{"id":"https://openalex.org/W4387129599","doi":"https://doi.org/10.1109/lsp.2023.3320564","title":"A Novel Approach to Spectral Estimation and Moving Average Model Parameter Estimation","display_name":"A Novel Approach to Spectral Estimation and Moving Average Model Parameter Estimation","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4387129599","doi":"https://doi.org/10.1109/lsp.2023.3320564"},"language":"en","primary_location":{"id":"doi:10.1109/lsp.2023.3320564","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/lsp.2023.3320564","pdf_url":null,"source":{"id":"https://openalex.org/S120629676","display_name":"IEEE Signal Processing Letters","issn_l":"1070-9908","issn":["1070-9908","1558-2361"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Signal Processing Letters","raw_type":"journal-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/A5056016523","display_name":"Christopher Bonenberger","orcid":"https://orcid.org/0000-0003-3186-3450"},"institutions":[{"id":"https://openalex.org/I196349391","display_name":"Universit\u00e4t Ulm","ror":"https://ror.org/032000t02","country_code":"DE","type":"education","lineage":["https://openalex.org/I196349391"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Christopher Bonenberger","raw_affiliation_strings":["Institute of Neural Information Processing, Ulm University, Ulm, Germany","Insitute of Neural Information Processing, Ulm University, James Frank Ring, Ulm, Germany"],"affiliations":[{"raw_affiliation_string":"Institute of Neural Information Processing, Ulm University, Ulm, Germany","institution_ids":["https://openalex.org/I196349391"]},{"raw_affiliation_string":"Insitute of Neural Information Processing, Ulm University, James Frank Ring, Ulm, Germany","institution_ids":["https://openalex.org/I196349391"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101819568","display_name":"Markus Schneider","orcid":"https://orcid.org/0000-0003-0543-2593"},"institutions":[{"id":"https://openalex.org/I196349391","display_name":"Universit\u00e4t Ulm","ror":"https://ror.org/032000t02","country_code":"DE","type":"education","lineage":["https://openalex.org/I196349391"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Markus Schneider","raw_affiliation_strings":["Institute of Neural Information Processing, Ulm University, Ulm, Germany","Insitute of Neural Information Processing, Ulm University, James Frank Ring, Ulm, Germany"],"affiliations":[{"raw_affiliation_string":"Institute of Neural Information Processing, Ulm University, Ulm, Germany","institution_ids":["https://openalex.org/I196349391"]},{"raw_affiliation_string":"Insitute of Neural Information Processing, Ulm University, James Frank Ring, Ulm, Germany","institution_ids":["https://openalex.org/I196349391"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078096723","display_name":"Friedhelm Schwenker","orcid":"https://orcid.org/0000-0001-5118-0812"},"institutions":[{"id":"https://openalex.org/I196349391","display_name":"Universit\u00e4t Ulm","ror":"https://ror.org/032000t02","country_code":"DE","type":"education","lineage":["https://openalex.org/I196349391"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Friedhelm Schwenker","raw_affiliation_strings":["Institute of Neural Information Processing, Ulm University, Ulm, Germany","Insitute of Neural Information Processing, Ulm University, James Frank Ring, Ulm, Germany"],"affiliations":[{"raw_affiliation_string":"Institute of Neural Information Processing, Ulm University, Ulm, Germany","institution_ids":["https://openalex.org/I196349391"]},{"raw_affiliation_string":"Insitute of Neural Information Processing, Ulm University, James Frank Ring, Ulm, Germany","institution_ids":["https://openalex.org/I196349391"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5016544515","display_name":"Wolfgang Ertel","orcid":"https://orcid.org/0009-0005-8967-3766"},"institutions":[{"id":"https://openalex.org/I196349391","display_name":"Universit\u00e4t Ulm","ror":"https://ror.org/032000t02","country_code":"DE","type":"education","lineage":["https://openalex.org/I196349391"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Wolfgang Ertel","raw_affiliation_strings":["Institute of Neural Information Processing, Ulm University, Ulm, Germany","Insitute of Neural Information Processing, Ulm University, James Frank Ring, Ulm, Germany"],"affiliations":[{"raw_affiliation_string":"Institute of Neural Information Processing, Ulm University, Ulm, Germany","institution_ids":["https://openalex.org/I196349391"]},{"raw_affiliation_string":"Insitute of Neural Information Processing, Ulm University, James Frank Ring, Ulm, Germany","institution_ids":["https://openalex.org/I196349391"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5056016523"],"corresponding_institution_ids":["https://openalex.org/I196349391"],"apc_list":null,"apc_paid":null,"fwci":0.1544,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.4612949,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"30","issue":null,"first_page":"1367","last_page":"1371"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10534","display_name":"Structural Health Monitoring Techniques","score":0.9991000294685364,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural 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/T10534","display_name":"Structural Health Monitoring Techniques","score":0.9991000294685364,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural 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/T11233","display_name":"Advanced Adaptive Filtering Techniques","score":0.9987999796867371,"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/T10931","display_name":"Direction-of-Arrival Estimation Techniques","score":0.9986000061035156,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.8060017824172974},{"id":"https://openalex.org/keywords/spectral-density-estimation","display_name":"Spectral density estimation","score":0.7037111520767212},{"id":"https://openalex.org/keywords/autocorrelation","display_name":"Autocorrelation","score":0.6603165864944458},{"id":"https://openalex.org/keywords/spectral-density","display_name":"Spectral density","score":0.6477418541908264},{"id":"https://openalex.org/keywords/finite-impulse-response","display_name":"Finite impulse response","score":0.5979692339897156},{"id":"https://openalex.org/keywords/estimation-theory","display_name":"Estimation theory","score":0.5736517906188965},{"id":"https://openalex.org/keywords/impulse-response","display_name":"Impulse response","score":0.5669351816177368},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.53664231300354},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.5042651891708374},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4584498107433319},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4560104012489319},{"id":"https://openalex.org/keywords/fourier-transform","display_name":"Fourier transform","score":0.4014703035354614},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.39141255617141724},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.23494842648506165}],"concepts":[{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.8060017824172974},{"id":"https://openalex.org/C30049272","wikidata":"https://www.wikidata.org/wiki/Q6555326","display_name":"Spectral density estimation","level":3,"score":0.7037111520767212},{"id":"https://openalex.org/C5297727","wikidata":"https://www.wikidata.org/wiki/Q786970","display_name":"Autocorrelation","level":2,"score":0.6603165864944458},{"id":"https://openalex.org/C168110828","wikidata":"https://www.wikidata.org/wiki/Q1331626","display_name":"Spectral density","level":2,"score":0.6477418541908264},{"id":"https://openalex.org/C198386975","wikidata":"https://www.wikidata.org/wiki/Q117785","display_name":"Finite impulse response","level":2,"score":0.5979692339897156},{"id":"https://openalex.org/C167928553","wikidata":"https://www.wikidata.org/wiki/Q1376021","display_name":"Estimation theory","level":2,"score":0.5736517906188965},{"id":"https://openalex.org/C72279823","wikidata":"https://www.wikidata.org/wiki/Q1139726","display_name":"Impulse response","level":2,"score":0.5669351816177368},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.53664231300354},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5042651891708374},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4584498107433319},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4560104012489319},{"id":"https://openalex.org/C102519508","wikidata":"https://www.wikidata.org/wiki/Q6520159","display_name":"Fourier transform","level":2,"score":0.4014703035354614},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.39141255617141724},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.23494842648506165},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lsp.2023.3320564","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/lsp.2023.3320564","pdf_url":null,"source":{"id":"https://openalex.org/S120629676","display_name":"IEEE Signal Processing Letters","issn_l":"1070-9908","issn":["1070-9908","1558-2361"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Signal Processing Letters","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W125854789","https://openalex.org/W352590176","https://openalex.org/W566302253","https://openalex.org/W2113638573","https://openalex.org/W2128131274","https://openalex.org/W2155722796","https://openalex.org/W2168103276","https://openalex.org/W2295124130","https://openalex.org/W2790494485","https://openalex.org/W3092496888","https://openalex.org/W3204541039","https://openalex.org/W4230021424","https://openalex.org/W4240650386","https://openalex.org/W4282830925","https://openalex.org/W4285681452"],"related_works":["https://openalex.org/W1527241779","https://openalex.org/W3126840307","https://openalex.org/W2058161570","https://openalex.org/W1995949059","https://openalex.org/W2133699418","https://openalex.org/W2138541140","https://openalex.org/W156274020","https://openalex.org/W4388903858","https://openalex.org/W4312799022","https://openalex.org/W262848098"],"abstract_inverted_index":{"We":[0],"present":[1],"a":[2,15,26,84,109],"novel":[3],"approach":[4],"to":[5,83,108],"spectral":[6],"estimation,":[7],"posing":[8],"power":[9],"spectrum":[10],"density":[11],"(PSD)":[12],"estimation":[13],"as":[14],"constrained":[16],"optimization":[17,43],"problem.":[18],"More":[19],"precisely,":[20],"we":[21,48],"optimize":[22],"the":[23,33,58,62,66,103],"coefficients":[24,70],"of":[25,76,86],"finite":[27],"impulse":[28],"response":[29],"filter":[30],"such":[31],"that":[32,50],"output":[34],"variance":[35],"is":[36,45,79],"maximized.":[37],"An":[38],"analytical":[39],"solution":[40,52,93],"for":[41,57],"this":[42],"problem":[44],"provided":[46],"and":[47,65,98,111],"show":[49],"its":[51],"establishes":[53],"an":[54,99],"unbiased":[55],"estimator":[56],"PSD":[59],"from":[60],"which":[61],"autocorrelation":[63],"function":[64],"moving":[67],"average":[68],"model":[69],"can":[71],"be":[72],"derived.":[73],"The":[74],"performance":[75],"these":[77],"estimators":[78],"demonstrated":[80],"by":[81],"comparison":[82],"variety":[85],"established":[87],"methods.":[88],"Finally,":[89],"our":[90],"closed":[91],"form":[92],"allows":[94],"interesting":[95],"theoretical":[96],"insights":[97],"implementation":[100],"based":[101],"on":[102],"fast":[104,110],"Fourier":[105],"transform,":[106],"leading":[107],"accurate":[112],"estimator.":[113]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2025-12-25T23:11:45.687758","created_date":"2025-10-10T00:00:00"}