{"id":"https://openalex.org/W2110770557","doi":"https://doi.org/10.1109/icassp.1982.1171707","title":"On the Fougere's maximum entropy spectral analysis method","display_name":"On the Fougere's maximum entropy spectral analysis method","publication_year":2005,"publication_date":"2005-03-24","ids":{"openalex":"https://openalex.org/W2110770557","doi":"https://doi.org/10.1109/icassp.1982.1171707","mag":"2110770557"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.1982.1171707","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.1982.1171707","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP '82. 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/A5080163994","display_name":"C. Chen","orcid":null},"institutions":[{"id":"https://openalex.org/I132801547","display_name":"Southeastern University","ror":"https://ror.org/01b25wz12","country_code":"US","type":"education","lineage":["https://openalex.org/I132801547"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"C. Chen","raw_affiliation_strings":["Electrical Engineering Department, Southeastern Massachusetts University, North Dartmouth, MA, USA","Southeastern Massachusetts University, North Dartmouth, Massachusetts, U.S.A"],"affiliations":[{"raw_affiliation_string":"Electrical Engineering Department, Southeastern Massachusetts University, North Dartmouth, MA, USA","institution_ids":["https://openalex.org/I132801547"]},{"raw_affiliation_string":"Southeastern Massachusetts University, North Dartmouth, Massachusetts, U.S.A","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5080163994"],"corresponding_institution_ids":["https://openalex.org/I132801547"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.19404486,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"7","issue":null,"first_page":"1028","last_page":"1029"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation Techniques","score":0.9944000244140625,"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"}},"topics":[{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation Techniques","score":0.9944000244140625,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9904000163078308,"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/T10320","display_name":"Neural Networks and Applications","score":0.9876999855041504,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/maximum-entropy-spectral-estimation","display_name":"Maximum entropy spectral estimation","score":0.7377920150756836},{"id":"https://openalex.org/keywords/spectral-analysis","display_name":"Spectral analysis","score":0.6656434535980225},{"id":"https://openalex.org/keywords/principle-of-maximum-entropy","display_name":"Principle of maximum entropy","score":0.6496917009353638},{"id":"https://openalex.org/keywords/nonlinear-system","display_name":"Nonlinear system","score":0.6179699897766113},{"id":"https://openalex.org/keywords/separable-space","display_name":"Separable space","score":0.5822509527206421},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.5663263201713562},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5410820841789246},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.47454699873924255},{"id":"https://openalex.org/keywords/signal-processing","display_name":"Signal processing","score":0.43341416120529175},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.3656654953956604},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.35950469970703125},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3479018211364746},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3472698926925659},{"id":"https://openalex.org/keywords/statistical-physics","display_name":"Statistical physics","score":0.3308120667934418},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.16500639915466309},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.16121160984039307},{"id":"https://openalex.org/keywords/digital-signal-processing","display_name":"Digital signal processing","score":0.15812429785728455},{"id":"https://openalex.org/keywords/quantum-mechanics","display_name":"Quantum mechanics","score":0.07449367642402649}],"concepts":[{"id":"https://openalex.org/C89735579","wikidata":"https://www.wikidata.org/wiki/Q6795894","display_name":"Maximum entropy spectral estimation","level":3,"score":0.7377920150756836},{"id":"https://openalex.org/C2983668108","wikidata":"https://www.wikidata.org/wiki/Q280453","display_name":"Spectral analysis","level":3,"score":0.6656434535980225},{"id":"https://openalex.org/C9679016","wikidata":"https://www.wikidata.org/wiki/Q1417473","display_name":"Principle of maximum entropy","level":2,"score":0.6496917009353638},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.6179699897766113},{"id":"https://openalex.org/C70710897","wikidata":"https://www.wikidata.org/wiki/Q680081","display_name":"Separable space","level":2,"score":0.5822509527206421},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.5663263201713562},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5410820841789246},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.47454699873924255},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.43341416120529175},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3656654953956604},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.35950469970703125},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3479018211364746},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3472698926925659},{"id":"https://openalex.org/C121864883","wikidata":"https://www.wikidata.org/wiki/Q677916","display_name":"Statistical physics","level":1,"score":0.3308120667934418},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.16500639915466309},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.16121160984039307},{"id":"https://openalex.org/C84462506","wikidata":"https://www.wikidata.org/wiki/Q173142","display_name":"Digital signal processing","level":2,"score":0.15812429785728455},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.07449367642402649},{"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/C32891209","wikidata":"https://www.wikidata.org/wiki/Q483666","display_name":"Spectroscopy","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp.1982.1171707","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.1982.1171707","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP '82. IEEE International Conference on Acoustics, Speech, and Signal Processing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":6,"referenced_works":["https://openalex.org/W1557177617","https://openalex.org/W1686368270","https://openalex.org/W1990376591","https://openalex.org/W2037319102","https://openalex.org/W2085209883","https://openalex.org/W2101345931"],"related_works":["https://openalex.org/W2132953787","https://openalex.org/W1966654446","https://openalex.org/W2073470747","https://openalex.org/W2039232173","https://openalex.org/W2161544911","https://openalex.org/W309135373","https://openalex.org/W2059889790","https://openalex.org/W2125829984","https://openalex.org/W1975612632","https://openalex.org/W2034921015"],"abstract_inverted_index":{"The":[0],"paper":[1],"will":[2],"review":[3],"the":[4,10,17,36],"theory":[5],"and":[6,13,30],"present":[7],"in":[8],"detail":[9],"properties,":[11],"implementation":[12],"experimental":[14],"results":[15],"of":[16],"nonlinear":[18],"maximum":[19],"entropy":[20],"spectral":[21],"analysis":[22],"method":[23],"proposed":[24],"by":[25],"P.F.":[26],"Fougere.":[27],"Both":[28],"real":[29],"complex":[31],"signals":[32,39],"as":[33,35],"well":[34],"two-dimensional":[37],"(separable)":[38],"are":[40],"considered.":[41],"Application":[42],"to":[43],"signal":[44],"recognition":[45],"is":[46],"also":[47],"examined.":[48]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}