{"id":"https://openalex.org/W2588224366","doi":"https://doi.org/10.1109/sampta.2017.8024447","title":"Factor analysis for spectral estimation","display_name":"Factor analysis for spectral estimation","publication_year":2017,"publication_date":"2017-07-01","ids":{"openalex":"https://openalex.org/W2588224366","doi":"https://doi.org/10.1109/sampta.2017.8024447","mag":"2588224366","pmid":"https://pubmed.ncbi.nlm.nih.gov/30854520","pmcid":"https://www.ncbi.nlm.nih.gov/pmc/articles/6405211"},"language":"en","primary_location":{"id":"doi:10.1109/sampta.2017.8024447","doi":"https://doi.org/10.1109/sampta.2017.8024447","is_oa":false,"landing_page_url":"https://doi.org/10.1109/sampta.2017.8024447","pdf_url":null,"source":{"id":"https://openalex.org/S4306419801","display_name":"International Conference on Sampling Theory and Applications","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 International Conference on Sampling Theory and Applications (SampTA)","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","indexed_in":["arxiv","crossref","datacite","pubmed"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/6405211","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5043290570","display_name":"Joakim And\u00e9n","orcid":"https://orcid.org/0000-0002-3377-813X","observed_orcids":["https://orcid.org/0000-0002-3377-813X"]},"institutions":[{"id":"https://openalex.org/I20089843","display_name":"Princeton University","ror":"https://ror.org/00hx57361","country_code":"US","type":"education","lineage":["https://openalex.org/I20089843"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Joakim Anden","raw_affiliation_strings":["Program in Applied and Computational Mathematics, Princeton University, Princeton, NJ, 08544","[Program in Applied and Computational Mathematics, Princeton University, NJ, 08544, United States of America]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Program in Applied and Computational Mathematics, Princeton University, Princeton, NJ, 08544","institution_ids":["https://openalex.org/I20089843"]},{"raw_affiliation_string":"[Program in Applied and Computational Mathematics, Princeton University, NJ, 08544, United States of America]","institution_ids":["https://openalex.org/I20089843"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5062844820","display_name":"Amit Singer","orcid":"https://orcid.org/0000-0002-6975-7955","observed_orcids":["https://orcid.org/0000-0002-6975-7955"]},"institutions":[{"id":"https://openalex.org/I20089843","display_name":"Princeton University","ror":"https://ror.org/00hx57361","country_code":"US","type":"education","lineage":["https://openalex.org/I20089843"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Amit Singer","raw_affiliation_strings":["Department of Mathematics and Program in Applied and Computational Mathematics, Princeton University, Princeton, NJ, 08544","Department of Mathematics and Program in Applied and Computational Mathematics, Princeton University, NJ, 08544, United States of America"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Mathematics and Program in Applied and Computational Mathematics, Princeton University, Princeton, NJ, 08544","institution_ids":["https://openalex.org/I20089843"]},{"raw_affiliation_string":"Department of Mathematics and Program in Applied and Computational Mathematics, Princeton University, NJ, 08544, United States of America","institution_ids":["https://openalex.org/I20089843"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I20089843"],"apc_list":null,"apc_paid":null,"fwci":2.0687,"has_fulltext":true,"cited_by_count":7,"citation_normalized_percentile":{"value":0.90764444,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":88,"max":96},"biblio":{"volume":"2017","issue":null,"first_page":"169","last_page":"173"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.2101999968290329,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.2101999968290329,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11210","display_name":"Mathematical Analysis and Transform Methods","score":0.1386999934911728,"subfield":{"id":"https://openalex.org/subfields/2604","display_name":"Applied Mathematics"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T13487","display_name":"Statistical and numerical algorithms","score":0.09600000083446503,"subfield":{"id":"https://openalex.org/subfields/2604","display_name":"Applied Mathematics"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/spectral-estimation","display_name":"spectral estimation","score":0.9319999814033508},{"id":"https://openalex.org/keywords/factor-analysis","display_name":"factor analysis","score":0.8830000162124634},{"id":"https://openalex.org/keywords/multitaper-method","display_name":"multitaper method","score":0.7149999737739563},{"id":"https://openalex.org/keywords/subspace-estimation","display_name":"subspace estimation","score":0.8220000267028809},{"id":"https://openalex.org/keywords/stochastic-sources","display_name":"stochastic sources","score":0.7720000147819519},{"id":"https://openalex.org/keywords/noise-whitening","display_name":"noise whitening","score":0.7490000128746033},{"id":"https://openalex.org/keywords/cryo-electron-microscopy","display_name":"cryo-electron microscopy","score":0.8360000252723694}],"concepts":[{"id":"https://openalex.org/C2777067715","wikidata":"https://www.wikidata.org/wiki/Q3327726","display_name":"Multitaper","level":2,"score":0.9712345004081726},{"id":"https://openalex.org/C32834561","wikidata":"https://www.wikidata.org/wiki/Q660730","display_name":"Subspace topology","level":2,"score":0.8000112771987915},{"id":"https://openalex.org/C168110828","wikidata":"https://www.wikidata.org/wiki/Q1331626","display_name":"Spectral density","level":2,"score":0.7241214513778687},{"id":"https://openalex.org/C30049272","wikidata":"https://www.wikidata.org/wiki/Q6555326","display_name":"Spectral density estimation","level":3,"score":0.6024129390716553},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5953795313835144},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5580311417579651},{"id":"https://openalex.org/C156778621","wikidata":"https://www.wikidata.org/wiki/Q1365748","display_name":"Spectrum (functional analysis)","level":2,"score":0.5142647624015808},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5132098197937012},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.49281051754951477},{"id":"https://openalex.org/C96250715","wikidata":"https://www.wikidata.org/wiki/Q965330","display_name":"Estimation","level":2,"score":0.46528616547584534},{"id":"https://openalex.org/C203234222","wikidata":"https://www.wikidata.org/wiki/Q2133519","display_name":"Noise power","level":3,"score":0.41202133893966675},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.38109204173088074},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.34787216782569885},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.33021023869514465},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.28609931468963623},{"id":"https://openalex.org/C102519508","wikidata":"https://www.wikidata.org/wiki/Q6520159","display_name":"Fourier transform","level":2,"score":0.13871318101882935},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.1264040768146515},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.07605549693107605},{"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/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","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/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":7,"locations":[{"id":"doi:10.1109/sampta.2017.8024447","doi":"https://doi.org/10.1109/sampta.2017.8024447","is_oa":false,"landing_page_url":"https://doi.org/10.1109/sampta.2017.8024447","pdf_url":null,"source":{"id":"https://openalex.org/S4306419801","display_name":"International Conference on Sampling Theory and Applications","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 International Conference on Sampling Theory and Applications (SampTA)","raw_type":"proceedings-article"},{"id":"pmid:30854520","doi":null,"is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/30854520","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"... International Conference on Sampling Theory and Applications (SampTA). International Conference on Sampling Theory and Applications","raw_type":"Journal Article"},{"id":"pmh:oai:europepmc.org:5392676","doi":null,"is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/6405211","pdf_url":null,"source":{"id":"https://openalex.org/S4306400806","display_name":"Europe PMC (PubMed Central)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I1303153112","host_organization_name":"European Bioinformatics Institute","host_organization_lineage":["https://openalex.org/I1303153112"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":null,"raw_type":"Text"},{"id":"pmh:oai:pubmedcentral.nih.gov:6405211","doi":null,"is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/6405211","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"Int Conf Sampl Theory Appl SampTA","raw_type":"Text"},{"id":"pmh:oai:arXiv.org:1702.04672","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/1702.04672","pdf_url":"https://arxiv.org/pdf/1702.04672","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"mag:2588224366","doi":null,"is_oa":true,"landing_page_url":"https://arxiv.org/pdf/1702.04672.pdf","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"arXiv (Cornell University)","raw_type":null},{"id":"doi:10.48550/arxiv.1702.04672","doi":"https://doi.org/10.48550/arxiv.1702.04672","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.1702.04672","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"pmh:oai:europepmc.org:5392676","doi":null,"is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/6405211","pdf_url":null,"source":{"id":"https://openalex.org/S4306400806","display_name":"Europe PMC (PubMed Central)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I1303153112","host_organization_name":"European Bioinformatics Institute","host_organization_lineage":["https://openalex.org/I1303153112"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":null,"raw_type":"Text"},"sustainable_development_goals":[],"study_designs":[],"awards":[{"id":"https://openalex.org/G3276902854","display_name":"Improved Algorithms for Macromolecular Structure Determination by cyro-EM","funder_award_id":"R01GM090200","funder_id":"https://openalex.org/F4320337354","funder_display_name":"National Institute of General Medical Sciences"}],"funders":[{"id":"https://openalex.org/F4320306202","display_name":"Gordon and Betty Moore Foundation","ror":"https://ror.org/006wxqw41"},{"id":"https://openalex.org/F4320337354","display_name":"National Institute of General Medical Sciences","ror":"https://ror.org/04q48ey07"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2588224366.pdf","grobid_xml":"https://content.openalex.org/works/W2588224366.grobid-xml"},"referenced_works_count":21,"referenced_works":["https://openalex.org/W1483313280","https://openalex.org/W1492556495","https://openalex.org/W1514558801","https://openalex.org/W1993560512","https://openalex.org/W2017508876","https://openalex.org/W2021703585","https://openalex.org/W2068379746","https://openalex.org/W2103737089","https://openalex.org/W2104234755","https://openalex.org/W2109476464","https://openalex.org/W2128495200","https://openalex.org/W2134189568","https://openalex.org/W2138390185","https://openalex.org/W2155722796","https://openalex.org/W2263224228","https://openalex.org/W2285319343","https://openalex.org/W2316706700","https://openalex.org/W2503474997","https://openalex.org/W2603318838","https://openalex.org/W4252839115","https://openalex.org/W4292963524"],"related_works":["https://openalex.org/W71722512","https://openalex.org/W1122065","https://openalex.org/W2081807410","https://openalex.org/W2150133631","https://openalex.org/W3136361142","https://openalex.org/W2492381230","https://openalex.org/W2973521607","https://openalex.org/W3025675324","https://openalex.org/W1552012572","https://openalex.org/W1905970040"],"abstract_inverted_index":{"Power":[0],"spectrum":[1,72],"estimation":[2,78],"is":[3,39],"an":[4],"important":[5],"tool":[6],"in":[7],"many":[8],"applications,":[9],"such":[10,54],"as":[11],"the":[12,58,62],"whitening":[13],"of":[14,46,65],"noise.":[15],"The":[16],"popular":[17],"multitaper":[18],"method":[19,86],"enjoys":[20],"significant":[21],"success,":[22],"but":[23],"fails":[24],"for":[25,84],"short":[26],"signals":[27],"with":[28],"few":[29],"samples.":[30],"We":[31,80],"propose":[32],"a":[33,37,42],"statistical":[34],"model":[35],"where":[36],"signal":[38],"given":[40],"by":[41,61],"random":[43],"linear":[44],"combination":[45],"fixed,":[47],"yet":[48],"unknown,":[49],"stochastic":[50],"sources.":[51,68],"Given":[52],"multiple":[53],"signals,":[55],"we":[56],"estimate":[57],"subspace":[59,76],"spanned":[60],"power":[63,71],"spectra":[64],"these":[66],"fixed":[67],"Projecting":[69],"individual":[70],"estimates":[73],"onto":[74],"this":[75,85],"increases":[77],"accuracy.":[79],"provide":[81],"accuracy":[82],"guarantees":[83],"and":[87,92],"demonstrate":[88],"it":[89],"on":[90],"simulated":[91],"experimental":[93],"data":[94],"from":[95],"cryo-electron":[96],"microscopy.":[97]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":3},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1}],"updated_date":"2026-11-04T10:54:05.112534","created_date":"2017-02-24T00:00:00"}