{"id":"https://openalex.org/W2937378485","doi":"https://doi.org/10.1109/icassp.2019.8682761","title":"Asymptotically Optimal Recovery of Gaussian Sources from Noisy Stationary Mixtures: the Least-noisy Maximally-separating Solution","display_name":"Asymptotically Optimal Recovery of Gaussian Sources from Noisy Stationary Mixtures: the Least-noisy Maximally-separating Solution","publication_year":2019,"publication_date":"2019-04-17","ids":{"openalex":"https://openalex.org/W2937378485","doi":"https://doi.org/10.1109/icassp.2019.8682761","mag":"2937378485"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2019.8682761","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2019.8682761","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-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/A5081331925","display_name":"Amir Weiss","orcid":"https://orcid.org/0000-0002-3104-6939"},"institutions":[{"id":"https://openalex.org/I16391192","display_name":"Tel Aviv University","ror":"https://ror.org/04mhzgx49","country_code":"IL","type":"education","lineage":["https://openalex.org/I16391192"]}],"countries":["IL"],"is_corresponding":true,"raw_author_name":"Amir Weiss","raw_affiliation_strings":["School of Electrical Engineering, Tel-Aviv University, Tel-Aviv, Israel"],"affiliations":[{"raw_affiliation_string":"School of Electrical Engineering, Tel-Aviv University, Tel-Aviv, Israel","institution_ids":["https://openalex.org/I16391192"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5011311476","display_name":"Arie Yeredor","orcid":"https://orcid.org/0000-0003-4296-6850"},"institutions":[{"id":"https://openalex.org/I16391192","display_name":"Tel Aviv University","ror":"https://ror.org/04mhzgx49","country_code":"IL","type":"education","lineage":["https://openalex.org/I16391192"]}],"countries":["IL"],"is_corresponding":false,"raw_author_name":"Arie Yeredor","raw_affiliation_strings":["School of Electrical Engineering, Tel-Aviv University, Tel-Aviv, Israel"],"affiliations":[{"raw_affiliation_string":"School of Electrical Engineering, Tel-Aviv University, Tel-Aviv, Israel","institution_ids":["https://openalex.org/I16391192"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5081331925"],"corresponding_institution_ids":["https://openalex.org/I16391192"],"apc_list":null,"apc_paid":null,"fwci":0.1659,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.41438566,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"46","issue":null,"first_page":"5466","last_page":"5470"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation Techniques","score":0.9998999834060669,"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":0.9998999834060669,"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/T10860","display_name":"Speech and Audio Processing","score":0.994700014591217,"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":0.9879000186920166,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/minimum-mean-square-error","display_name":"Minimum mean square error","score":0.612723171710968},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.6014589071273804},{"id":"https://openalex.org/keywords/asymptotically-optimal-algorithm","display_name":"Asymptotically optimal algorithm","score":0.5976456999778748},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.595524251461029},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.5387806296348572},{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.4943370819091797},{"id":"https://openalex.org/keywords/blind-signal-separation","display_name":"Blind signal separation","score":0.45728084444999695},{"id":"https://openalex.org/keywords/mean-squared-error","display_name":"Mean squared error","score":0.45177313685417175},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.44039639830589294},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.43874621391296387},{"id":"https://openalex.org/keywords/estimation-theory","display_name":"Estimation theory","score":0.41090402007102966},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3829091191291809},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.3413058817386627},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.34037256240844727},{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.19847062230110168},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.0902705192565918}],"concepts":[{"id":"https://openalex.org/C90652560","wikidata":"https://www.wikidata.org/wiki/Q11091747","display_name":"Minimum mean square error","level":3,"score":0.612723171710968},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.6014589071273804},{"id":"https://openalex.org/C181789720","wikidata":"https://www.wikidata.org/wiki/Q4812191","display_name":"Asymptotically optimal algorithm","level":2,"score":0.5976456999778748},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.595524251461029},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.5387806296348572},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.4943370819091797},{"id":"https://openalex.org/C120317606","wikidata":"https://www.wikidata.org/wiki/Q17105967","display_name":"Blind signal separation","level":3,"score":0.45728084444999695},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.45177313685417175},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.44039639830589294},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.43874621391296387},{"id":"https://openalex.org/C167928553","wikidata":"https://www.wikidata.org/wiki/Q1376021","display_name":"Estimation theory","level":2,"score":0.41090402007102966},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3829091191291809},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.3413058817386627},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.34037256240844727},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.19847062230110168},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.0902705192565918},{"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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","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/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp.2019.8682761","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2019.8682761","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W1548850187","https://openalex.org/W1755563775","https://openalex.org/W1977067929","https://openalex.org/W1980494867","https://openalex.org/W1986159300","https://openalex.org/W1996355918","https://openalex.org/W2029297205","https://openalex.org/W2041756079","https://openalex.org/W2084840427","https://openalex.org/W2101303708","https://openalex.org/W2110476671","https://openalex.org/W2124757684","https://openalex.org/W2142638745","https://openalex.org/W2143132653","https://openalex.org/W2146761479","https://openalex.org/W2146906596","https://openalex.org/W2154167944","https://openalex.org/W2155759219","https://openalex.org/W2164274618","https://openalex.org/W2962753642","https://openalex.org/W3203224907","https://openalex.org/W4205125306","https://openalex.org/W4255783720","https://openalex.org/W4299476780","https://openalex.org/W6765775615"],"related_works":["https://openalex.org/W2383482627","https://openalex.org/W2392054573","https://openalex.org/W2162758065","https://openalex.org/W2997589526","https://openalex.org/W4289145503","https://openalex.org/W2099940608","https://openalex.org/W2075897667","https://openalex.org/W2907746047","https://openalex.org/W3125536267","https://openalex.org/W2274645452"],"abstract_inverted_index":{"We":[0,128,143],"address":[1],"the":[2,30,41,54,69,74,79,91,102,108,112,115,120,130,134,138,145,151],"problem":[3],"of":[4,73,81,90,101,111,133,150],"source":[5],"separation":[6],"from":[7,49],"noisy":[8,24],"mixtures":[9],"in":[10,147],"a":[11,26,36],"semi-blind":[12],"scenario,":[13],"with":[14,107,119],"stationary,":[15],"temporally-diverse":[16],"Gaussian":[17],"sources":[18],"and":[19,136,154],"known":[20],"spectra.":[21],"In":[22],"such":[23],"models,":[25],"dilemma":[27],"arises":[28],"regarding":[29],"desired":[31],"objective.":[32],"On":[33,53],"one":[34],"hand,":[35,56],"\"maximally":[37],"separating\"":[38],"solution,":[39],"providing":[40],"minimal":[42],"attainable":[43],"Interference-to-Source-Ratio":[44],"(ISR),":[45],"would":[46,64],"often":[47,77],"suffer":[48],"significant":[50],"residual":[51],"noise.":[52],"other":[55,116],"optimal":[57],"Minimum":[58],"Mean":[59],"Square":[60],"Error":[61],"(MMSE)":[62],"estimation":[63,89],"yield":[65],"estimates":[66,100,153],"which":[67],"are":[68],"\"least":[70],"distorted\"":[71],"versions":[72],"true":[75],"sources,":[76,113],"at":[78],"cost":[80],"compromised":[82],"ISR.":[83],"Based":[84],"on":[85],"Maximum":[86],"Likelihood":[87],"(ML)":[88],"unknown":[92],"underlying":[93],"model":[94],"parameters,":[95],"we":[96],"propose":[97],"two":[98],"ML-based":[99],"sources.":[103],"One":[104],"asymptotically":[105,117],"coincides":[106,118],"MMSE":[109],"estimate":[110],"whereas":[114],"(unbiased)":[121],"\"least-noisy":[122],"maximally-separating\"":[123],"solution":[124],"for":[125],"this":[126],"model.":[127],"prove":[129],"asymptotic":[131],"optimality":[132],"latter":[135],"present":[137],"corresponding":[139],"Cram\u00e9r-Rao":[140],"lower":[141],"bound.":[142],"discuss":[144],"differences":[146],"principal":[148],"properties":[149],"proposed":[152],"demonstrate":[155],"them":[156],"empirically":[157],"using":[158],"simulation":[159],"results.":[160]},"counts_by_year":[{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}