{"id":"https://openalex.org/W3167910723","doi":"https://doi.org/10.1145/3456415.3456521","title":"Phase retrieval with outliers based on smoothing function","display_name":"Phase retrieval with outliers based on smoothing function","publication_year":2021,"publication_date":"2021-02-25","ids":{"openalex":"https://openalex.org/W3167910723","doi":"https://doi.org/10.1145/3456415.3456521","mag":"3167910723"},"language":"en","primary_location":{"id":"doi:10.1145/3456415.3456521","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3456415.3456521","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 9th International Conference on Communications and Broadband Networking","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/A5008697324","display_name":"Dequn Liu","orcid":null},"institutions":[{"id":"https://openalex.org/I143868143","display_name":"Anhui University","ror":"https://ror.org/05th6yx34","country_code":"CN","type":"education","lineage":["https://openalex.org/I143868143"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Dequn Liu","raw_affiliation_strings":["Anhui University, China"],"affiliations":[{"raw_affiliation_string":"Anhui University, China","institution_ids":["https://openalex.org/I143868143"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040257611","display_name":"Quanbing Zhang","orcid":"https://orcid.org/0000-0003-3828-8137"},"institutions":[{"id":"https://openalex.org/I143868143","display_name":"Anhui University","ror":"https://ror.org/05th6yx34","country_code":"CN","type":"education","lineage":["https://openalex.org/I143868143"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Quanbing Zhang","raw_affiliation_strings":["Anhui University, China"],"affiliations":[{"raw_affiliation_string":"Anhui University, China","institution_ids":["https://openalex.org/I143868143"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052772919","display_name":"Aoya Li","orcid":null},"institutions":[{"id":"https://openalex.org/I143868143","display_name":"Anhui University","ror":"https://ror.org/05th6yx34","country_code":"CN","type":"education","lineage":["https://openalex.org/I143868143"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Aoya Li","raw_affiliation_strings":["Anhui University, China"],"affiliations":[{"raw_affiliation_string":"Anhui University, China","institution_ids":["https://openalex.org/I143868143"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5076045314","display_name":"Sufan Wang","orcid":"https://orcid.org/0000-0002-8179-1566"},"institutions":[{"id":"https://openalex.org/I143868143","display_name":"Anhui University","ror":"https://ror.org/05th6yx34","country_code":"CN","type":"education","lineage":["https://openalex.org/I143868143"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Sufan Wang","raw_affiliation_strings":["Anhui University, China"],"affiliations":[{"raw_affiliation_string":"Anhui University, China","institution_ids":["https://openalex.org/I143868143"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5008697324"],"corresponding_institution_ids":["https://openalex.org/I143868143"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.06510485,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"74","last_page":"77"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11183","display_name":"Advanced X-ray Imaging Techniques","score":0.9997000098228455,"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":0.9997000098228455,"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/T10638","display_name":"Optical measurement and interference techniques","score":0.9390000104904175,"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/T11733","display_name":"X-ray Spectroscopy and Fluorescence Analysis","score":0.9376999735832214,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/outlier","display_name":"Outlier","score":0.8048725724220276},{"id":"https://openalex.org/keywords/initialization","display_name":"Initialization","score":0.7820410132408142},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.6776098608970642},{"id":"https://openalex.org/keywords/amplitude","display_name":"Amplitude","score":0.6015787124633789},{"id":"https://openalex.org/keywords/phase-retrieval","display_name":"Phase retrieval","score":0.5949528217315674},{"id":"https://openalex.org/keywords/smoothing","display_name":"Smoothing","score":0.5477378964424133},{"id":"https://openalex.org/keywords/gradient-descent","display_name":"Gradient descent","score":0.5379140973091125},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.5215699076652527},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4835500419139862},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.4400911331176758},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.3936998248100281},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.35869741439819336},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.21749591827392578},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.11822351813316345},{"id":"https://openalex.org/keywords/fourier-transform","display_name":"Fourier transform","score":0.09023845195770264}],"concepts":[{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.8048725724220276},{"id":"https://openalex.org/C114466953","wikidata":"https://www.wikidata.org/wiki/Q6034165","display_name":"Initialization","level":2,"score":0.7820410132408142},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.6776098608970642},{"id":"https://openalex.org/C180205008","wikidata":"https://www.wikidata.org/wiki/Q159190","display_name":"Amplitude","level":2,"score":0.6015787124633789},{"id":"https://openalex.org/C81793267","wikidata":"https://www.wikidata.org/wiki/Q7180962","display_name":"Phase retrieval","level":3,"score":0.5949528217315674},{"id":"https://openalex.org/C3770464","wikidata":"https://www.wikidata.org/wiki/Q775963","display_name":"Smoothing","level":2,"score":0.5477378964424133},{"id":"https://openalex.org/C153258448","wikidata":"https://www.wikidata.org/wiki/Q1199743","display_name":"Gradient descent","level":3,"score":0.5379140973091125},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.5215699076652527},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4835500419139862},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.4400911331176758},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3936998248100281},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.35869741439819336},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.21749591827392578},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.11822351813316345},{"id":"https://openalex.org/C102519508","wikidata":"https://www.wikidata.org/wiki/Q6520159","display_name":"Fourier transform","level":2,"score":0.09023845195770264},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","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/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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"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":1,"locations":[{"id":"doi:10.1145/3456415.3456521","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3456415.3456521","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 9th International Conference on Communications and Broadband Networking","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1243995825","display_name":null,"funder_award_id":"61605002","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7496157764","display_name":null,"funder_award_id":"2008085MF209","funder_id":"https://openalex.org/F4320334897","funder_display_name":"Natural Science Foundation of Anhui Province"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320334897","display_name":"Natural Science Foundation of Anhui Province","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W1484412996","https://openalex.org/W2007593159","https://openalex.org/W2047602908","https://openalex.org/W2077647472","https://openalex.org/W2078397124","https://openalex.org/W2142949395","https://openalex.org/W2145080587","https://openalex.org/W2157732102","https://openalex.org/W2542482481","https://openalex.org/W2792682996","https://openalex.org/W2963077884","https://openalex.org/W2964262188","https://openalex.org/W3102206315","https://openalex.org/W6749343359"],"related_works":["https://openalex.org/W3204184292","https://openalex.org/W3176564347","https://openalex.org/W1985458517","https://openalex.org/W2355833770","https://openalex.org/W4226299596","https://openalex.org/W4309434778","https://openalex.org/W3214759249","https://openalex.org/W2984511682","https://openalex.org/W4283773090","https://openalex.org/W4200300529"],"abstract_inverted_index":{"This":[0],"paper":[1],"studies":[2],"the":[3,9,38,54,63,68,73,79,85,93,99,104,109,123],"problem":[4],"of":[5,81,126,128],"recovery":[6],"signal":[7,105],"from":[8],"given":[10],"quadratic":[11],"measurements":[12,82,127],"that":[13,98],"are":[14],"corrupted":[15],"by":[16],"outliers,":[17],"which":[18,36],"is":[19,137],"called":[20],"phase":[21,26],"retrieval.":[22],"We":[23],"propose":[24],"a":[25,45],"retrieval":[27],"algorithm":[28,101,114,130],"based":[29],"on":[30],"median":[31,39,55,87],"Smooth":[32,111],"Amplitude":[33,112],"Flow":[34,113],"(median-SAF),":[35],"adopts":[37],"orthogonality-promoting":[40],"initialization":[41],"method":[42],"to":[43,59,62,77,91],"generate":[44],"reasonable":[46],"initial":[47],"estimate,":[48],"and":[49,83,117,134],"then":[50],"iteratively":[51],"update":[52],"using":[53],"smooth":[56],"amplitude":[57,74],"flow":[58],"ensure":[60],"convergence":[61,135],"global":[64],"optimal":[65],"solution.":[66],"In":[67],"iterative":[69],"step,":[70],"we":[71],"use":[72],"loss":[75],"function":[76],"reduce":[78],"number":[80,125],"introduce":[84],"sample":[86],"in":[88],"gradient":[89],"descent":[90],"handle":[92],"outliers.":[94],"Simulation":[95],"experiments":[96],"show":[97],"presented":[100],"can":[102,131],"recover":[103],"with":[106,119],"outliers":[107],"while":[108],"original":[110],"cannot":[115],"do,":[116],"compared":[118],"other":[120],"median-based":[121],"algorithms,":[122],"required":[124],"our":[129],"be":[132],"fewer":[133],"speed":[136],"faster.":[138]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}