{"id":"https://openalex.org/W2085843153","doi":"https://doi.org/10.1109/tit.1983.1056634","title":"The pdf and cdf for the sum of N filtered outputs of an analog cross correlator with bandpass inputs (Corresp.)","display_name":"The pdf and cdf for the sum of N filtered outputs of an analog cross correlator with bandpass inputs (Corresp.)","publication_year":1983,"publication_date":"1983-03-01","ids":{"openalex":"https://openalex.org/W2085843153","doi":"https://doi.org/10.1109/tit.1983.1056634","mag":"2085843153"},"language":"en","primary_location":{"id":"doi:10.1109/tit.1983.1056634","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tit.1983.1056634","pdf_url":null,"source":{"id":"https://openalex.org/S4502562","display_name":"IEEE Transactions on Information Theory","issn_l":"0018-9448","issn":["0018-9448","1557-9654"],"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 Information Theory","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://stars.library.ucf.edu/facultybib1980/206","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5028162320","display_name":"Lawrence C. Andrews","orcid":"https://orcid.org/0000-0002-4451-1641"},"institutions":[{"id":"https://openalex.org/I106165777","display_name":"University of Central Florida","ror":"https://ror.org/036nfer12","country_code":"US","type":"education","lineage":["https://openalex.org/I106165777"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"L. Andrews","raw_affiliation_strings":["Department of Mathematics and Statistics, University of Central Florida, Orlando, FL, USA","[Department of Mathematics and Statistics, University of Central Florida, Orlando, FL, USA]"],"affiliations":[{"raw_affiliation_string":"Department of Mathematics and Statistics, University of Central Florida, Orlando, FL, USA","institution_ids":["https://openalex.org/I106165777"]},{"raw_affiliation_string":"[Department of Mathematics and Statistics, University of Central Florida, Orlando, FL, USA]","institution_ids":["https://openalex.org/I106165777"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5080040163","display_name":"Charles W. Brice","orcid":null},"institutions":[{"id":"https://openalex.org/I4210114898","display_name":"Securboration (United States)","ror":"https://ror.org/01hsj7470","country_code":"US","type":"company","lineage":["https://openalex.org/I4210114898"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"C. Brice","raw_affiliation_strings":["Applimation, Inc., Orlando, FL, USA","[Applimation, Inc., Orlando, FL, USA]"],"affiliations":[{"raw_affiliation_string":"Applimation, Inc., Orlando, FL, USA","institution_ids":[]},{"raw_affiliation_string":"[Applimation, Inc., Orlando, FL, USA]","institution_ids":["https://openalex.org/I4210114898"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5028162320"],"corresponding_institution_ids":["https://openalex.org/I106165777"],"apc_list":null,"apc_paid":null,"fwci":0.6055,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.67913938,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"29","issue":"2","first_page":"299","last_page":"306"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation Techniques","score":0.9941999912261963,"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":0.9941999912261963,"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/T12146","display_name":"Power Line Communications and Noise","score":0.9907000064849854,"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/T12879","display_name":"Distributed Sensor Networks and Detection Algorithms","score":0.9904000163078308,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/band-pass-filter","display_name":"Band-pass filter","score":0.6527359485626221},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.6234124898910522},{"id":"https://openalex.org/keywords/probability-density-function","display_name":"Probability density function","score":0.6003320217132568},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.5590236783027649},{"id":"https://openalex.org/keywords/gaussian-noise","display_name":"Gaussian noise","score":0.5560476183891296},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.498126745223999},{"id":"https://openalex.org/keywords/cumulative-distribution-function","display_name":"Cumulative distribution function","score":0.4730621576309204},{"id":"https://openalex.org/keywords/probability-distribution","display_name":"Probability distribution","score":0.4355641007423401},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.4225904941558838},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4125913977622986},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.3867862820625305},{"id":"https://openalex.org/keywords/topology","display_name":"Topology (electrical circuits)","score":0.3552708029747009},{"id":"https://openalex.org/keywords/electronic-engineering","display_name":"Electronic engineering","score":0.23875656723976135},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.23455920815467834},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.2245798408985138},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.17165622115135193},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.16372165083885193},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.15498489141464233},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.09289571642875671}],"concepts":[{"id":"https://openalex.org/C147788027","wikidata":"https://www.wikidata.org/wiki/Q2718101","display_name":"Band-pass filter","level":2,"score":0.6527359485626221},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.6234124898910522},{"id":"https://openalex.org/C197055811","wikidata":"https://www.wikidata.org/wiki/Q207522","display_name":"Probability density function","level":2,"score":0.6003320217132568},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.5590236783027649},{"id":"https://openalex.org/C4199805","wikidata":"https://www.wikidata.org/wiki/Q2725903","display_name":"Gaussian noise","level":2,"score":0.5560476183891296},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.498126745223999},{"id":"https://openalex.org/C103784038","wikidata":"https://www.wikidata.org/wiki/Q386228","display_name":"Cumulative distribution function","level":3,"score":0.4730621576309204},{"id":"https://openalex.org/C149441793","wikidata":"https://www.wikidata.org/wiki/Q200726","display_name":"Probability distribution","level":2,"score":0.4355641007423401},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.4225904941558838},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4125913977622986},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3867862820625305},{"id":"https://openalex.org/C184720557","wikidata":"https://www.wikidata.org/wiki/Q7825049","display_name":"Topology (electrical circuits)","level":2,"score":0.3552708029747009},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.23875656723976135},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.23455920815467834},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.2245798408985138},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.17165622115135193},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.16372165083885193},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.15498489141464233},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.09289571642875671},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"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":2,"locations":[{"id":"doi:10.1109/tit.1983.1056634","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tit.1983.1056634","pdf_url":null,"source":{"id":"https://openalex.org/S4502562","display_name":"IEEE Transactions on Information Theory","issn_l":"0018-9448","issn":["0018-9448","1557-9654"],"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 Information Theory","raw_type":"journal-article"},{"id":"pmh:oai:stars.library.ucf.edu:facultybib1980-1205","is_oa":true,"landing_page_url":"https://stars.library.ucf.edu/facultybib1980/206","pdf_url":null,"source":{"id":"https://openalex.org/S4210172555","display_name":"Journal of International Crisis and Risk Communication Research","issn_l":"2576-0017","issn":["2576-0017","2576-0025"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Faculty Bibliography 1980s","raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:stars.library.ucf.edu:facultybib1980-1205","is_oa":true,"landing_page_url":"https://stars.library.ucf.edu/facultybib1980/206","pdf_url":null,"source":{"id":"https://openalex.org/S4210172555","display_name":"Journal of International Crisis and Risk Communication Research","issn_l":"2576-0017","issn":["2576-0017","2576-0025"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Faculty Bibliography 1980s","raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W240483043","https://openalex.org/W2006741277","https://openalex.org/W2014312666","https://openalex.org/W2025931038","https://openalex.org/W2026294479","https://openalex.org/W2058849740","https://openalex.org/W2084970527","https://openalex.org/W2100819007","https://openalex.org/W2113451342","https://openalex.org/W2117321518","https://openalex.org/W2123015006","https://openalex.org/W2313278888","https://openalex.org/W4230941884"],"related_works":["https://openalex.org/W4213267843","https://openalex.org/W3102213005","https://openalex.org/W2168519368","https://openalex.org/W2099754143","https://openalex.org/W2036854414","https://openalex.org/W2893341095","https://openalex.org/W2392327107","https://openalex.org/W192702211","https://openalex.org/W2753355162","https://openalex.org/W1980528650"],"abstract_inverted_index":{"Several":[0],"expressions":[1],"are":[2,74,79],"derived":[3,78],"for":[4,86],"the":[5,14,35,49,55,87],"probability":[6],"density":[7],"and":[8,54],"cumulative":[9],"distribution":[10],"functions":[11],"associated":[12],"with":[13,38,71],"sum":[15],"of":[16,22,31,48,68],"<tex":[17],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[18],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">N</tex>":[19],"sampled":[20],"outputs":[21],"an":[23],"analog":[24],"cross":[25],"correlator.":[26],"The":[27,76],"correlator":[28],"inputs":[29],"consist":[30],"deterministic":[32],"signals":[33],"having":[34],"same":[36],"frequency":[37],"additive":[39],"correlated":[40],"stationary":[41],"narrow-band":[42],"Gaussian":[43],"noise":[44,56],"processes.":[45],"Spectral":[46],"symmetry":[47],"noises":[50],"is":[51],"not":[52],"assumed,":[53],"components":[57],"in":[58],"each":[59],"input":[60],"channel":[61],"have":[62],"distinct":[63],"variances.":[64],"Wherever":[65],"possible,":[66],"comparisons":[67],"our":[69],"results":[70,77],"previous":[72,83],"work":[73,84],"discussed.":[75],"more":[80],"general":[81],"than":[82],"and,":[85],"most":[88],"part,":[89],"functionally":[90],"less":[91],"complicated.":[92]},"counts_by_year":[],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}