{"id":"https://openalex.org/W2008801892","doi":"https://doi.org/10.1109/icassp.2009.4959765","title":"Higher order Teager-Kaiser operators for image analysis: Part I - A monocomponent image demodulation","display_name":"Higher order Teager-Kaiser operators for image analysis: Part I - A monocomponent image demodulation","publication_year":2009,"publication_date":"2009-04-01","ids":{"openalex":"https://openalex.org/W2008801892","doi":"https://doi.org/10.1109/icassp.2009.4959765","mag":"2008801892"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2009.4959765","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2009.4959765","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":"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/A5045772729","display_name":"El Hadji S. Diop","orcid":"https://orcid.org/0000-0001-7554-9952"},"institutions":[{"id":"https://openalex.org/I2801296886","display_name":"Institut de Recherche de l\u2019\u00c9cole Navale","ror":"https://ror.org/01v6shv96","country_code":"FR","type":"facility","lineage":["https://openalex.org/I183158303","https://openalex.org/I190752583","https://openalex.org/I190861549","https://openalex.org/I2801296886","https://openalex.org/I4210134562"]},{"id":"https://openalex.org/I183158303","display_name":"\u00c9cole Navale","ror":"https://ror.org/030txnd05","country_code":"FR","type":"education","lineage":["https://openalex.org/I183158303"]}],"countries":["FR"],"is_corresponding":true,"raw_author_name":"El Hadji S. Diop","raw_affiliation_strings":["Ecole Navale IRENav / EI-EA3876, Groupe ASM, Brest-Armees, France","Groupe ASM, Ecole Navale, IRENav / E3I2-EA3876, ENSIETA, Ecole Navale, Lanv\u00e9oc-Poulmic, 29240 Brest-Arm\u00e9es, France#TAB#"],"affiliations":[{"raw_affiliation_string":"Ecole Navale IRENav / EI-EA3876, Groupe ASM, Brest-Armees, France","institution_ids":["https://openalex.org/I183158303","https://openalex.org/I2801296886"]},{"raw_affiliation_string":"Groupe ASM, Ecole Navale, IRENav / E3I2-EA3876, ENSIETA, Ecole Navale, Lanv\u00e9oc-Poulmic, 29240 Brest-Arm\u00e9es, France#TAB#","institution_ids":["https://openalex.org/I183158303"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004893718","display_name":"Abdel\u2010Ouahab Boudraa","orcid":"https://orcid.org/0000-0002-1864-2859"},"institutions":[{"id":"https://openalex.org/I183158303","display_name":"\u00c9cole Navale","ror":"https://ror.org/030txnd05","country_code":"FR","type":"education","lineage":["https://openalex.org/I183158303"]},{"id":"https://openalex.org/I2801296886","display_name":"Institut de Recherche de l\u2019\u00c9cole Navale","ror":"https://ror.org/01v6shv96","country_code":"FR","type":"facility","lineage":["https://openalex.org/I183158303","https://openalex.org/I190752583","https://openalex.org/I190861549","https://openalex.org/I2801296886","https://openalex.org/I4210134562"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"A. O. Boudraa","raw_affiliation_strings":["Ecole Navale IRENav / EI-EA3876, Groupe ASM, Brest-Armees, France","Groupe ASM, Ecole Navale, IRENav / E3I2-EA3876, ENSIETA, Ecole Navale, Lanv\u00e9oc-Poulmic, 29240 Brest-Arm\u00e9es, France#TAB#"],"affiliations":[{"raw_affiliation_string":"Ecole Navale IRENav / EI-EA3876, Groupe ASM, Brest-Armees, France","institution_ids":["https://openalex.org/I183158303","https://openalex.org/I2801296886"]},{"raw_affiliation_string":"Groupe ASM, Ecole Navale, IRENav / E3I2-EA3876, ENSIETA, Ecole Navale, Lanv\u00e9oc-Poulmic, 29240 Brest-Arm\u00e9es, France#TAB#","institution_ids":["https://openalex.org/I183158303"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5059637695","display_name":"F. Salzenstein","orcid":null},"institutions":[{"id":"https://openalex.org/I68947357","display_name":"Universit\u00e9 de Strasbourg","ror":"https://ror.org/00pg6eq24","country_code":"FR","type":"education","lineage":["https://openalex.org/I68947357"]},{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"funder","lineage":["https://openalex.org/I1294671590"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Fabien Salzenstein","raw_affiliation_strings":["Laboratoire Iness, CNRS/STIC-UPR Universite Louis Pasteur, Strasbourg Cedex 2, France","Laboratoire Iness, CNRS/STIC-UPR, Universit\u00e9 Louis Pasteur, 23 rue du Loess, BP 20 CR, 67037 Strasbourg Cedex 2, France#TAB#"],"affiliations":[{"raw_affiliation_string":"Laboratoire Iness, CNRS/STIC-UPR Universite Louis Pasteur, Strasbourg Cedex 2, France","institution_ids":["https://openalex.org/I68947357","https://openalex.org/I1294671590"]},{"raw_affiliation_string":"Laboratoire Iness, CNRS/STIC-UPR, Universit\u00e9 Louis Pasteur, 23 rue du Loess, BP 20 CR, 67037 Strasbourg Cedex 2, France#TAB#","institution_ids":["https://openalex.org/I1294671590"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5045772729"],"corresponding_institution_ids":["https://openalex.org/I183158303","https://openalex.org/I2801296886"],"apc_list":null,"apc_paid":null,"fwci":0.3236,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.57845775,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1041","last_page":"1044"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9990000128746033,"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":0.9990000128746033,"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/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9980999827384949,"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/T11698","display_name":"Underwater Acoustics Research","score":0.9958000183105469,"subfield":{"id":"https://openalex.org/subfields/1910","display_name":"Oceanography"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/demodulation","display_name":"Demodulation","score":0.9066900014877319},{"id":"https://openalex.org/keywords/narrowband","display_name":"Narrowband","score":0.6616708040237427},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6087832450866699},{"id":"https://openalex.org/keywords/energy-operator","display_name":"Energy operator","score":0.5873503684997559},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5529923439025879},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5444499254226685},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5221900343894958},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.48876261711120605},{"id":"https://openalex.org/keywords/amplitude","display_name":"Amplitude","score":0.46858733892440796},{"id":"https://openalex.org/keywords/sonar","display_name":"Sonar","score":0.4685315489768982},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.37052029371261597},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3598949909210205},{"id":"https://openalex.org/keywords/energy","display_name":"Energy (signal processing)","score":0.3082054853439331},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.1872660219669342},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.09254699945449829},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.08016976714134216}],"concepts":[{"id":"https://openalex.org/C195251586","wikidata":"https://www.wikidata.org/wiki/Q1185939","display_name":"Demodulation","level":3,"score":0.9066900014877319},{"id":"https://openalex.org/C2776096036","wikidata":"https://www.wikidata.org/wiki/Q1140483","display_name":"Narrowband","level":2,"score":0.6616708040237427},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6087832450866699},{"id":"https://openalex.org/C19579662","wikidata":"https://www.wikidata.org/wiki/Q461145","display_name":"Energy operator","level":3,"score":0.5873503684997559},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5529923439025879},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5444499254226685},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5221900343894958},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.48876261711120605},{"id":"https://openalex.org/C180205008","wikidata":"https://www.wikidata.org/wiki/Q159190","display_name":"Amplitude","level":2,"score":0.46858733892440796},{"id":"https://openalex.org/C555745239","wikidata":"https://www.wikidata.org/wiki/Q133220","display_name":"Sonar","level":2,"score":0.4685315489768982},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.37052029371261597},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3598949909210205},{"id":"https://openalex.org/C186370098","wikidata":"https://www.wikidata.org/wiki/Q442787","display_name":"Energy (signal processing)","level":2,"score":0.3082054853439331},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.1872660219669342},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.09254699945449829},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.08016976714134216},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"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":1,"locations":[{"id":"doi:10.1109/icassp.2009.4959765","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2009.4959765","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"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","score":0.5799999833106995,"display_name":"Affordable and clean energy"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320310179","display_name":"University of Oklahoma","ror":"https://ror.org/02aqsxs83"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W178373938","https://openalex.org/W1538482441","https://openalex.org/W1580963329","https://openalex.org/W1987150252","https://openalex.org/W2106090308","https://openalex.org/W2114537326","https://openalex.org/W2117752214","https://openalex.org/W2119943055","https://openalex.org/W2121011185","https://openalex.org/W2129292398","https://openalex.org/W2152862099","https://openalex.org/W2157000920","https://openalex.org/W2168677825","https://openalex.org/W4301645274","https://openalex.org/W6685265268"],"related_works":["https://openalex.org/W1996543123","https://openalex.org/W4388516297","https://openalex.org/W2010761432","https://openalex.org/W4389302182","https://openalex.org/W2089955640","https://openalex.org/W4229074657","https://openalex.org/W2392802231","https://openalex.org/W2000711930","https://openalex.org/W2142218591","https://openalex.org/W2106977319"],"abstract_inverted_index":{"We":[0,23,125],"present":[1],"in":[2,31,41,117,133],"this":[3],"paper":[4],"a":[5,36],"new":[6],"narrowband":[7],"image":[8,53],"demodulation":[9,39,82],"method.":[10,55,90],"Our":[11],"approach":[12],"is":[13,103,140],"based":[14],"on":[15,67],"the":[16,26,32,38,44,51,64,69,72,85,88,97,101,107,113,121,128],"2D":[17],"higher":[18,29],"order":[19],"Teager-Kaiser":[20,33],"operators":[21],"(HOTKO).":[22],"show":[24,62,126],"that":[25,63,95,110],"introduction":[27],"of":[28,123],"orders":[30],"operator,":[34],"improves":[35],"lot":[37],"results,":[40],"comparison":[42],"to":[43],"discrete":[45],"energy":[46],"separation":[47],"algorithm":[48,102,129],"(DESA)":[49],"and":[50,71,87,119,146],"analytic":[52],"(AI)":[54],"More":[56],"precisely,":[57],"for":[58,96,136,143],"synthetic":[59],"images,":[60,100,118],"we":[61],"approximation":[65],"errors":[66],"both":[68,144],"amplitude":[70,108],"frequency":[73],"components":[74],"are":[75],"much":[76],"more":[77],"lower":[78],"with":[79],"our":[80],"proposed":[81],"method":[83],"than":[84],"DESA":[86],"AI":[89],"Moreover,":[91],"it":[92,111],"turns":[93],"out":[94],"presented":[98],"real":[99],"so":[104],"efficient,":[105],"especially":[106],"counterpart,":[109],"tracks":[112],"most":[114],"important":[115,142],"parts":[116],"segments":[120],"regions":[122],"interest.":[124],"how":[127],"could":[130],"be":[131],"used":[132],"sonar":[134],"images":[135],"extracting":[137],"mines'shadows,":[138],"which":[139],"very":[141],"military":[145],"civil":[147],"applications.":[148]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
