{"id":"https://openalex.org/W2139100865","doi":"https://doi.org/10.1109/icassp.2003.1201714","title":"Consistent time-frequency representations","display_name":"Consistent time-frequency representations","publication_year":2004,"publication_date":"2004-03-22","ids":{"openalex":"https://openalex.org/W2139100865","doi":"https://doi.org/10.1109/icassp.2003.1201714","mag":"2139100865"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2003.1201714","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2003.1201714","pdf_url":null,"source":{"id":"https://openalex.org/S4363608982","display_name":"2003 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03).","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"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":"2003 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03).","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/A5029246939","display_name":"D.S. Roberts","orcid":null},"institutions":[{"id":"https://openalex.org/I157725225","display_name":"University of Illinois Urbana-Champaign","ror":"https://ror.org/047426m28","country_code":"US","type":"education","lineage":["https://openalex.org/I157725225"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"D.S. Roberts","raw_affiliation_strings":["Coordinated Science Laboratory, University of Illinois, Urbana-Champaign, IL, USA","[Coordinated Sci. Lab, Illinois Univ., Urbana, IL, USA]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Coordinated Science Laboratory, University of Illinois, Urbana-Champaign, IL, USA","institution_ids":["https://openalex.org/I157725225"]},{"raw_affiliation_string":"[Coordinated Sci. Lab, Illinois Univ., Urbana, IL, USA]","institution_ids":["https://openalex.org/I157725225"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5105462806","display_name":"Douglas L. Jones","orcid":"https://orcid.org/0000-0002-7817-7629"},"institutions":[{"id":"https://openalex.org/I157725225","display_name":"University of Illinois Urbana-Champaign","ror":"https://ror.org/047426m28","country_code":"US","type":"education","lineage":["https://openalex.org/I157725225"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"D.L. Jones","raw_affiliation_strings":["Coordinated Science Laboratory, University of Illinois, Urbana-Champaign, IL, USA","[Coordinated Sci. Lab, Illinois Univ., Urbana, IL, USA]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Coordinated Science Laboratory, University of Illinois, Urbana-Champaign, IL, USA","institution_ids":["https://openalex.org/I157725225"]},{"raw_affiliation_string":"[Coordinated Sci. Lab, Illinois Univ., Urbana, IL, USA]","institution_ids":["https://openalex.org/I157725225"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I157725225"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"1","issue":null,"first_page":"VI","last_page":"445"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9922000169754028,"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"}},"topics":[{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9922000169754028,"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/T10876","display_name":"Fault Detection and Control Systems","score":0.9902999997138977,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"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/T10220","display_name":"Machine Fault Diagnosis Techniques","score":0.9901999831199646,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/spectrogram","display_name":"Spectrogram","score":0.8549219965934753},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.7319213151931763},{"id":"https://openalex.org/keywords/time\u2013frequency-analysis","display_name":"Time\u2013frequency analysis","score":0.6633033156394958},{"id":"https://openalex.org/keywords/variety","display_name":"Variety (cybernetics)","score":0.6148464679718018},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6055910587310791},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.597678542137146},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.582944393157959},{"id":"https://openalex.org/keywords/energy","display_name":"Energy (signal processing)","score":0.566002368927002},{"id":"https://openalex.org/keywords/time\u2013frequency-representation","display_name":"Time\u2013frequency representation","score":0.5658782124519348},{"id":"https://openalex.org/keywords/projection","display_name":"Projection (relational algebra)","score":0.5027961730957031},{"id":"https://openalex.org/keywords/resolution","display_name":"Resolution (logic)","score":0.44196557998657227},{"id":"https://openalex.org/keywords/optimization-problem","display_name":"Optimization problem","score":0.4403200149536133},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.302411824464798},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.27837806940078735},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.12139737606048584},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.0989951491355896}],"concepts":[{"id":"https://openalex.org/C45273575","wikidata":"https://www.wikidata.org/wiki/Q578970","display_name":"Spectrogram","level":2,"score":0.8549219965934753},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.7319213151931763},{"id":"https://openalex.org/C142433447","wikidata":"https://www.wikidata.org/wiki/Q7806653","display_name":"Time\u2013frequency analysis","level":3,"score":0.6633033156394958},{"id":"https://openalex.org/C136197465","wikidata":"https://www.wikidata.org/wiki/Q1729295","display_name":"Variety (cybernetics)","level":2,"score":0.6148464679718018},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6055910587310791},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.597678542137146},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.582944393157959},{"id":"https://openalex.org/C186370098","wikidata":"https://www.wikidata.org/wiki/Q442787","display_name":"Energy (signal processing)","level":2,"score":0.566002368927002},{"id":"https://openalex.org/C124062153","wikidata":"https://www.wikidata.org/wiki/Q7806645","display_name":"Time\u2013frequency representation","level":4,"score":0.5658782124519348},{"id":"https://openalex.org/C57493831","wikidata":"https://www.wikidata.org/wiki/Q3134666","display_name":"Projection (relational algebra)","level":2,"score":0.5027961730957031},{"id":"https://openalex.org/C138268822","wikidata":"https://www.wikidata.org/wiki/Q1051925","display_name":"Resolution (logic)","level":2,"score":0.44196557998657227},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.4403200149536133},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.302411824464798},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.27837806940078735},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.12139737606048584},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0989951491355896},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp.2003.1201714","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2003.1201714","pdf_url":null,"source":{"id":"https://openalex.org/S4363608982","display_name":"2003 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03).","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"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":"2003 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03).","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","score":0.9100000262260437,"id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W1748781604","https://openalex.org/W1925346143","https://openalex.org/W2078685049","https://openalex.org/W2080169805","https://openalex.org/W2095833639","https://openalex.org/W2110017348","https://openalex.org/W2114674502","https://openalex.org/W2116416551","https://openalex.org/W2581656983","https://openalex.org/W6733000524"],"related_works":["https://openalex.org/W1889291648","https://openalex.org/W2533590149","https://openalex.org/W335396218","https://openalex.org/W1504214173","https://openalex.org/W1600447354","https://openalex.org/W2035480840","https://openalex.org/W2602361891","https://openalex.org/W2107964963","https://openalex.org/W1589126043","https://openalex.org/W2106879069"],"abstract_inverted_index":{"The":[0,55,74],"paper":[1],"develops":[2],"nonnegative,":[3,79],"high-resolution":[4],"time-frequency":[5],"representations":[6],"(TFRs)":[7],"that":[8,82],"correspond":[9],"with":[10,27],"intuitive":[11],"notions":[12],"of":[13,30,68],"energy":[14,32],"distribution.":[15],"These":[16],"so-called":[17],"consistent":[18,26,56],"TFRs":[19],"require":[20],"the":[21,36,40],"desired":[22,37],"representation":[23,38],"to":[24,42,62,85],"be":[25,49,86],"a":[28,43,52,66,77],"set":[29],"spectrogram-based":[31],"measurements.":[33],"By":[34],"formulating":[35],"as":[39],"solution":[41],"constrained":[44],"optimization":[45],"problem,":[46],"it":[47],"can":[48],"solved":[50],"using":[51],"gradient-projection":[53],"technique.":[54],"TFR":[57,81],"demonstrates":[58],"superior":[59],"performance":[60],"compared":[61],"existing":[63],"techniques":[64],"on":[65],"variety":[67],"test":[69],"signals":[70],"and":[71],"biological":[72],"data.":[73],"result":[75],"is":[76],"high-resolution,":[78],"intuitively-satisfying":[80],"should":[83],"prove":[84],"an":[87],"excellent":[88],"tool":[89],"for":[90],"exploratory":[91],"data":[92],"analysis.":[93]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}