{"id":"https://openalex.org/W2580609400","doi":"https://doi.org/10.1109/tsp.2017.2659642","title":"Spatial Spectral Estimation with Product Processing of a Pair of Colinear Arrays","display_name":"Spatial Spectral Estimation with Product Processing of a Pair of Colinear Arrays","publication_year":2017,"publication_date":"2017-01-26","ids":{"openalex":"https://openalex.org/W2580609400","doi":"https://doi.org/10.1109/tsp.2017.2659642","mag":"2580609400"},"language":"en","primary_location":{"id":"doi:10.1109/tsp.2017.2659642","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsp.2017.2659642","pdf_url":null,"source":{"id":"https://openalex.org/S168680287","display_name":"IEEE Transactions on Signal Processing","issn_l":"1053-587X","issn":["1053-587X","1941-0476"],"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 Transactions on Signal Processing","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/A5057521393","display_name":"Kaushallya Adhikari","orcid":"https://orcid.org/0000-0002-0706-0781"},"institutions":[{"id":"https://openalex.org/I100633361","display_name":"University of Massachusetts Dartmouth","ror":"https://ror.org/00fzmm222","country_code":"US","type":"education","lineage":["https://openalex.org/I100633361"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kaushallya Adhikari","raw_affiliation_strings":["Electrical and Computer Engineering Department, University of Massachusetts Dartmouth, Dartmouth, MA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Electrical and Computer Engineering Department, University of Massachusetts Dartmouth, Dartmouth, MA, USA","institution_ids":["https://openalex.org/I100633361"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5013892052","display_name":"John R. Buck","orcid":"https://orcid.org/0000-0002-2809-8164"},"institutions":[{"id":"https://openalex.org/I100633361","display_name":"University of Massachusetts Dartmouth","ror":"https://ror.org/00fzmm222","country_code":"US","type":"education","lineage":["https://openalex.org/I100633361"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"John R. Buck","raw_affiliation_strings":["Electrical and Computer Engineering Department, University of Massachusetts Dartmouth, Dartmouth, MA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Electrical and Computer Engineering Department, University of Massachusetts Dartmouth, Dartmouth, MA, USA","institution_ids":["https://openalex.org/I100633361"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I100633361"],"apc_list":null,"apc_paid":null,"fwci":4.8587,"has_fulltext":false,"cited_by_count":51,"citation_normalized_percentile":{"value":0.96068796,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"65","issue":"9","first_page":"2389","last_page":"2401"},"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/T11946","display_name":"Antenna Design and Optimization","score":0.9979000091552734,"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"}},{"id":"https://openalex.org/T10860","display_name":"Speech and Audio Processing","score":0.9937999844551086,"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/mathematics","display_name":"Mathematics","score":0.7305015325546265},{"id":"https://openalex.org/keywords/spectral-density","display_name":"Spectral density","score":0.7203772664070129},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.6104879379272461},{"id":"https://openalex.org/keywords/covariance","display_name":"Covariance","score":0.47007089853286743},{"id":"https://openalex.org/keywords/cyclostationary-process","display_name":"Cyclostationary process","score":0.4689074754714966},{"id":"https://openalex.org/keywords/spectral-density-estimation","display_name":"Spectral density estimation","score":0.4620340168476105},{"id":"https://openalex.org/keywords/covariance-function","display_name":"Covariance function","score":0.45466747879981995},{"id":"https://openalex.org/keywords/gaussian-process","display_name":"Gaussian process","score":0.43517494201660156},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.3930789828300476},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3682941198348999},{"id":"https://openalex.org/keywords/fourier-transform","display_name":"Fourier transform","score":0.3243982195854187},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.23852750658988953},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.2103859782218933},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.17271307110786438},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.1081351637840271},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.09407326579093933}],"concepts":[{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.7305015325546265},{"id":"https://openalex.org/C168110828","wikidata":"https://www.wikidata.org/wiki/Q1331626","display_name":"Spectral density","level":2,"score":0.7203772664070129},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.6104879379272461},{"id":"https://openalex.org/C178650346","wikidata":"https://www.wikidata.org/wiki/Q201984","display_name":"Covariance","level":2,"score":0.47007089853286743},{"id":"https://openalex.org/C178351263","wikidata":"https://www.wikidata.org/wiki/Q3922399","display_name":"Cyclostationary process","level":3,"score":0.4689074754714966},{"id":"https://openalex.org/C30049272","wikidata":"https://www.wikidata.org/wiki/Q6555326","display_name":"Spectral density estimation","level":3,"score":0.4620340168476105},{"id":"https://openalex.org/C137250428","wikidata":"https://www.wikidata.org/wiki/Q5178897","display_name":"Covariance function","level":3,"score":0.45466747879981995},{"id":"https://openalex.org/C61326573","wikidata":"https://www.wikidata.org/wiki/Q1496376","display_name":"Gaussian process","level":3,"score":0.43517494201660156},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.3930789828300476},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3682941198348999},{"id":"https://openalex.org/C102519508","wikidata":"https://www.wikidata.org/wiki/Q6520159","display_name":"Fourier transform","level":2,"score":0.3243982195854187},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.23852750658988953},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.2103859782218933},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.17271307110786438},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.1081351637840271},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.09407326579093933},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.0},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"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/tsp.2017.2659642","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsp.2017.2659642","pdf_url":null,"source":{"id":"https://openalex.org/S168680287","display_name":"IEEE Transactions on Signal Processing","issn_l":"1053-587X","issn":["1053-587X","1941-0476"],"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 Transactions on Signal Processing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G812182601","display_name":null,"funder_award_id":"N00014-13-1-0230","funder_id":"https://openalex.org/F4320337345","funder_display_name":"Office of Naval Research"}],"funders":[{"id":"https://openalex.org/F4320337345","display_name":"Office of Naval Research","ror":"https://ror.org/00rk2pe57"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W59009386","https://openalex.org/W653761051","https://openalex.org/W1597732836","https://openalex.org/W1609026081","https://openalex.org/W1978318660","https://openalex.org/W1985041550","https://openalex.org/W1991017825","https://openalex.org/W2013122854","https://openalex.org/W2021193403","https://openalex.org/W2021794072","https://openalex.org/W2028988082","https://openalex.org/W2049007693","https://openalex.org/W2081917933","https://openalex.org/W2082602924","https://openalex.org/W2098174516","https://openalex.org/W2110429782","https://openalex.org/W2144000894","https://openalex.org/W2160468305","https://openalex.org/W2164390589","https://openalex.org/W2168873548","https://openalex.org/W2478884216","https://openalex.org/W2952350176","https://openalex.org/W4232369613","https://openalex.org/W4301253858"],"related_works":["https://openalex.org/W3096432517","https://openalex.org/W262848098","https://openalex.org/W2488177955","https://openalex.org/W2142116560","https://openalex.org/W1488610482","https://openalex.org/W1917904586","https://openalex.org/W2014196111","https://openalex.org/W2355015151","https://openalex.org/W2783211270","https://openalex.org/W2901143001"],"abstract_inverted_index":{"The":[0,38,68,100],"product":[1,91,125],"of":[2,6,17,60,76,107,129,136,140],"the":[3,12,18,28,35,56,61,74,77,89,104,108,117,120,124,130,134],"scanned":[4],"responses":[5],"two":[7,49],"colinear":[8],"interleaved":[9],"arrays":[10,43,47],"estimates":[11],"spatial":[13],"power":[14],"spectral":[15,79],"density":[16,80],"received":[19],"signal.":[20,67],"This":[21,53,85],"estimate":[22],"has":[23],"mathematical":[24],"structure":[25],"similar":[26],"to":[27,96],"classical":[29],"periodogram":[30,40,63,70,110],"and":[31,48,127],"hence":[32],"is":[33,73,93],"called":[34],"generalized":[36,39,62,69,109],"periodogram.":[37],"includes":[41],"sparse":[42],"such":[44],"as":[45],"coprime":[46],"level":[50],"nested":[51],"arrays.":[52],"paper":[54,101,118],"derives":[55,103],"analytical":[57],"expected":[58,71,90],"value":[59,72],"output":[64],"for":[65,111],"any":[66],"convolution":[75],"true":[78],"with":[81],"a":[82,112],"windowing":[83],"function.":[84],"result":[86],"reveals":[87],"that":[88],"spectrum":[92,126],"not":[94],"guaranteed":[95],"be":[97],"positive":[98],"definite.":[99],"also":[102],"covariance":[105],"function":[106,132],"white":[113],"Gaussian":[114],"process.":[115],"Finally,":[116],"illustrates":[119],"implicit":[121],"equivalence":[122],"between":[123],"estimation":[128],"correlation":[131],"from":[133],"products":[135],"appropriately":[137],"spaced":[138],"pairs":[139],"sensors.":[141]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":7},{"year":2021,"cited_by_count":8},{"year":2020,"cited_by_count":5},{"year":2019,"cited_by_count":12},{"year":2018,"cited_by_count":7},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":2}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}