{"id":"https://openalex.org/W3164295722","doi":"https://doi.org/10.1109/tit.2022.3184731","title":"Sparse Affine Sampling: Ambiguity-Free and Efficient Sparse Phase Retrieval","display_name":"Sparse Affine Sampling: Ambiguity-Free and Efficient Sparse Phase Retrieval","publication_year":2022,"publication_date":"2022-06-21","ids":{"openalex":"https://openalex.org/W3164295722","doi":"https://doi.org/10.1109/tit.2022.3184731","mag":"3164295722"},"language":"en","primary_location":{"id":"doi:10.1109/tit.2022.3184731","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tit.2022.3184731","pdf_url":null,"source":{"id":"https://openalex.org/S4502562","display_name":"IEEE Transactions on Information Theory","issn_l":"0018-9448","issn":["0018-9448","1557-9654"],"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 Information Theory","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/A5007085399","display_name":"Ming-Hsun Yang","orcid":"https://orcid.org/0000-0002-9719-7801"},"institutions":[{"id":"https://openalex.org/I22265921","display_name":"National Central University","ror":"https://ror.org/00944ve71","country_code":"TW","type":"education","lineage":["https://openalex.org/I22265921"]}],"countries":["TW"],"is_corresponding":true,"raw_author_name":"Ming-Hsun Yang","raw_affiliation_strings":["Department of Communication Engineering, National Central University, Taoyuan, Taiwan"],"affiliations":[{"raw_affiliation_string":"Department of Communication Engineering, National Central University, Taoyuan, Taiwan","institution_ids":["https://openalex.org/I22265921"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009791512","display_name":"Y.-W. Peter Hong","orcid":"https://orcid.org/0000-0001-7043-8276"},"institutions":[{"id":"https://openalex.org/I25846049","display_name":"National Tsing Hua University","ror":"https://ror.org/00zdnkx70","country_code":"TW","type":"education","lineage":["https://openalex.org/I25846049"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Y.-W. Peter Hong","raw_affiliation_strings":["Institute of Communications Engineering, National Tsing Hua University, Hsinchu, Taiwan"],"affiliations":[{"raw_affiliation_string":"Institute of Communications Engineering, National Tsing Hua University, Hsinchu, Taiwan","institution_ids":["https://openalex.org/I25846049"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5004837650","display_name":"Jwo-Yuh Wu","orcid":"https://orcid.org/0000-0002-9608-4346"},"institutions":[{"id":"https://openalex.org/I148366613","display_name":"National Yang Ming Chiao Tung University","ror":"https://ror.org/00se2k293","country_code":"TW","type":"education","lineage":["https://openalex.org/I148366613"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Jwo-Yuh Wu","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Institute of Communications Engineering, and the College of Electrical Engineering, National Yang Ming Chiao Tung University, Hsinchu, Taiwan"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Institute of Communications Engineering, and the College of Electrical Engineering, National Yang Ming Chiao Tung University, Hsinchu, Taiwan","institution_ids":["https://openalex.org/I148366613"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5007085399"],"corresponding_institution_ids":["https://openalex.org/I22265921"],"apc_list":null,"apc_paid":null,"fwci":0.7916,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.67561293,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":"68","issue":"11","first_page":"7604","last_page":"7626"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11183","display_name":"Advanced X-ray Imaging Techniques","score":0.9984999895095825,"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":0.9984999895095825,"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":0.9721999764442444,"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/T10770","display_name":"Soil Geostatistics and Mapping","score":0.9330999851226807,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5732501149177551},{"id":"https://openalex.org/keywords/outlier","display_name":"Outlier","score":0.5724611282348633},{"id":"https://openalex.org/keywords/bounded-function","display_name":"Bounded function","score":0.5005722045898438},{"id":"https://openalex.org/keywords/compressed-sensing","display_name":"Compressed sensing","score":0.5001862049102783},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4843529462814331},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4772517681121826},{"id":"https://openalex.org/keywords/signal-reconstruction","display_name":"Signal reconstruction","score":0.43267592787742615},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4178462326526642},{"id":"https://openalex.org/keywords/signal-processing","display_name":"Signal processing","score":0.2545851469039917},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.21162185072898865},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.10612663626670837}],"concepts":[{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5732501149177551},{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.5724611282348633},{"id":"https://openalex.org/C34388435","wikidata":"https://www.wikidata.org/wiki/Q2267362","display_name":"Bounded function","level":2,"score":0.5005722045898438},{"id":"https://openalex.org/C124851039","wikidata":"https://www.wikidata.org/wiki/Q2665459","display_name":"Compressed sensing","level":2,"score":0.5001862049102783},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4843529462814331},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4772517681121826},{"id":"https://openalex.org/C70958404","wikidata":"https://www.wikidata.org/wiki/Q7512728","display_name":"Signal reconstruction","level":4,"score":0.43267592787742615},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4178462326526642},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.2545851469039917},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.21162185072898865},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.10612663626670837},{"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/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tit.2022.3184731","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tit.2022.3184731","pdf_url":null,"source":{"id":"https://openalex.org/S4502562","display_name":"IEEE Transactions on Information Theory","issn_l":"0018-9448","issn":["0018-9448","1557-9654"],"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 Information Theory","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G136313297","display_name":null,"funder_award_id":"MOST 109-2634-F-007-015","funder_id":"https://openalex.org/F4320322795","funder_display_name":"Ministry of Science and Technology, Taiwan"},{"id":"https://openalex.org/G2892804790","display_name":null,"funder_award_id":"MOST 108-2221-E-009-025 MY3","funder_id":"https://openalex.org/F4320322795","funder_display_name":"Ministry of Science and Technology, Taiwan"},{"id":"https://openalex.org/G4336637194","display_name":null,"funder_award_id":"MOST 110-2634-F-007-02cccccccc1","funder_id":"https://openalex.org/F4320322795","funder_display_name":"Ministry of Science and Technology, Taiwan"},{"id":"https://openalex.org/G598123559","display_name":null,"funder_award_id":"MOST 108-2634-F-009-002","funder_id":"https://openalex.org/F4320322795","funder_display_name":"Ministry of Science and Technology, Taiwan"},{"id":"https://openalex.org/G786974988","display_name":null,"funder_award_id":"MOST 107-2634-F-009-002","funder_id":"https://openalex.org/F4320322795","funder_display_name":"Ministry of Science and Technology, Taiwan"},{"id":"https://openalex.org/G8409102216","display_name":null,"funder_award_id":"MOST 111-2222-E-008-003","funder_id":"https://openalex.org/F4320322795","funder_display_name":"Ministry of Science and Technology, Taiwan"}],"funders":[{"id":"https://openalex.org/F4320322795","display_name":"Ministry of Science and Technology, Taiwan","ror":"https://ror.org/02kv4zf79"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":65,"referenced_works":["https://openalex.org/W182164380","https://openalex.org/W340244495","https://openalex.org/W1544735579","https://openalex.org/W1971402995","https://openalex.org/W1988575198","https://openalex.org/W1993962865","https://openalex.org/W2001613283","https://openalex.org/W2015911499","https://openalex.org/W2032963934","https://openalex.org/W2044613770","https://openalex.org/W2053913299","https://openalex.org/W2069323107","https://openalex.org/W2072208551","https://openalex.org/W2078397124","https://openalex.org/W2101627389","https://openalex.org/W2112796928","https://openalex.org/W2122548617","https://openalex.org/W2126320627","https://openalex.org/W2136328862","https://openalex.org/W2145080587","https://openalex.org/W2150701585","https://openalex.org/W2156043924","https://openalex.org/W2156377127","https://openalex.org/W2167850383","https://openalex.org/W2333670361","https://openalex.org/W2520218137","https://openalex.org/W2521231262","https://openalex.org/W2556597664","https://openalex.org/W2593708037","https://openalex.org/W2607151738","https://openalex.org/W2753751479","https://openalex.org/W2771613505","https://openalex.org/W2785430644","https://openalex.org/W2937324398","https://openalex.org/W2945270405","https://openalex.org/W2962914151","https://openalex.org/W2962914635","https://openalex.org/W2962922269","https://openalex.org/W2962941403","https://openalex.org/W2962999772","https://openalex.org/W2963073572","https://openalex.org/W2963100598","https://openalex.org/W2963309316","https://openalex.org/W2963401889","https://openalex.org/W2963443408","https://openalex.org/W2963652863","https://openalex.org/W2963855280","https://openalex.org/W2964081564","https://openalex.org/W2965557428","https://openalex.org/W2970377464","https://openalex.org/W3007871380","https://openalex.org/W3013241978","https://openalex.org/W3098847492","https://openalex.org/W3099510449","https://openalex.org/W3102044191","https://openalex.org/W3103169419","https://openalex.org/W3117902544","https://openalex.org/W3148325197","https://openalex.org/W3166272768","https://openalex.org/W4205551177","https://openalex.org/W4229606576","https://openalex.org/W6607403468","https://openalex.org/W6678946985","https://openalex.org/W6743971078","https://openalex.org/W6767352173"],"related_works":["https://openalex.org/W2378166785","https://openalex.org/W2156466545","https://openalex.org/W2379468505","https://openalex.org/W3104324607","https://openalex.org/W4206981968","https://openalex.org/W1987102304","https://openalex.org/W4285251805","https://openalex.org/W2601968125","https://openalex.org/W2308961925","https://openalex.org/W2102910599"],"abstract_inverted_index":{"Conventional":[0],"sparse":[1,7,110,139,165,236],"phase":[2,20],"retrieval":[3],"schemes":[4],"can":[5,94,155,175,220],"recover":[6],"signals":[8],"from":[9],"the":[10,31,55,63,82,90,131,135,142,145,164,184,195,202,205,227,231,235,244,263,266],"magnitude":[11,32],"of":[12,33,50,58,89,144,204,230,234,265],"linear":[13,179],"measurements":[14,35],"only":[15],"up":[16,170],"to":[17,36,77,105,171,243,261],"a":[18,25,70,78,159,172,216,248],"global":[19],"ambiguity.":[21],"This":[22],"work":[23],"proposes":[24],"novel":[26],"approach":[27,47,101],"that":[28,48,215],"instead":[29],"utilizes":[30],"affine":[34],"achieve":[37],"ambiguity-free":[38],"signal":[39,60,83,92,153],"reconstruction.":[40],"The":[41,99,189],"proposed":[42,100,267],"method":[43],"relies":[44],"on":[45,81,130,201],"two-stage":[46],"consists":[49],"support":[51,67,122,136,150],"identification":[52,68,123],"followed":[53],"by":[54,226],"exact":[56,87,152],"recovery":[57,88,154],"nonzero":[59,91,232],"entries.":[61],"In":[62,211],"noise-free":[64],"case,":[65],"perfect":[66,121,149],"using":[69,158,178,252],"simple":[71,160],"counting":[72],"rule":[73,162],"is":[74,102,124],"guaranteed":[75],"subject":[76],"mild":[79,128],"condition":[80],"sparsity,":[84],"and":[85,114,141,168,208,239,255],"subsequent":[86],"entries":[93,233],"be":[95,156,176,221],"obtained":[96,190],"in":[97],"closed-form.":[98],"then":[103],"extended":[104],"two":[106],"noisy":[107],"scenarios,":[108],"namely,":[109,134],"noise":[111,132,166,187],"(or":[112],"outliers)":[113],"non-sparse":[115,185],"bounded":[116,146,173,186],"noise.":[117,147],"For":[118],"both":[119,253],"cases,":[120],"still":[125],"ensured":[126],"under":[127],"conditions":[129],"model,":[133],"size":[137],"for":[138,163,183,194],"outliers":[140],"power":[143],"Under":[148],"identification,":[151],"achieved":[157,177,222],"majority":[161],"scenario,":[167],"reconstruction":[169],"error":[174],"least-squares":[180],"(LS)":[181],"estimation":[182],"scenario.":[188],"analytic":[191],"performance":[192,219],"guarantee":[193],"latter":[196],"case":[197],"also":[198],"sheds":[199],"light":[200],"construction":[203],"sensing":[206,237],"matrix":[207,238],"bias":[209,240],"vector.":[210],"fact,":[212],"we":[213],"show":[214],"near":[217],"optimal":[218],"with":[223],"high":[224],"probability":[225],"random":[228],"generation":[229],"vector":[241],"according":[242],"uniform":[245],"distribution":[246],"over":[247],"circle.":[249],"Computer":[250],"simulations":[251],"synthetic":[254],"real-world":[256],"data":[257],"sets":[258],"are":[259],"provided":[260],"demonstrate":[262],"effectiveness":[264],"scheme.":[268]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}