{"id":"https://openalex.org/W4225616056","doi":"https://doi.org/10.1109/tsp.2022.3170710","title":"Unsupervised Phase Retrieval Using Deep Approximate MMSE Estimation","display_name":"Unsupervised Phase Retrieval Using Deep Approximate MMSE Estimation","publication_year":2022,"publication_date":"2022-01-01","ids":{"openalex":"https://openalex.org/W4225616056","doi":"https://doi.org/10.1109/tsp.2022.3170710"},"language":"en","primary_location":{"id":"doi:10.1109/tsp.2022.3170710","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsp.2022.3170710","pdf_url":null,"source":{"id":"https://openalex.org/S168680287","display_name":"IEEE Transactions on Signal Processing","issn_l":"1053-587X","issn":["1053-587X","1941-0476"],"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 Signal Processing","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/A5072749467","display_name":"Mingqin Chen","orcid":"https://orcid.org/0000-0002-1904-6688"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Mingqin Chen","raw_affiliation_strings":["School of Computer Science and Engineering, South China University of Technology, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061844655","display_name":"Peikang Lin","orcid":null},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Peikang Lin","raw_affiliation_strings":["School of Computer Science and Engineering, South China University of Technology, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038130835","display_name":"Yuhui Quan","orcid":"https://orcid.org/0000-0002-2564-7703"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuhui Quan","raw_affiliation_strings":["School of Computer Science and Engineering, South China University of Technology, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049794446","display_name":"Tongyao Pang","orcid":"https://orcid.org/0000-0002-1392-1242"},"institutions":[{"id":"https://openalex.org/I165932596","display_name":"National University of Singapore","ror":"https://ror.org/01tgyzw49","country_code":"SG","type":"education","lineage":["https://openalex.org/I165932596"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Tongyao Pang","raw_affiliation_strings":["Department of Mathematics, National University of Singapore, Singapore"],"affiliations":[{"raw_affiliation_string":"Department of Mathematics, National University of Singapore, Singapore","institution_ids":["https://openalex.org/I165932596"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5030046423","display_name":"Hui Ji","orcid":"https://orcid.org/0000-0002-1674-6056"},"institutions":[{"id":"https://openalex.org/I165932596","display_name":"National University of Singapore","ror":"https://ror.org/01tgyzw49","country_code":"SG","type":"education","lineage":["https://openalex.org/I165932596"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Hui Ji","raw_affiliation_strings":["Department of Mathematics, National University of Singapore, Singapore"],"affiliations":[{"raw_affiliation_string":"Department of Mathematics, National University of Singapore, Singapore","institution_ids":["https://openalex.org/I165932596"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5072749467"],"corresponding_institution_ids":["https://openalex.org/I90610280"],"apc_list":null,"apc_paid":null,"fwci":3.7249,"has_fulltext":false,"cited_by_count":15,"citation_normalized_percentile":{"value":0.93048669,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"70","issue":null,"first_page":"2239","last_page":"2252"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11183","display_name":"Advanced X-ray Imaging Techniques","score":0.9993000030517578,"subfield":{"id":"https://openalex.org/subfields/3108","display_name":"Radiation"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11183","display_name":"Advanced X-ray Imaging Techniques","score":0.9993000030517578,"subfield":{"id":"https://openalex.org/subfields/3108","display_name":"Radiation"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12039","display_name":"Electron and X-Ray Spectroscopy Techniques","score":0.9751999974250793,"subfield":{"id":"https://openalex.org/subfields/2508","display_name":"Surfaces, Coatings and Films"},"field":{"id":"https://openalex.org/fields/25","display_name":"Materials Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10857","display_name":"Advanced Electron Microscopy Techniques and Applications","score":0.9689000248908997,"subfield":{"id":"https://openalex.org/subfields/1315","display_name":"Structural Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7281883955001831},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6725062727928162},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6279541254043579},{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.6108223795890808},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5731751918792725},{"id":"https://openalex.org/keywords/mean-squared-error","display_name":"Mean squared error","score":0.490835964679718},{"id":"https://openalex.org/keywords/unsupervised-learning","display_name":"Unsupervised learning","score":0.4806015193462372},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.44276684522628784},{"id":"https://openalex.org/keywords/minimum-mean-square-error","display_name":"Minimum mean square error","score":0.4240127205848694},{"id":"https://openalex.org/keywords/ground-truth","display_name":"Ground truth","score":0.42015761137008667},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4096568822860718},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.18958115577697754},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.11838927865028381}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7281883955001831},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6725062727928162},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6279541254043579},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.6108223795890808},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5731751918792725},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.490835964679718},{"id":"https://openalex.org/C8038995","wikidata":"https://www.wikidata.org/wiki/Q1152135","display_name":"Unsupervised learning","level":2,"score":0.4806015193462372},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.44276684522628784},{"id":"https://openalex.org/C90652560","wikidata":"https://www.wikidata.org/wiki/Q11091747","display_name":"Minimum mean square error","level":3,"score":0.4240127205848694},{"id":"https://openalex.org/C146849305","wikidata":"https://www.wikidata.org/wiki/Q370766","display_name":"Ground truth","level":2,"score":0.42015761137008667},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4096568822860718},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.18958115577697754},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.11838927865028381},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tsp.2022.3170710","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsp.2022.3170710","pdf_url":null,"source":{"id":"https://openalex.org/S168680287","display_name":"IEEE Transactions on Signal Processing","issn_l":"1053-587X","issn":["1053-587X","1941-0476"],"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 Signal Processing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1376253947","display_name":null,"funder_award_id":"61872151","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2565906561","display_name":null,"funder_award_id":"2022A1515011755","funder_id":"https://openalex.org/F4320321921","funder_display_name":"Natural Science Foundation of Guangdong Province"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321921","display_name":"Natural Science Foundation of Guangdong Province","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":76,"referenced_works":["https://openalex.org/W601603264","https://openalex.org/W1484412996","https://openalex.org/W1516111018","https://openalex.org/W1522301498","https://openalex.org/W1533861849","https://openalex.org/W2001613283","https://openalex.org/W2006887802","https://openalex.org/W2007593159","https://openalex.org/W2044613770","https://openalex.org/W2044810215","https://openalex.org/W2056370875","https://openalex.org/W2078397124","https://openalex.org/W2095705004","https://openalex.org/W2136328862","https://openalex.org/W2142949395","https://openalex.org/W2145080587","https://openalex.org/W2256685641","https://openalex.org/W2333670361","https://openalex.org/W2512442405","https://openalex.org/W2520218137","https://openalex.org/W2527014307","https://openalex.org/W2600383743","https://openalex.org/W2612688942","https://openalex.org/W2613155248","https://openalex.org/W2698354080","https://openalex.org/W2751279721","https://openalex.org/W2755751583","https://openalex.org/W2761315682","https://openalex.org/W2771305881","https://openalex.org/W2783478024","https://openalex.org/W2799506533","https://openalex.org/W2800412844","https://openalex.org/W2803120452","https://openalex.org/W2898001268","https://openalex.org/W2950137455","https://openalex.org/W2962941403","https://openalex.org/W2962999772","https://openalex.org/W2963443408","https://openalex.org/W2963684088","https://openalex.org/W2965557428","https://openalex.org/W2981400869","https://openalex.org/W2981810212","https://openalex.org/W3004872016","https://openalex.org/W3005491754","https://openalex.org/W3017940382","https://openalex.org/W3034925446","https://openalex.org/W3061617046","https://openalex.org/W3080398103","https://openalex.org/W3090917128","https://openalex.org/W3104724358","https://openalex.org/W3106459670","https://openalex.org/W3113136090","https://openalex.org/W3120690350","https://openalex.org/W3162699647","https://openalex.org/W3175700273","https://openalex.org/W3179953624","https://openalex.org/W3205884992","https://openalex.org/W4297979842","https://openalex.org/W4298857773","https://openalex.org/W4301028776","https://openalex.org/W6618476874","https://openalex.org/W6628955290","https://openalex.org/W6631190155","https://openalex.org/W6631943919","https://openalex.org/W6674330103","https://openalex.org/W6685352114","https://openalex.org/W6725009606","https://openalex.org/W6735307612","https://openalex.org/W6735443497","https://openalex.org/W6743660708","https://openalex.org/W6753037639","https://openalex.org/W6753088188","https://openalex.org/W6755694737","https://openalex.org/W6763538747","https://openalex.org/W6773521587","https://openalex.org/W6786709790"],"related_works":["https://openalex.org/W4287880334","https://openalex.org/W4295532600","https://openalex.org/W4366700029","https://openalex.org/W1999706086","https://openalex.org/W2521753262","https://openalex.org/W2585209928","https://openalex.org/W2075897667","https://openalex.org/W3125536267","https://openalex.org/W2274645452","https://openalex.org/W2907746047"],"abstract_inverted_index":{"Phase":[0],"retrieval":[1],"(PR)":[2],"is":[3,87],"about":[4],"reconstructing":[5],"a":[6,12,68,117,130,146,150],"signal":[7,122,157],"from":[8],"the":[9,26,126,135,155,169],"magnitude":[10,127],"of":[11,14,28,37,129,171],"number":[13],"its":[15,179],"complex-valued":[16],"linear":[17],"measurements.":[18],"Recent":[19],"rapid":[20],"progress":[21],"has":[22],"been":[23],"made":[24],"on":[25,106,125,164],"development":[27],"neural":[29],"network":[30],"(NN)":[31],"based":[32],"methods":[33,39,72,177],"for":[34,43,56,77,100,121,154],"PR.":[35],"Most":[36],"these":[38],"employ":[40],"pre-trained":[41,107],"NNs":[42,108],"modeling":[44],"target":[45,131,156],"signals,":[46],"and":[47,178],"they":[48],"require":[49],"collecting":[50],"large-scale":[51],"datasets":[52],"with":[53],"ground-truth":[54],"signals":[55],"pre-training,":[57],"which":[58,79,102,133],"can":[59],"be":[60],"very":[61],"challenging":[62],"in":[63],"many":[64],"scenarios.":[65],"There":[66],"are":[67],"few":[69],"unsupervised":[70,97,176],"learning":[71,98],"employing":[73],"untrained":[74],"NN":[75,120],"priors":[76],"PR":[78,101],"avoid":[80],"using":[81],"external":[82],"datasets;":[83],"however,":[84],"their":[85],"performance":[86,181],"unsatisfactory":[88],"compared":[89],"to":[90,182],"pre-trained-NN-based":[91,183],"methods.":[92,161,184],"This":[93],"paper":[94],"proposes":[95],"an":[96],"method":[99,115,173],"does":[103],"not":[104],"rely":[105],"while":[109],"providing":[110],"state-of-the-art":[111],"performance.":[112],"The":[113,162],"proposed":[114],"trains":[116],"randomly-initialized":[118],"generative":[119],"reconstruction":[123,166],"directly":[124],"measurements":[128],"signal,":[132],"approximates":[134],"minimum":[136],"mean":[137],"squared":[138],"error":[139],"estimator":[140],"via":[141],"dropout-based":[142],"model":[143],"averaging.":[144],"Such":[145],"model-averaging-based":[147],"approach":[148],"provides":[149],"better":[151],"internal":[152],"prior":[153],"than":[158],"existing":[159,175],"untrained-NN-based":[160],"experiments":[163],"image":[165],"demonstrate":[167],"both":[168],"advantage":[170],"our":[172],"over":[174],"competitive":[180]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":4}],"updated_date":"2026-03-28T08:17:26.163206","created_date":"2025-10-10T00:00:00"}
