltext":true,"cited_by_count":83,"citation_normalized_percentile":{"value":0.97646625,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"2007","issue":"1","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation Techniques","score":1.0,"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"}},"topics":[{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation Techniques","score":1.0,"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"}},{"id":"https://openalex.org/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.9782000184059143,"subfield":{"id":"https://openalex.org/subfields/1602","display_name":"Analytical Chemistry"},"field":{"id":"https://openalex.org/fields/16","display_name":"Chemistry"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10860","display_name":"Speech and Audio Processing","score":0.9556000232696533,"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/fastica","display_name":"FastICA","score":0.7580844759941101},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.7139632105827332},{"id":"https://openalex.org/keywords/blind-signal-separation","display_name":"Blind signal separation","score":0.704714298248291},{"id":"https://openalex.org/keywords/independent-component-analysis","display_name":"Independent component analysis","score":0.6831825375556946},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.626099169254303},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.6121855974197388},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5587067604064941},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.5484026074409485},{"id":"https://openalex.org/keywords/kurtosis","display_name":"Kurtosis","score":0.4948524832725525},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4063640534877777},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.258816123008728},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.10958826541900635},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.08925577998161316}],"concepts":[{"id":"https://openalex.org/C157709420","wikidata":"https://www.wikidata.org/wiki/Q3739974","display_name":"FastICA","level":4,"score":0.7580844759941101},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.7139632105827332},{"id":"https://openalex.org/C120317606","wikidata":"https://www.wikidata.org/wiki/Q17105967","display_name":"Blind signal separation","level":3,"score":0.704714298248291},{"id":"https://openalex.org/C51432778","wikidata":"https://www.wikidata.org/wiki/Q1259145","display_name":"Independent component analysis","level":2,"score":0.6831825375556946},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.626099169254303},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.6121855974197388},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5587067604064941},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.5484026074409485},{"id":"https://openalex.org/C166963901","wikidata":"https://www.wikidata.org/wiki/Q287251","display_name":"Kurtosis","level":2,"score":0.4948524832725525},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4063640534877777},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.258816123008728},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.10958826541900635},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.08925577998161316},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1155/2007/36525","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2007/36525","pdf_url":"https://asp-eurasipjournals.springeropen.com/counter/pdf/10.1155/2007/36525","source":{"id":"https://openalex.org/S35920007","display_name":"EURASIP Journal on Advances in Signal Processing","issn_l":"1687-6172","issn":["1687-6172","1687-6180"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EURASIP Journal on Advances in Signal Processing","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:c14cfeea5d93430596ae0c06b1a3f770","is_oa":true,"landing_page_url":"https://doaj.org/article/c14cfeea5d93430596ae0c06b1a3f770","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"EURASIP Journal on Advances in Signal Processing, Vol 2007 (2007)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1155/2007/36525","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2007/36525","pdf_url":"https://asp-eurasipjournals.springeropen.com/counter/pdf/10.1155/2007/36525","source":{"id":"https://openalex.org/S35920007","display_name":"EURASIP Journal on Advances in Signal Processing","issn_l":"1687-6172","issn":["1687-6172","1687-6180"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EURASIP Journal on Advances in Signal Processing","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W1999766892.pdf","grobid_xml":"https://content.openalex.org/works/W1999766892.grobid-xml"},"referenced_works_count":35,"referenced_works":["https://openalex.org/W1489793438","https://openalex.org/W1514159701","https://openalex.org/W1548802052","https://openalex.org/W1575865809","https://openalex.org/W1588885902","https://openalex.org/W1868590549","https://openalex.org/W1974388905","https://openalex.org/W1981276685","https://openalex.org/W2019502123","https://openalex.org/W2028838544","https://openalex.org/W2052272843","https://openalex.org/W2056211671","https://openalex.org/W2074365588","https://openalex.org/W2096504408","https://openalex.org/W2097454462","https://openalex.org/W2099741732","https://openalex.org/W2105672294","https://openalex.org/W2108384452","https://openalex.org/W2112345337","https://openalex.org/W2124757684","https://openalex.org/W2131036562","https://openalex.org/W2132796249","https://openalex.org/W2133069808","https://openalex.org/W2142638745","https://openalex.org/W2149014962","https://openalex.org/W2151834013","https://openalex.org/W2157050350","https://openalex.org/W2166150386","https://openalex.org/W2166288622","https://openalex.org/W2523169138","https://openalex.org/W2544829973","https://openalex.org/W2603826118","https://openalex.org/W3100792434","https://openalex.org/W3149448910","https://openalex.org/W4253467796"],"related_works":["https://openalex.org/W2046761971","https://openalex.org/W2103029460","https://openalex.org/W2393502243","https://openalex.org/W2548965393","https://openalex.org/W915513920","https://openalex.org/W2356479045","https://openalex.org/W2156523068","https://openalex.org/W1485777917","https://openalex.org/W1967276093","https://openalex.org/W1581491866"],"abstract_inverted_index":{"We":[0],"derive":[1],"new":[2],"fixed-point":[3],"algorithms":[4,116],"for":[5,106,142],"the":[6,25,48,56,64,75,80,114,137],"blind":[7],"separation":[8],"of":[9,12,27,47,51,72,74,86,139],"complex-valued":[10,28],"mixtures":[11,111],"independent,":[13],"noncircularly":[14],"symmetric,":[15],"and":[16,53,70,97,109],"non-Gaussian":[17],"source":[18],"signals.":[19],"Leveraging":[20],"recently":[21],"developed":[22],"results":[23],"on":[24,36],"separability":[26],"signal":[29,90,99],"mixtures,":[30],"we":[31],"systematically":[32],"construct":[33],"iterative":[34],"procedures":[35,101],"a":[37],"kurtosis-based":[38],"contrast":[39],"whose":[40],"evolutionary":[41],"characteristics":[42],"are":[43],"identical":[44],"to":[45,88,126],"those":[46],"FastICA":[49,76],"algorithm":[50,77],"Hyvarinen":[52],"Oja":[54],"in":[55,121],"real-valued":[57],"mixture":[58],"case.":[59],"Thus,":[60],"our":[61],"methods":[62,130],"inherit":[63],"fast":[65],"convergence":[66],"properties,":[67],"computational":[68],"simplicity,":[69],"ease":[71],"use":[73],"while":[78,131],"at":[79],"same":[81],"time":[82],"extending":[83],"this":[84],"class":[85],"techniques":[87,141],"complex":[89,128],"mixtures.":[91],"For":[92],"extracting":[93],"multiple":[94],"sources,":[95],"symmetric":[96],"asymmetric":[98],"deflation":[100],"can":[102],"be":[103],"employed.":[104],"Simulations":[105],"both":[107],"noiseless":[108],"noisy":[110],"indicate":[112],"that":[113],"proposed":[115],"have":[117],"superior":[118],"finitesample":[119],"performance":[120],"data-starved":[122],"scenarios":[123],"as":[124,134,136],"compared":[125],"existing":[127],"ICA":[129],"performing":[132],"about":[133],"well":[135],"best":[138],"these":[140],"larger":[143],"data-record":[144],"lengths.":[145]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":4},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":8},{"year":2014,"cited_by_count":7},{"year":2013,"cited_by_count":7},{"year":2012,"cited_by_count":9}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}
