{"id":"https://openalex.org/W2047471773","doi":"https://doi.org/10.1002/ett.4460010302","title":"Optimum and suboptimum detection of weak signals in cyclostationary non\u2010gaussian noise","display_name":"Optimum and suboptimum detection of weak signals in cyclostationary non\u2010gaussian noise","publication_year":1990,"publication_date":"1990-05-01","ids":{"openalex":"https://openalex.org/W2047471773","doi":"https://doi.org/10.1002/ett.4460010302","mag":"2047471773"},"language":"en","primary_location":{"id":"doi:10.1002/ett.4460010302","is_oa":false,"landing_page_url":"https://doi.org/10.1002/ett.4460010302","pdf_url":null,"source":{"id":"https://openalex.org/S4393917101","display_name":"European Transactions on Telecommunications","issn_l":"1124-318X","issn":["1124-318X","1541-8251"],"is_oa":false,"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":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"European Transactions on Telecommunications","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/A5047746793","display_name":"Luciano Izzo","orcid":"https://orcid.org/0000-0001-7852-032X"},"institutions":[{"id":"https://openalex.org/I4210104655","display_name":"Ingegneria dei Trasporti (Italy)","ror":"https://ror.org/01fp7rv25","country_code":"IT","type":"company","lineage":["https://openalex.org/I4210104655"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"Luciano Izzo","raw_affiliation_strings":["Universita\u0301 di Napoli Dipartimento di Ingegneria Elettronica Via Claudio, 21 - 80125 Napoli - Italy","Universit\u00e1 di Napoli Dipartimento di Ingegneria Elettronica Via Claudio, 21 \u2010 80125 Napoli \u2010 Italy"],"affiliations":[{"raw_affiliation_string":"Universita\u0301 di Napoli Dipartimento di Ingegneria Elettronica Via Claudio, 21 - 80125 Napoli - Italy","institution_ids":[]},{"raw_affiliation_string":"Universit\u00e1 di Napoli Dipartimento di Ingegneria Elettronica Via Claudio, 21 \u2010 80125 Napoli \u2010 Italy","institution_ids":["https://openalex.org/I4210104655"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103395762","display_name":"Luigi Paura","orcid":null},"institutions":[{"id":"https://openalex.org/I4210104655","display_name":"Ingegneria dei Trasporti (Italy)","ror":"https://ror.org/01fp7rv25","country_code":"IT","type":"company","lineage":["https://openalex.org/I4210104655"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Luigi Paura","raw_affiliation_strings":["Universita\u0301 di Napoli Dipartimento di Ingegneria Elettronica Via Claudio, 21 - 80125 Napoli - Italy","Universit\u00e1 di Napoli Dipartimento di Ingegneria Elettronica Via Claudio, 21 \u2010 80125 Napoli \u2010 Italy"],"affiliations":[{"raw_affiliation_string":"Universita\u0301 di Napoli Dipartimento di Ingegneria Elettronica Via Claudio, 21 - 80125 Napoli - Italy","institution_ids":[]},{"raw_affiliation_string":"Universit\u00e1 di Napoli Dipartimento di Ingegneria Elettronica Via Claudio, 21 \u2010 80125 Napoli \u2010 Italy","institution_ids":["https://openalex.org/I4210104655"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5052591574","display_name":"Mario Tanda","orcid":"https://orcid.org/0000-0002-2017-7351"},"institutions":[{"id":"https://openalex.org/I4210104655","display_name":"Ingegneria dei Trasporti (Italy)","ror":"https://ror.org/01fp7rv25","country_code":"IT","type":"company","lineage":["https://openalex.org/I4210104655"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Mario Tanda","raw_affiliation_strings":["Universita\u0301 di Napoli Dipartimento di Ingegneria Elettronica Via Claudio, 21 - 80125 Napoli - Italy","Universit\u00e1 di Napoli Dipartimento di Ingegneria Elettronica Via Claudio, 21 \u2010 80125 Napoli \u2010 Italy"],"affiliations":[{"raw_affiliation_string":"Universita\u0301 di Napoli Dipartimento di Ingegneria Elettronica Via Claudio, 21 - 80125 Napoli - Italy","institution_ids":[]},{"raw_affiliation_string":"Universit\u00e1 di Napoli Dipartimento di Ingegneria Elettronica Via Claudio, 21 \u2010 80125 Napoli \u2010 Italy","institution_ids":["https://openalex.org/I4210104655"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5047746793"],"corresponding_institution_ids":["https://openalex.org/I4210104655"],"apc_list":null,"apc_paid":null,"fwci":0.3321,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.56958116,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":96},"biblio":{"volume":"1","issue":"3","first_page":"233","last_page":"237"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11513","display_name":"stochastic dynamics and bifurcation","score":0.954800009727478,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11513","display_name":"stochastic dynamics and bifurcation","score":0.954800009727478,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"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":0.9254000186920166,"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"}},{"id":"https://openalex.org/T11187","display_name":"Nonlinear Dynamics and Pattern Formation","score":0.9125000238418579,"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/gaussian-noise","display_name":"Gaussian noise","score":0.7753041982650757},{"id":"https://openalex.org/keywords/cyclostationary-process","display_name":"Cyclostationary process","score":0.7600542306900024},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.7269963026046753},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.7030025720596313},{"id":"https://openalex.org/keywords/additive-white-gaussian-noise","display_name":"Additive white Gaussian noise","score":0.5511847138404846},{"id":"https://openalex.org/keywords/waveform","display_name":"Waveform","score":0.4957007169723511},{"id":"https://openalex.org/keywords/value-noise","display_name":"Value noise","score":0.4835388660430908},{"id":"https://openalex.org/keywords/detection-theory","display_name":"Detection theory","score":0.4764167070388794},{"id":"https://openalex.org/keywords/white-noise","display_name":"White noise","score":0.4631136953830719},{"id":"https://openalex.org/keywords/gradient-noise","display_name":"Gradient noise","score":0.45297354459762573},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4484180212020874},{"id":"https://openalex.org/keywords/stochastic-resonance","display_name":"Stochastic resonance","score":0.4277484714984894},{"id":"https://openalex.org/keywords/noise-spectral-density","display_name":"Noise spectral density","score":0.4273703694343567},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.42329853773117065},{"id":"https://openalex.org/keywords/noise-floor","display_name":"Noise floor","score":0.3835003972053528},{"id":"https://openalex.org/keywords/noise-measurement","display_name":"Noise measurement","score":0.3665844202041626},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.21058854460716248},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.16723540425300598},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.15842872858047485},{"id":"https://openalex.org/keywords/bandwidth","display_name":"Bandwidth (computing)","score":0.15794870257377625},{"id":"https://openalex.org/keywords/noise-figure","display_name":"Noise figure","score":0.15621346235275269},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.07731547951698303}],"concepts":[{"id":"https://openalex.org/C4199805","wikidata":"https://www.wikidata.org/wiki/Q2725903","display_name":"Gaussian noise","level":2,"score":0.7753041982650757},{"id":"https://openalex.org/C178351263","wikidata":"https://www.wikidata.org/wiki/Q3922399","display_name":"Cyclostationary process","level":3,"score":0.7600542306900024},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.7269963026046753},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.7030025720596313},{"id":"https://openalex.org/C169334058","wikidata":"https://www.wikidata.org/wiki/Q353292","display_name":"Additive white Gaussian noise","level":3,"score":0.5511847138404846},{"id":"https://openalex.org/C197424946","wikidata":"https://www.wikidata.org/wiki/Q1165717","display_name":"Waveform","level":3,"score":0.4957007169723511},{"id":"https://openalex.org/C182163834","wikidata":"https://www.wikidata.org/wiki/Q2926529","display_name":"Value noise","level":5,"score":0.4835388660430908},{"id":"https://openalex.org/C137270730","wikidata":"https://www.wikidata.org/wiki/Q120811","display_name":"Detection theory","level":3,"score":0.4764167070388794},{"id":"https://openalex.org/C112633086","wikidata":"https://www.wikidata.org/wiki/Q381287","display_name":"White noise","level":2,"score":0.4631136953830719},{"id":"https://openalex.org/C200378446","wikidata":"https://www.wikidata.org/wiki/Q4147391","display_name":"Gradient noise","level":5,"score":0.45297354459762573},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4484180212020874},{"id":"https://openalex.org/C207658827","wikidata":"https://www.wikidata.org/wiki/Q1999781","display_name":"Stochastic resonance","level":4,"score":0.4277484714984894},{"id":"https://openalex.org/C133976006","wikidata":"https://www.wikidata.org/wiki/Q3023291","display_name":"Noise spectral density","level":5,"score":0.4273703694343567},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.42329853773117065},{"id":"https://openalex.org/C187612029","wikidata":"https://www.wikidata.org/wiki/Q17083130","display_name":"Noise floor","level":4,"score":0.3835003972053528},{"id":"https://openalex.org/C29265498","wikidata":"https://www.wikidata.org/wiki/Q7047719","display_name":"Noise measurement","level":3,"score":0.3665844202041626},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.21058854460716248},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.16723540425300598},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.15842872858047485},{"id":"https://openalex.org/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.15794870257377625},{"id":"https://openalex.org/C112806910","wikidata":"https://www.wikidata.org/wiki/Q746825","display_name":"Noise figure","level":4,"score":0.15621346235275269},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.07731547951698303},{"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/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.0},{"id":"https://openalex.org/C194257627","wikidata":"https://www.wikidata.org/wiki/Q211554","display_name":"Amplifier","level":3,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1002/ett.4460010302","is_oa":false,"landing_page_url":"https://doi.org/10.1002/ett.4460010302","pdf_url":null,"source":{"id":"https://openalex.org/S4393917101","display_name":"European Transactions on Telecommunications","issn_l":"1124-318X","issn":["1124-318X","1541-8251"],"is_oa":false,"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":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"European Transactions on Telecommunications","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":17,"referenced_works":["https://openalex.org/W251781723","https://openalex.org/W1974075201","https://openalex.org/W2008240875","https://openalex.org/W2039090646","https://openalex.org/W2042271739","https://openalex.org/W2060318295","https://openalex.org/W2089625772","https://openalex.org/W2092759739","https://openalex.org/W2118856727","https://openalex.org/W2119743412","https://openalex.org/W2126623653","https://openalex.org/W2131363899","https://openalex.org/W2146477242","https://openalex.org/W2149602053","https://openalex.org/W2323594155","https://openalex.org/W3022581064","https://openalex.org/W4243726654"],"related_works":["https://openalex.org/W3125397569","https://openalex.org/W2032021057","https://openalex.org/W4240313311","https://openalex.org/W3115995014","https://openalex.org/W2012134849","https://openalex.org/W2105574506","https://openalex.org/W2360310459","https://openalex.org/W1982364301","https://openalex.org/W2534074416","https://openalex.org/W2105010052"],"abstract_inverted_index":{"Abstract":[0],"The":[1,27,93,139],"paper":[2,86],"deals":[3],"with":[4,15,106],"the":[5,18,21,36,50,60,63,67,78,85,96,101,109,113,117,121,132,136],"detection":[6,91],"of":[7,52,66,77,112,131,141],"a":[8,45,74,148],"signal":[9,137],"in":[10],"additive":[11],"non\u2010Gaussian":[12],"nonstationary":[13],"noise,":[14,104],"reference":[16,107],"to":[17,34,59,80,108],"case":[19],"where":[20],"time\u2010varying":[22,46],"noise":[23,42,68,115,133],"intensity":[24,69,134],"exhibits":[25],"ciclostationarity.":[26],"locally":[28,37,97],"optimum":[29,98],"noise\u2010synchronized":[30],"detector":[31,39,54,99],"is":[32,55,71,83,95,152],"shown":[33],"be":[35],"oprimum":[38],"for":[40,100],"stationary":[41,102],"preceded":[43],"by":[44,127],"invertible":[47],"transformation.":[48],"Since":[49],"implementation":[51],"such":[53,81],"quite":[56],"involved":[57],"owing":[58],"requirements":[61],"that":[62],"exact":[64],"waveform":[65],"variations":[70,82],"known":[72],"and":[73,135,147],"perfect":[75],"synchronization":[76],"receiver":[79],"available,":[84],"proposes":[87],"also":[88],"two":[89,128],"suboptimum":[90],"structures.":[92],"former":[94],"white":[103],"designed":[105],"time\u2010averaged":[110],"value":[111],"periodic":[114],"intensity;":[116],"latter":[118],"performs":[119],"at":[120],"same":[122],"time":[123],"an":[124],"estimate":[125],"(achieved":[126],"different":[129],"algorithms)":[130],"detection.":[138],"performances":[140],"all":[142],"considered":[143],"detectors":[144],"are":[145],"evaluated":[146],"comparison":[149],"among":[150],"them":[151],"made":[153],"via":[154],"computer":[155],"simulations.":[156]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2019,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}