{"id":"https://openalex.org/W1966812767","doi":"https://doi.org/10.1109/fskd.2012.6233862","title":"An energy detection algorithm based on cyclic spectrum","display_name":"An energy detection algorithm based on cyclic spectrum","publication_year":2012,"publication_date":"2012-05-01","ids":{"openalex":"https://openalex.org/W1966812767","doi":"https://doi.org/10.1109/fskd.2012.6233862","mag":"1966812767"},"language":"en","primary_location":{"id":"doi:10.1109/fskd.2012.6233862","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fskd.2012.6233862","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 9th International Conference on Fuzzy Systems and Knowledge Discovery","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/A5100439759","display_name":"Chunyu Zhang","orcid":"https://orcid.org/0009-0001-1525-1895"},"institutions":[{"id":"https://openalex.org/I4210108370","display_name":"Panzhihua University","ror":"https://ror.org/01h8y6y39","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210108370"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Chunyu Zhang","raw_affiliation_strings":["College of Computer Science, Panzhihua University, Panzhihua, Sichuan, China","College of Computer Science, Panzhihua University, Sichuan China, 617000"],"affiliations":[{"raw_affiliation_string":"College of Computer Science, Panzhihua University, Panzhihua, Sichuan, China","institution_ids":["https://openalex.org/I4210108370"]},{"raw_affiliation_string":"College of Computer Science, Panzhihua University, Sichuan China, 617000","institution_ids":["https://openalex.org/I4210108370"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5100439759"],"corresponding_institution_ids":["https://openalex.org/I4210108370"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.04982001,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"25","issue":null,"first_page":"1711","last_page":"1715"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation Techniques","score":0.9994000196456909,"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":0.9994000196456909,"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/T12879","display_name":"Distributed Sensor Networks and Detection Algorithms","score":0.9965999722480774,"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/T12131","display_name":"Wireless Signal Modulation Classification","score":0.9961000084877014,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/noise","display_name":"Noise (video)","score":0.6766046285629272},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6649596691131592},{"id":"https://openalex.org/keywords/energy","display_name":"Energy (signal processing)","score":0.6594408750534058},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.6253788471221924},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.6105820536613464},{"id":"https://openalex.org/keywords/noise-power","display_name":"Noise power","score":0.5926626920700073},{"id":"https://openalex.org/keywords/a-priori-and-a-posteriori","display_name":"A priori and a posteriori","score":0.5604450702667236},{"id":"https://openalex.org/keywords/signal-to-noise-ratio","display_name":"Signal-to-noise ratio (imaging)","score":0.5289694666862488},{"id":"https://openalex.org/keywords/detection-theory","display_name":"Detection theory","score":0.5043696165084839},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.4847959578037262},{"id":"https://openalex.org/keywords/spectral-density","display_name":"Spectral density","score":0.48375725746154785},{"id":"https://openalex.org/keywords/noise-measurement","display_name":"Noise measurement","score":0.42542245984077454},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.41632962226867676},{"id":"https://openalex.org/keywords/electronic-engineering","display_name":"Electronic engineering","score":0.39573222398757935},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.24858656525611877},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.20294901728630066},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.18904823064804077},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.14730846881866455},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.13514989614486694},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.10680767893791199},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.0722719132900238}],"concepts":[{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.6766046285629272},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6649596691131592},{"id":"https://openalex.org/C186370098","wikidata":"https://www.wikidata.org/wiki/Q442787","display_name":"Energy (signal processing)","level":2,"score":0.6594408750534058},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.6253788471221924},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.6105820536613464},{"id":"https://openalex.org/C203234222","wikidata":"https://www.wikidata.org/wiki/Q2133519","display_name":"Noise power","level":3,"score":0.5926626920700073},{"id":"https://openalex.org/C75553542","wikidata":"https://www.wikidata.org/wiki/Q178161","display_name":"A priori and a posteriori","level":2,"score":0.5604450702667236},{"id":"https://openalex.org/C13944312","wikidata":"https://www.wikidata.org/wiki/Q7512748","display_name":"Signal-to-noise ratio (imaging)","level":2,"score":0.5289694666862488},{"id":"https://openalex.org/C137270730","wikidata":"https://www.wikidata.org/wiki/Q120811","display_name":"Detection theory","level":3,"score":0.5043696165084839},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.4847959578037262},{"id":"https://openalex.org/C168110828","wikidata":"https://www.wikidata.org/wiki/Q1331626","display_name":"Spectral density","level":2,"score":0.48375725746154785},{"id":"https://openalex.org/C29265498","wikidata":"https://www.wikidata.org/wiki/Q7047719","display_name":"Noise measurement","level":3,"score":0.42542245984077454},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.41632962226867676},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.39573222398757935},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.24858656525611877},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.20294901728630066},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.18904823064804077},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.14730846881866455},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.13514989614486694},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.10680767893791199},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0722719132900238},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"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},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/fskd.2012.6233862","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fskd.2012.6233862","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 9th International Conference on Fuzzy Systems and Knowledge Discovery","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy","score":0.9100000262260437}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":4,"referenced_works":["https://openalex.org/W2051197024","https://openalex.org/W2101354295","https://openalex.org/W2155999145","https://openalex.org/W2172139273"],"related_works":["https://openalex.org/W2380451605","https://openalex.org/W2131502229","https://openalex.org/W4238062003","https://openalex.org/W1782653437","https://openalex.org/W2387156362","https://openalex.org/W1529991411","https://openalex.org/W2131193330","https://openalex.org/W2994704974","https://openalex.org/W4285814784","https://openalex.org/W1966535600"],"abstract_inverted_index":{"The":[0,59,81],"conventional":[1],"energy":[2,37],"detection":[3,38,84],"methods":[4],"do":[5,32],"need":[6],"the":[7,16,54,62,102],"information":[8,55],"of":[9,18,26,56,83],"noise":[10,19,57],"power":[11,20],"as":[12],"a":[13,24,35],"priori,":[14],"while":[15],"estimate":[17],"itself":[21],"is":[22,45,85,105],"also":[23,97],"piece":[25],"work":[27],"in":[28,47],"practical":[29],"engineering.":[30],"To":[31],"with":[33,87],"this,":[34],"new":[36],"method":[39,60],"based":[40],"upon":[41],"cyclic":[42],"spectrum":[43],"theory":[44],"proposed":[46],"this":[48],"paper,":[49],"which":[50],"does":[51],"not":[52],"require":[53],"power.":[58],"and":[61,90,93],"scheme":[63],"to":[64],"low":[65],"its":[66],"computation":[67],"complexity":[68],"are":[69,79],"explicit":[70],"taking":[71],"MPSK":[72],"signals":[73,95],"for":[74],"example.":[75],"Extensive":[76],"computer":[77],"simulations":[78],"given.":[80],"performance":[82],"concerned":[86],"shaping":[88],"pulse":[89],"observation":[91],"time,":[92],"BPSK":[94],"can":[96],"be":[98],"well":[99],"detected":[100],"when":[101],"signal-noise":[103],"ratio":[104],"low.":[106]},"counts_by_year":[{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}