{"id":"https://openalex.org/W2170785215","doi":"https://doi.org/10.1109/icassp.2009.4959629","title":"Parameter estimation of multidimensional NMR signals based on high-resolution subband analysis of 2D NMR projections","display_name":"Parameter estimation of multidimensional NMR signals based on high-resolution subband analysis of 2D NMR projections","publication_year":2009,"publication_date":"2009-04-01","ids":{"openalex":"https://openalex.org/W2170785215","doi":"https://doi.org/10.1109/icassp.2009.4959629","mag":"2170785215"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2009.4959629","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2009.4959629","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 IEEE International Conference on Acoustics, Speech and Signal Processing","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/A5044267089","display_name":"Irene Yu\u2010Hua Gu","orcid":"https://orcid.org/0000-0003-4759-7038"},"institutions":[{"id":"https://openalex.org/I66862912","display_name":"Chalmers University of Technology","ror":"https://ror.org/040wg7k59","country_code":"SE","type":"education","lineage":["https://openalex.org/I66862912"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"I.Y.H. Gu","raw_affiliation_strings":["Department of Signals and Systems, Chalmers University of Technology, Gothenburg, Sweden"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Signals and Systems, Chalmers University of Technology, Gothenburg, Sweden","institution_ids":["https://openalex.org/I66862912"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064342193","display_name":"Martin Billeter","orcid":"https://orcid.org/0000-0003-0830-348X"},"institutions":[{"id":"https://openalex.org/I881427289","display_name":"University of Gothenburg","ror":"https://ror.org/01tm6cn81","country_code":"SE","type":"education","lineage":["https://openalex.org/I881427289"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"M. Billeter","raw_affiliation_strings":["Department of Chemistry, University of Gothenburg, Gothenburg, Sweden"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Chemistry, University of Gothenburg, Gothenburg, Sweden","institution_ids":["https://openalex.org/I881427289"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006616450","display_name":"Mohammad Reza Sharafy","orcid":null},"institutions":[{"id":"https://openalex.org/I66862912","display_name":"Chalmers University of Technology","ror":"https://ror.org/040wg7k59","country_code":"SE","type":"education","lineage":["https://openalex.org/I66862912"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"M.R. Sharafy","raw_affiliation_strings":["Department of Signals and Systems, Chalmers University of Technology, Gothenburg, Sweden"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Signals and Systems, Chalmers University of Technology, Gothenburg, Sweden","institution_ids":["https://openalex.org/I66862912"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084292358","display_name":"Vahid Anhari Sorkhabi","orcid":null},"institutions":[{"id":"https://openalex.org/I66862912","display_name":"Chalmers University of Technology","ror":"https://ror.org/040wg7k59","country_code":"SE","type":"education","lineage":["https://openalex.org/I66862912"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"V.A. Sorkhabi","raw_affiliation_strings":["Department of Signals and Systems, Chalmers University of Technology, Gothenburg, Sweden"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Signals and Systems, Chalmers University of Technology, Gothenburg, Sweden","institution_ids":["https://openalex.org/I66862912"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012623700","display_name":"Jonas Fredriksson","orcid":"https://orcid.org/0000-0002-9814-6416"},"institutions":[{"id":"https://openalex.org/I881427289","display_name":"University of Gothenburg","ror":"https://ror.org/01tm6cn81","country_code":"SE","type":"education","lineage":["https://openalex.org/I881427289"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"J. Fredriksson","raw_affiliation_strings":["Department of Chemistry, University of Gothenburg, Gothenburg, Sweden"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Chemistry, University of Gothenburg, Gothenburg, Sweden","institution_ids":["https://openalex.org/I881427289"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5066805392","display_name":"Doroteya K. Staykova","orcid":"https://orcid.org/0000-0002-8398-3043"},"institutions":[{"id":"https://openalex.org/I881427289","display_name":"University of Gothenburg","ror":"https://ror.org/01tm6cn81","country_code":"SE","type":"education","lineage":["https://openalex.org/I881427289"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"D.K. Staykova","raw_affiliation_strings":["Department of Chemistry, University of Gothenburg, Gothenburg, Sweden"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Chemistry, University of Gothenburg, Gothenburg, Sweden","institution_ids":["https://openalex.org/I881427289"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.8475,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.93107129,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"42","issue":null,"first_page":"497","last_page":"500"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12603","display_name":"NMR spectroscopy and applications","score":0.9988999962806702,"subfield":{"id":"https://openalex.org/subfields/3106","display_name":"Nuclear and High Energy Physics"},"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/T12603","display_name":"NMR spectroscopy and applications","score":0.9988999962806702,"subfield":{"id":"https://openalex.org/subfields/3106","display_name":"Nuclear and High Energy Physics"},"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/T11447","display_name":"Blind Source Separation Techniques","score":0.9962000250816345,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T10378","display_name":"Advanced MRI Techniques and Applications","score":0.9901999831199646,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/nuclear-magnetic-resonance-spectroscopy","display_name":"Nuclear magnetic resonance spectroscopy","score":0.6217927932739258},{"id":"https://openalex.org/keywords/projection","display_name":"Projection (relational algebra)","score":0.6194100975990295},{"id":"https://openalex.org/keywords/resolution","display_name":"Resolution (logic)","score":0.6080644130706787},{"id":"https://openalex.org/keywords/spectroscopy","display_name":"Spectroscopy","score":0.5731213092803955},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.563931941986084},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.4857078492641449},{"id":"https://openalex.org/keywords/biological-system","display_name":"Biological system","score":0.4759804308414459},{"id":"https://openalex.org/keywords/high-resolution","display_name":"High resolution","score":0.4753917455673218},{"id":"https://openalex.org/keywords/signal-processing","display_name":"Signal processing","score":0.4487510919570923},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.440960556268692},{"id":"https://openalex.org/keywords/two-dimensional-nuclear-magnetic-resonance-spectroscopy","display_name":"Two-dimensional nuclear magnetic resonance spectroscopy","score":0.43863701820373535},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.43796902894973755},{"id":"https://openalex.org/keywords/nmr-spectra-database","display_name":"NMR spectra database","score":0.41927826404571533},{"id":"https://openalex.org/keywords/computational-physics","display_name":"Computational physics","score":0.3949543833732605},{"id":"https://openalex.org/keywords/analytical-chemistry","display_name":"Analytical Chemistry (journal)","score":0.3496331572532654},{"id":"https://openalex.org/keywords/spectral-line","display_name":"Spectral line","score":0.3495069444179535},{"id":"https://openalex.org/keywords/chemistry","display_name":"Chemistry","score":0.3169761896133423},{"id":"https://openalex.org/keywords/nuclear-magnetic-resonance","display_name":"Nuclear magnetic resonance","score":0.30256372690200806},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.21356546878814697},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.1912558376789093},{"id":"https://openalex.org/keywords/digital-signal-processing","display_name":"Digital signal processing","score":0.16294831037521362},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.0780421793460846},{"id":"https://openalex.org/keywords/chromatography","display_name":"Chromatography","score":0.06964975595474243}],"concepts":[{"id":"https://openalex.org/C66974803","wikidata":"https://www.wikidata.org/wiki/Q10359898","display_name":"Nuclear magnetic resonance spectroscopy","level":2,"score":0.6217927932739258},{"id":"https://openalex.org/C57493831","wikidata":"https://www.wikidata.org/wiki/Q3134666","display_name":"Projection (relational algebra)","level":2,"score":0.6194100975990295},{"id":"https://openalex.org/C138268822","wikidata":"https://www.wikidata.org/wiki/Q1051925","display_name":"Resolution (logic)","level":2,"score":0.6080644130706787},{"id":"https://openalex.org/C32891209","wikidata":"https://www.wikidata.org/wiki/Q483666","display_name":"Spectroscopy","level":2,"score":0.5731213092803955},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.563931941986084},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.4857078492641449},{"id":"https://openalex.org/C186060115","wikidata":"https://www.wikidata.org/wiki/Q30336093","display_name":"Biological system","level":1,"score":0.4759804308414459},{"id":"https://openalex.org/C3020199158","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"High resolution","level":2,"score":0.4753917455673218},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.4487510919570923},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.440960556268692},{"id":"https://openalex.org/C19549132","wikidata":"https://www.wikidata.org/wiki/Q11141463","display_name":"Two-dimensional nuclear magnetic resonance spectroscopy","level":2,"score":0.43863701820373535},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.43796902894973755},{"id":"https://openalex.org/C67787023","wikidata":"https://www.wikidata.org/wiki/Q6954755","display_name":"NMR spectra database","level":3,"score":0.41927826404571533},{"id":"https://openalex.org/C30475298","wikidata":"https://www.wikidata.org/wiki/Q909554","display_name":"Computational physics","level":1,"score":0.3949543833732605},{"id":"https://openalex.org/C113196181","wikidata":"https://www.wikidata.org/wiki/Q485223","display_name":"Analytical Chemistry (journal)","level":2,"score":0.3496331572532654},{"id":"https://openalex.org/C4839761","wikidata":"https://www.wikidata.org/wiki/Q212111","display_name":"Spectral line","level":2,"score":0.3495069444179535},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.3169761896133423},{"id":"https://openalex.org/C46141821","wikidata":"https://www.wikidata.org/wiki/Q209402","display_name":"Nuclear magnetic resonance","level":1,"score":0.30256372690200806},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.21356546878814697},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.1912558376789093},{"id":"https://openalex.org/C84462506","wikidata":"https://www.wikidata.org/wiki/Q173142","display_name":"Digital signal processing","level":2,"score":0.16294831037521362},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.0780421793460846},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.06964975595474243},{"id":"https://openalex.org/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","level":1,"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/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"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/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","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}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/icassp.2009.4959629","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2009.4959629","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 IEEE International Conference on Acoustics, Speech and Signal Processing","raw_type":"proceedings-article"},{"id":"pmh:oai:publications.lib.chalmers.se:89548","is_oa":false,"landing_page_url":"http://publications.lib.chalmers.se/publication/89548-parameter-estimation-of-multidimensional-nmr-signals-based-on-high-resolution-subband-analysis-of-2d","pdf_url":null,"source":{"id":"https://openalex.org/S4377196470","display_name":"Chalmers Publication Library (Chalmers University of Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I66862912","host_organization_name":"Chalmers University of Technology","host_organization_lineage":["https://openalex.org/I66862912"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Text.Article.Conference.PeerReviewed"},{"id":"pmh:oai:research.chalmers.se:89548","is_oa":false,"landing_page_url":"https://research.chalmers.se/en/publication/89548","pdf_url":null,"source":{"id":"https://openalex.org/S4306402469","display_name":"Chalmers Research (Chalmers University of Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I66862912","host_organization_name":"Chalmers University of Technology","host_organization_lineage":["https://openalex.org/I66862912"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W1986307464","https://openalex.org/W1986915985","https://openalex.org/W2020398073","https://openalex.org/W2049927341","https://openalex.org/W2105233799","https://openalex.org/W2134144792","https://openalex.org/W2907608688","https://openalex.org/W2990335851"],"related_works":["https://openalex.org/W3150982967","https://openalex.org/W2326933693","https://openalex.org/W2054167298","https://openalex.org/W3132524796","https://openalex.org/W1534409966","https://openalex.org/W2619285474","https://openalex.org/W2152961338","https://openalex.org/W1599055883","https://openalex.org/W2314560140","https://openalex.org/W4252975506"],"abstract_inverted_index":{"NMR":[0,28,78,111,133],"spectroscopy":[1,118],"is":[2],"a":[3,31,70,83],"powerful":[4],"technique":[5],"used":[6],"in":[7,130],"protein":[8,27],"research":[9],"for":[10,99],"comprehensive":[11],"functional":[12],"characterizations,":[13],"e.g.":[14],"structure":[15],"determination":[16],"at":[17],"atomic":[18],"resolution.":[19],"Due":[20],"to":[21,53,92,120,167],"the":[22,44,60,106,137,145,160,163,172],"molecular":[23],"size":[24],"(typically\u226b1000":[25],"atoms),":[26],"spectra":[29],"contain":[30],"large":[32],"number":[33,45],"of":[34,46,72,85,101,142,147,162,171],"signal":[35,102],"frequencies.":[36],"Resolving":[37],"these":[38],"requires":[39],"high-dimensional":[40],"spectroscopy.":[41],"However,":[42],"when":[43],"frequency":[47],"exceeds":[48],"three,":[49],"conventional":[50,131,178],"approaches":[51],"start":[52],"demand":[54],"unrealistic":[55],"long":[56],"experiment":[57,143],"time,":[58,144],"and":[59,96,113,169],"data":[61],"analysis":[62],"becomes":[63],"challenging.":[64],"In":[65],"this":[66],"paper":[67],"we":[68],"explore":[69],"combination":[71],"novel":[73],"methods:":[74],"Data":[75],"from":[76],"5D":[77,110,132],"experiments":[79],"are":[80,89],"recorded":[81],"as":[82,125,175],"series":[84],"2D":[86,93,97,115],"projections,":[87],"which":[88],"then":[90],"subjected":[91],"subband":[94],"filters":[95],"LS-ESPRIT":[98],"estimation":[100],"parameters.":[103],"Based":[104],"on":[105],"relations":[107],"established":[108],"between":[109],"signals":[112],"their":[114],"counterparts,":[116],"projection":[117],"allows":[119],"extract":[121],"highly":[122],"similar":[123],"information":[124],"what":[126],"would":[127,139],"be":[128,152],"found":[129],"experiments;":[134],"however,":[135],"while":[136],"latter":[138],"require":[140],"months":[141],"recording":[146],"all":[148],"necessary":[149],"projections":[150],"can":[151],"accomplished":[153],"within":[154],"1\u20132":[155],"days.":[156],"Preliminary":[157],"results":[158],"show":[159],"efficiency":[161],"method":[164],"with":[165,177],"respect":[166],"accuracy":[168],"resolution":[170],"parameter":[173],"estimates":[174],"compared":[176],"methods.":[179]},"counts_by_year":[{"year":2016,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}