{"id":"https://openalex.org/W2794140489","doi":"https://doi.org/10.1109/camsap.2017.8313121","title":"The Mean-Squared-Error of autocorrelation sampling in coprime arrays","display_name":"The Mean-Squared-Error of autocorrelation sampling in coprime arrays","publication_year":2017,"publication_date":"2017-12-01","ids":{"openalex":"https://openalex.org/W2794140489","doi":"https://doi.org/10.1109/camsap.2017.8313121","mag":"2794140489"},"language":"en","primary_location":{"id":"doi:10.1109/camsap.2017.8313121","is_oa":false,"landing_page_url":"https://doi.org/10.1109/camsap.2017.8313121","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE 7th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP)","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/A5016447762","display_name":"Dimitris G. Chachlakis","orcid":"https://orcid.org/0000-0002-6464-0723"},"institutions":[{"id":"https://openalex.org/I155173764","display_name":"Rochester Institute of Technology","ror":"https://ror.org/00v4yb702","country_code":"US","type":"education","lineage":["https://openalex.org/I155173764"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Dimitris G. Chachlakis","raw_affiliation_strings":["Dept. of Electrical and Microelectronic Engineering, Rochester Institute of Technology, Rochester,NY, USA"],"affiliations":[{"raw_affiliation_string":"Dept. of Electrical and Microelectronic Engineering, Rochester Institute of Technology, Rochester,NY, USA","institution_ids":["https://openalex.org/I155173764"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010876698","display_name":"Panos P. Markopoulos","orcid":"https://orcid.org/0000-0001-9686-779X"},"institutions":[{"id":"https://openalex.org/I155173764","display_name":"Rochester Institute of Technology","ror":"https://ror.org/00v4yb702","country_code":"US","type":"education","lineage":["https://openalex.org/I155173764"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Panos P. Markopoulos","raw_affiliation_strings":["Dept. of Electrical and Microelectronic Engineering, Rochester Institute of Technology, Rochester,NY, USA"],"affiliations":[{"raw_affiliation_string":"Dept. of Electrical and Microelectronic Engineering, Rochester Institute of Technology, Rochester,NY, USA","institution_ids":["https://openalex.org/I155173764"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5083732517","display_name":"Fauzia Ahmad","orcid":"https://orcid.org/0000-0002-1446-5154"},"institutions":[{"id":"https://openalex.org/I84392919","display_name":"Temple University","ror":"https://ror.org/00kx1jb78","country_code":"US","type":"education","lineage":["https://openalex.org/I84392919"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Fauzia Ahmad","raw_affiliation_strings":["Dept. of Electrical and Computer Engineering, Temple University, Philadelphia, PA, USA"],"affiliations":[{"raw_affiliation_string":"Dept. of Electrical and Computer Engineering, Temple University, Philadelphia, PA, USA","institution_ids":["https://openalex.org/I84392919"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5016447762"],"corresponding_institution_ids":["https://openalex.org/I155173764"],"apc_list":null,"apc_paid":null,"fwci":0.5548,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.6825364,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10931","display_name":"Direction-of-Arrival Estimation Techniques","score":0.9998999834060669,"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/T10931","display_name":"Direction-of-Arrival Estimation Techniques","score":0.9998999834060669,"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/T10860","display_name":"Speech and Audio Processing","score":0.9988999962806702,"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/T11946","display_name":"Antenna Design and Optimization","score":0.9958000183105469,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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/autocorrelation","display_name":"Autocorrelation","score":0.7611439228057861},{"id":"https://openalex.org/keywords/mean-squared-error","display_name":"Mean squared error","score":0.6547368764877319},{"id":"https://openalex.org/keywords/coprime-integers","display_name":"Coprime integers","score":0.555677056312561},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.5192408561706543},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.5118016600608826},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.48406973481178284},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.39524954557418823},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.3793880343437195},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.09873780608177185}],"concepts":[{"id":"https://openalex.org/C5297727","wikidata":"https://www.wikidata.org/wiki/Q786970","display_name":"Autocorrelation","level":2,"score":0.7611439228057861},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.6547368764877319},{"id":"https://openalex.org/C23230895","wikidata":"https://www.wikidata.org/wiki/Q104752","display_name":"Coprime integers","level":2,"score":0.555677056312561},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.5192408561706543},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5118016600608826},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.48406973481178284},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.39524954557418823},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3793880343437195},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.09873780608177185},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/camsap.2017.8313121","is_oa":false,"landing_page_url":"https://doi.org/10.1109/camsap.2017.8313121","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE 7th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320337345","display_name":"Office of Naval Research","ror":"https://ror.org/00rk2pe57"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W1483611562","https://openalex.org/W1530239534","https://openalex.org/W1586172726","https://openalex.org/W1964521756","https://openalex.org/W1976772748","https://openalex.org/W1998435731","https://openalex.org/W2003157621","https://openalex.org/W2079302539","https://openalex.org/W2085910483","https://openalex.org/W2103632480","https://openalex.org/W2149551443","https://openalex.org/W2168873548","https://openalex.org/W2316642606","https://openalex.org/W2345417717","https://openalex.org/W2346852820","https://openalex.org/W2357400875","https://openalex.org/W2430353261","https://openalex.org/W2497079801","https://openalex.org/W2539552782","https://openalex.org/W2544827558","https://openalex.org/W2610247962","https://openalex.org/W2625990440","https://openalex.org/W6628958923","https://openalex.org/W6675305283","https://openalex.org/W6704785878"],"related_works":["https://openalex.org/W2035306675","https://openalex.org/W1987515496","https://openalex.org/W849505","https://openalex.org/W2170045100","https://openalex.org/W3093912129","https://openalex.org/W4287635858","https://openalex.org/W2387135739","https://openalex.org/W2047223703","https://openalex.org/W2187791993","https://openalex.org/W2096628405"],"abstract_inverted_index":{"Standard":[0],"direction-of-arrival":[1],"estimation":[2],"using":[3],"coprime":[4],"arrays":[5],"samples":[6,39,50,68],"the":[7,10,30,36,40,49,57,77,84,103,109,120,123],"entries":[8],"of":[9,29,35,48,56,66,111,122],"estimated":[11],"physical-array":[12,41,86],"autocorrelation":[13,116],"matrix,":[14],"organizes":[15],"them":[16],"in":[17,106],"a":[18],"matrix":[19],"structure,":[20],"and":[21,114,118],"conducts":[22],"multiple-signal":[23],"classification":[24],"(MUSIC)":[25],"with":[26],"singular":[27],"vectors":[28],"resulting":[31],"matrix.":[32],"A":[33],"majority":[34],"existing":[37],"literature":[38],"autocorrelations":[42],"by":[43],"selection,":[44],"retaining":[45],"only":[46],"one":[47],"that":[51,69],"correspond":[52],"to":[53,71],"each":[54,72],"element":[55],"difference":[58],"coarray.":[59],"Other":[60],"more":[61],"recent":[62],"works":[63],"conduct":[64],"averaging":[65,115],"all":[67],"relate":[70],"coarray":[73],"element.":[74],"Even":[75],"though":[76],"two":[78],"methods":[79],"coincide":[80],"when":[81,92],"applied":[82,93],"on":[83,94],"nominal/true":[85],"autocorrelations,":[87],"their":[88],"performance":[89],"differs":[90],"significantly":[91],"finite-snapshot":[95],"estimates.":[96],"In":[97],"this":[98],"paper,":[99],"we":[100],"present":[101],"for":[102],"first":[104],"time":[105],"closed":[107],"form":[108],"mean-squared-error":[110],"both":[112],"selection":[113],"sampling":[117],"clarify/establish":[119],"superiority":[121],"latter.":[124]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":3},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}