{"id":"https://openalex.org/W1937210511","doi":"https://doi.org/10.1109/icassp.1985.1168259","title":"Spectrum model-order determination via significant reflection coefficients","display_name":"Spectrum model-order determination via significant reflection coefficients","publication_year":2005,"publication_date":"2005-03-23","ids":{"openalex":"https://openalex.org/W1937210511","doi":"https://doi.org/10.1109/icassp.1985.1168259","mag":"1937210511"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.1985.1168259","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.1985.1168259","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP '85. 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/A5039458429","display_name":"Paul F. Foug\u00e8re","orcid":null},"institutions":[{"id":"https://openalex.org/I2800186634","display_name":"Hanscom Air Force Base","ror":"https://ror.org/03fvtr511","country_code":"US","type":"government","lineage":["https://openalex.org/I1330347796","https://openalex.org/I2800186634","https://openalex.org/I4210089612","https://openalex.org/I4210102105"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"P. Fougere","raw_affiliation_strings":["Air Force Geophysics Laboratory, MA, USA","Air Force Geophysics Laboratory, Hanscom AFB, MA"],"affiliations":[{"raw_affiliation_string":"Air Force Geophysics Laboratory, MA, USA","institution_ids":["https://openalex.org/I2800186634"]},{"raw_affiliation_string":"Air Force Geophysics Laboratory, Hanscom AFB, MA","institution_ids":["https://openalex.org/I2800186634"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5039458429"],"corresponding_institution_ids":["https://openalex.org/I2800186634"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.09093221,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"10","issue":null,"first_page":"1345","last_page":"1347"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12300","display_name":"Advanced Electrical Measurement Techniques","score":0.996399998664856,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"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/T12300","display_name":"Advanced Electrical Measurement Techniques","score":0.996399998664856,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9846000075340271,"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/T10323","display_name":"Analog and Mixed-Signal Circuit Design","score":0.982200026512146,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical 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/autoregressive-model","display_name":"Autoregressive model","score":0.8481284379959106},{"id":"https://openalex.org/keywords/maximum-entropy-spectral-estimation","display_name":"Maximum entropy spectral estimation","score":0.7705082893371582},{"id":"https://openalex.org/keywords/autocorrelation","display_name":"Autocorrelation","score":0.7591201066970825},{"id":"https://openalex.org/keywords/spectral-density","display_name":"Spectral density","score":0.5582705736160278},{"id":"https://openalex.org/keywords/principle-of-maximum-entropy","display_name":"Principle of maximum entropy","score":0.550347089767456},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.5483478307723999},{"id":"https://openalex.org/keywords/spectral-line","display_name":"Spectral line","score":0.5393220782279968},{"id":"https://openalex.org/keywords/reflection","display_name":"Reflection (computer programming)","score":0.4855673015117645},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.42488592863082886},{"id":"https://openalex.org/keywords/statistical-physics","display_name":"Statistical physics","score":0.38867196440696716},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.34504324197769165},{"id":"https://openalex.org/keywords/computational-physics","display_name":"Computational physics","score":0.32984310388565063},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.29207128286361694},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.19601362943649292},{"id":"https://openalex.org/keywords/thermodynamics","display_name":"Thermodynamics","score":0.10193386673927307}],"concepts":[{"id":"https://openalex.org/C159877910","wikidata":"https://www.wikidata.org/wiki/Q2202883","display_name":"Autoregressive model","level":2,"score":0.8481284379959106},{"id":"https://openalex.org/C89735579","wikidata":"https://www.wikidata.org/wiki/Q6795894","display_name":"Maximum entropy spectral estimation","level":3,"score":0.7705082893371582},{"id":"https://openalex.org/C5297727","wikidata":"https://www.wikidata.org/wiki/Q786970","display_name":"Autocorrelation","level":2,"score":0.7591201066970825},{"id":"https://openalex.org/C168110828","wikidata":"https://www.wikidata.org/wiki/Q1331626","display_name":"Spectral density","level":2,"score":0.5582705736160278},{"id":"https://openalex.org/C9679016","wikidata":"https://www.wikidata.org/wiki/Q1417473","display_name":"Principle of maximum entropy","level":2,"score":0.550347089767456},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.5483478307723999},{"id":"https://openalex.org/C4839761","wikidata":"https://www.wikidata.org/wiki/Q212111","display_name":"Spectral line","level":2,"score":0.5393220782279968},{"id":"https://openalex.org/C65682993","wikidata":"https://www.wikidata.org/wiki/Q1056451","display_name":"Reflection (computer programming)","level":2,"score":0.4855673015117645},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.42488592863082886},{"id":"https://openalex.org/C121864883","wikidata":"https://www.wikidata.org/wiki/Q677916","display_name":"Statistical physics","level":1,"score":0.38867196440696716},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.34504324197769165},{"id":"https://openalex.org/C30475298","wikidata":"https://www.wikidata.org/wiki/Q909554","display_name":"Computational physics","level":1,"score":0.32984310388565063},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.29207128286361694},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.19601362943649292},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.10193386673927307},{"id":"https://openalex.org/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","level":1,"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.1985.1168259","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.1985.1168259","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP '85. IEEE International Conference on Acoustics, Speech, and Signal Processing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.7699999809265137}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":4,"referenced_works":["https://openalex.org/W560533139","https://openalex.org/W2037319102","https://openalex.org/W2041462866","https://openalex.org/W3093664000"],"related_works":["https://openalex.org/W1982721348","https://openalex.org/W1493644805","https://openalex.org/W2371489490","https://openalex.org/W2130417215","https://openalex.org/W2164375742","https://openalex.org/W2132953787","https://openalex.org/W1527241779","https://openalex.org/W1995949059","https://openalex.org/W2138541140","https://openalex.org/W3125290703"],"abstract_inverted_index":{"A":[0],"new":[1],"model-order":[2],"determination":[3],"method":[4,15,30,60],"for":[5,25],"maximum":[6,52],"entropy":[7,53],"or":[8,57],"autoregressive":[9],"power":[10],"spectra":[11,49],"is":[12,16,31],"presented.":[13],"The":[14,29,59],"based":[17],"upon":[18],"a":[19],"simple":[20],"F-":[21],"(variance":[22],"ratio)":[23],"test":[24],"the":[26],"reflection":[27],"coefficients.":[28],"applicable":[32],"to":[33,48],"Burg-MEM,":[34],"non-linear-MEM":[35],"and":[36,41,72],"unrestricted":[37],"least":[38],"squares":[39],"methods":[40],"their":[42],"many":[43],"variants":[44],"as":[45,47],"well":[46],"derived":[50],"via":[51],"from":[54],"autocorrelation":[55],"estimates":[56],"measurements.":[58],"will":[61],"be":[62],"tested":[63],"on":[64],"simulated":[65],"signals":[66],"-":[67],"both":[68],"wide-band:":[69],"power-law":[70],"processes":[71],"narrow":[73],"band:":[74],"sinusoids":[75],"in":[76],"noise.":[77]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
