{"id":"https://openalex.org/W2084335261","doi":"https://doi.org/10.1109/acssc.2011.6190102","title":"Compressed sensing phase retrieval","display_name":"Compressed sensing phase retrieval","publication_year":2011,"publication_date":"2011-11-01","ids":{"openalex":"https://openalex.org/W2084335261","doi":"https://doi.org/10.1109/acssc.2011.6190102","mag":"2084335261"},"language":"en","primary_location":{"id":"doi:10.1109/acssc.2011.6190102","is_oa":false,"landing_page_url":"https://doi.org/10.1109/acssc.2011.6190102","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 Conference Record of the Forty Fifth Asilomar Conference on Signals, Systems and Computers (ASILOMAR)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5048863527","display_name":"Albert Fannjiang","orcid":"https://orcid.org/0000-0003-3150-7392"},"institutions":[{"id":"https://openalex.org/I84218800","display_name":"University of California, Davis","ror":"https://ror.org/05rrcem69","country_code":"US","type":"education","lineage":["https://openalex.org/I84218800"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Albert Fannjiang","raw_affiliation_strings":["Department of Mathematics, University of California Davis, CA, USA","Department of Mathematics, UC Davis, CA 95616-8633, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Mathematics, University of California Davis, CA, USA","institution_ids":["https://openalex.org/I84218800"]},{"raw_affiliation_string":"Department of Mathematics, UC Davis, CA 95616-8633, USA","institution_ids":["https://openalex.org/I84218800"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5050616963","display_name":"Wenjing Liao","orcid":"https://orcid.org/0000-0003-2309-3839"},"institutions":[{"id":"https://openalex.org/I84218800","display_name":"University of California, Davis","ror":"https://ror.org/05rrcem69","country_code":"US","type":"education","lineage":["https://openalex.org/I84218800"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Wenjing Liao","raw_affiliation_strings":["Department of Mathematics, University of California Davis, CA, USA","Department of Mathematics, UC Davis, CA 95616-8633, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Mathematics, University of California Davis, CA, USA","institution_ids":["https://openalex.org/I84218800"]},{"raw_affiliation_string":"Department of Mathematics, UC Davis, CA 95616-8633, USA","institution_ids":["https://openalex.org/I84218800"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I84218800"],"apc_list":null,"apc_paid":null,"fwci":3.7983,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.9281401,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":97},"biblio":{"volume":"70","issue":null,"first_page":"735","last_page":"738"},"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":0.9672999978065491,"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/T10857","display_name":"Advanced Electron Microscopy Techniques and Applications","score":0.9664000272750854,"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/phase-retrieval","display_name":"Phase retrieval","score":0.7858218550682068},{"id":"https://openalex.org/keywords/nyquist\u2013shannon-sampling-theorem","display_name":"Nyquist\u2013Shannon sampling theorem","score":0.70758056640625},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.671708881855011},{"id":"https://openalex.org/keywords/uniqueness","display_name":"Uniqueness","score":0.5427771210670471},{"id":"https://openalex.org/keywords/compressed-sensing","display_name":"Compressed sensing","score":0.5280802249908447},{"id":"https://openalex.org/keywords/phase","display_name":"Phase (matter)","score":0.5204213261604309},{"id":"https://openalex.org/keywords/ambiguity","display_name":"Ambiguity","score":0.518749475479126},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5085293054580688},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.5011701583862305},{"id":"https://openalex.org/keywords/nyquist-rate","display_name":"Nyquist rate","score":0.425345778465271},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3584611713886261},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3350597023963928},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.33257240056991577},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.11028328537940979},{"id":"https://openalex.org/keywords/fourier-transform","display_name":"Fourier transform","score":0.08350807428359985},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.07964661717414856}],"concepts":[{"id":"https://openalex.org/C81793267","wikidata":"https://www.wikidata.org/wiki/Q7180962","display_name":"Phase retrieval","level":3,"score":0.7858218550682068},{"id":"https://openalex.org/C288623","wikidata":"https://www.wikidata.org/wiki/Q679800","display_name":"Nyquist\u2013Shannon sampling theorem","level":2,"score":0.70758056640625},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.671708881855011},{"id":"https://openalex.org/C2777021972","wikidata":"https://www.wikidata.org/wiki/Q22976830","display_name":"Uniqueness","level":2,"score":0.5427771210670471},{"id":"https://openalex.org/C124851039","wikidata":"https://www.wikidata.org/wiki/Q2665459","display_name":"Compressed sensing","level":2,"score":0.5280802249908447},{"id":"https://openalex.org/C44280652","wikidata":"https://www.wikidata.org/wiki/Q104837","display_name":"Phase (matter)","level":2,"score":0.5204213261604309},{"id":"https://openalex.org/C2780522230","wikidata":"https://www.wikidata.org/wiki/Q1140419","display_name":"Ambiguity","level":2,"score":0.518749475479126},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5085293054580688},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.5011701583862305},{"id":"https://openalex.org/C65914096","wikidata":"https://www.wikidata.org/wiki/Q6273772","display_name":"Nyquist rate","level":4,"score":0.425345778465271},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3584611713886261},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3350597023963928},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.33257240056991577},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.11028328537940979},{"id":"https://openalex.org/C102519508","wikidata":"https://www.wikidata.org/wiki/Q6520159","display_name":"Fourier transform","level":2,"score":0.08350807428359985},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.07964661717414856},{"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/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/acssc.2011.6190102","is_oa":false,"landing_page_url":"https://doi.org/10.1109/acssc.2011.6190102","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 Conference Record of the Forty Fifth Asilomar Conference on Signals, Systems and Computers (ASILOMAR)","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.392.9669","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.392.9669","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"https://www.math.ucdavis.edu/~fannjiang/home/papers/phasing-Asilomar.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.393.589","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.393.589","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"https://www.math.ucdavis.edu/~fannjiang/home/papers/phasing-Asilomar11.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W1625216228","https://openalex.org/W1967761536","https://openalex.org/W1972822190","https://openalex.org/W1994217658","https://openalex.org/W2007593159","https://openalex.org/W2061729391","https://openalex.org/W2066881599","https://openalex.org/W2097132843","https://openalex.org/W2101769813","https://openalex.org/W2102716058","https://openalex.org/W2106993026","https://openalex.org/W2107535961","https://openalex.org/W2113972737","https://openalex.org/W2128739748","https://openalex.org/W2129638195","https://openalex.org/W2136328862","https://openalex.org/W2145096794","https://openalex.org/W2149500643","https://openalex.org/W2151603300","https://openalex.org/W2186190626","https://openalex.org/W2296616510","https://openalex.org/W2983347919","https://openalex.org/W3102756287","https://openalex.org/W4302550371"],"related_works":["https://openalex.org/W2497512603","https://openalex.org/W2071548530","https://openalex.org/W3001645640","https://openalex.org/W2543797074","https://openalex.org/W2568992563","https://openalex.org/W2354835911","https://openalex.org/W2006987799","https://openalex.org/W2081579692","https://openalex.org/W2468414543","https://openalex.org/W3000185773"],"abstract_inverted_index":{"Theory":[0],"of":[1,18,47,51],"absolute":[2],"uniqueness":[3],"for":[4],"phase":[5,27],"retrieval":[6,28],"with":[7,34],"random":[8,13],"illumination":[9,14],"is":[10],"presented.":[11],"Suitable":[12],"eliminates":[15],"all":[16],"sources":[17],"ambiguity,":[19],"trivial":[20],"and":[21,43],"nontrivial.":[22],"As":[23],"a":[24,35],"result,":[25],"random-illumination-aided":[26],"algorithms":[29],"can":[30],"accurately":[31],"recover":[32],"objects":[33],"below-Nyquist":[36],"sampling":[37],"rate":[38],"close":[39],"to":[40],"the":[41,45],"minimum":[42],"reduce":[44],"number":[46],"iterations":[48],"by":[49],"order":[50],"magnitude.":[52]},"counts_by_year":[{"year":2013,"cited_by_count":3}],"updated_date":"2026-08-26T07:47:46.906454","created_date":"2025-10-10T00:00:00"}
