{"id":"https://openalex.org/W2075862716","doi":"https://doi.org/10.1109/ciss.2013.6552345","title":"Performance of the instantaneous frequency based classifier distinguishing BFSK from QAM and PSK modulations for asynchronous sampling and slow and fast fading","display_name":"Performance of the instantaneous frequency based classifier distinguishing BFSK from QAM and PSK modulations for asynchronous sampling and slow and fast fading","publication_year":2013,"publication_date":"2013-03-01","ids":{"openalex":"https://openalex.org/W2075862716","doi":"https://doi.org/10.1109/ciss.2013.6552345","mag":"2075862716"},"language":"en","primary_location":{"id":"doi:10.1109/ciss.2013.6552345","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ciss.2013.6552345","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 47th Annual Conference on Information Sciences and Systems (CISS)","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/A5112446735","display_name":"Mohammad Bari","orcid":"https://orcid.org/0000-0003-2614-665X"},"institutions":[{"id":"https://openalex.org/I193531525","display_name":"George Washington University","ror":"https://ror.org/00y4zzh67","country_code":"US","type":"education","lineage":["https://openalex.org/I193531525"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Mohammad Bari","raw_affiliation_strings":["Department of Electrical and Computer Engineering, George Washington University, Washington, DC, DC, USA","Dept. of Electr. & Comput. Eng. Washington, George Washington Univ., Washington, DC, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, George Washington University, Washington, DC, DC, USA","institution_ids":["https://openalex.org/I193531525"]},{"raw_affiliation_string":"Dept. of Electr. & Comput. Eng. Washington, George Washington Univ., Washington, DC, USA","institution_ids":["https://openalex.org/I193531525"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111590833","display_name":"Hussam Mustafa","orcid":null},"institutions":[{"id":"https://openalex.org/I193531525","display_name":"George Washington University","ror":"https://ror.org/00y4zzh67","country_code":"US","type":"education","lineage":["https://openalex.org/I193531525"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hussam Mustafa","raw_affiliation_strings":["Department of Electrical and Computer Engineering, George Washington University, Washington, DC, DC, USA","Dept. of Electr. & Comput. Eng. Washington, George Washington Univ., Washington, DC, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, George Washington University, Washington, DC, DC, USA","institution_ids":["https://openalex.org/I193531525"]},{"raw_affiliation_string":"Dept. of Electr. & Comput. Eng. Washington, George Washington Univ., Washington, DC, USA","institution_ids":["https://openalex.org/I193531525"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5042973603","display_name":"Milo\u0161 Doroslova\u010dki","orcid":"https://orcid.org/0000-0003-4101-3249"},"institutions":[{"id":"https://openalex.org/I193531525","display_name":"George Washington University","ror":"https://ror.org/00y4zzh67","country_code":"US","type":"education","lineage":["https://openalex.org/I193531525"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Milos I. Doroslovacki","raw_affiliation_strings":["Department of Electrical and Computer Engineering, George Washington University, Washington, DC, DC, USA","Dept. of Electr. & Comput. Eng. Washington, George Washington Univ., Washington, DC, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, George Washington University, Washington, DC, DC, USA","institution_ids":["https://openalex.org/I193531525"]},{"raw_affiliation_string":"Dept. of Electr. & Comput. Eng. Washington, George Washington Univ., Washington, DC, USA","institution_ids":["https://openalex.org/I193531525"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5112446735"],"corresponding_institution_ids":["https://openalex.org/I193531525"],"apc_list":null,"apc_paid":null,"fwci":5.7706,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.95870118,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"147","issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12131","display_name":"Wireless Signal Modulation Classification","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T12131","display_name":"Wireless Signal Modulation Classification","score":0.9998999834060669,"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"}},{"id":"https://openalex.org/T12946","display_name":"Fractal and DNA sequence analysis","score":0.9847999811172485,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10891","display_name":"Radar Systems and Signal Processing","score":0.9629999995231628,"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/fading","display_name":"Fading","score":0.6378332376480103},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.5870407819747925},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5070080757141113},{"id":"https://openalex.org/keywords/phase-shift-keying","display_name":"Phase-shift keying","score":0.4974057972431183},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.49034833908081055},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.4441373944282532},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.4230997562408447},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4139617681503296},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.3975973427295685},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.3907191753387451},{"id":"https://openalex.org/keywords/bit-error-rate","display_name":"Bit error rate","score":0.08904451131820679}],"concepts":[{"id":"https://openalex.org/C81978471","wikidata":"https://www.wikidata.org/wiki/Q1196572","display_name":"Fading","level":3,"score":0.6378332376480103},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5870407819747925},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5070080757141113},{"id":"https://openalex.org/C186378180","wikidata":"https://www.wikidata.org/wiki/Q4874866","display_name":"Phase-shift keying","level":4,"score":0.4974057972431183},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.49034833908081055},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.4441373944282532},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.4230997562408447},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4139617681503296},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3975973427295685},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3907191753387451},{"id":"https://openalex.org/C56296756","wikidata":"https://www.wikidata.org/wiki/Q840922","display_name":"Bit error rate","level":3,"score":0.08904451131820679},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ciss.2013.6552345","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ciss.2013.6552345","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 47th Annual Conference on Information Sciences and Systems (CISS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1859408358","https://openalex.org/W1972740834","https://openalex.org/W2014282978","https://openalex.org/W2029263082","https://openalex.org/W2044750954","https://openalex.org/W2068135762","https://openalex.org/W2088331655","https://openalex.org/W2111855076","https://openalex.org/W2114253536","https://openalex.org/W2125242600","https://openalex.org/W2147735901","https://openalex.org/W2161940166","https://openalex.org/W2169557550","https://openalex.org/W2170778725","https://openalex.org/W4292081285"],"related_works":["https://openalex.org/W2327053383","https://openalex.org/W2356834760","https://openalex.org/W1964600846","https://openalex.org/W2127563499","https://openalex.org/W2030191005","https://openalex.org/W1865172210","https://openalex.org/W2027568561","https://openalex.org/W2790025453","https://openalex.org/W1521521035","https://openalex.org/W2047516065"],"abstract_inverted_index":{"In":[0,139],"this":[1],"paper":[2],"we":[3],"propose":[4],"a":[5,62],"feature":[6,20,39,77],"to":[7,29,95,150],"distinguish":[8],"frequency":[9],"from":[10],"amplitude-phase":[11],"digital":[12],"modulations.":[13],"We":[14],"compare":[15],"the":[16,19,43,55,59,70,76,79,105,108,123,135,140,145,151,156],"performance":[17,136],"of":[18,45,54,58,75,107,111,116,122,131,142],"where":[21,31],"every":[22,32],"symbol":[23,33,63,124],"is":[24,34,40,64,93,148],"sampled":[25,35,65],"more":[26,66],"than":[27,67],"once":[28],"that":[30],"only":[36],"once.":[37,68],"The":[38,84],"based":[41,103,158],"on":[42,51,104,134],"product":[44,60],"two":[46],"consecutive":[47],"signal":[48],"values":[49],"and":[50,118,121,126,155],"time":[52],"averaging":[53],"imaginary":[56],"part":[57],"if":[61],"First,":[69],"conditional":[71],"probability":[72,110],"density":[73],"functions":[74],"given":[78],"present":[80],"modulation":[81],"are":[82,101,137],"determined.":[83],"central":[85],"limit":[86],"theorem":[87],"for":[88],"strictly":[89],"stationary":[90],"m-dependent":[91],"sequences":[92],"used":[94],"obtain":[96],"Gaussian":[97],"approximations.":[98],"Then":[99],"thresholds":[100],"determined":[102],"minimization":[106],"total":[109],"misclassification.":[112],"Following":[113],"that,":[114,144],"effects":[115],"fast":[117],"slow":[119],"fading,":[120],"period":[125,133],"delay":[127],"being":[128],"non-integer":[129],"multiples":[130],"sampling":[132],"studied.":[138],"course":[141],"doing":[143],"proposed":[146],"classifier":[147,154,159],"compared":[149],"maximum":[152],"likelihood":[153],"wavelet":[157],"using":[160],"support":[161],"vector":[162],"machine.":[163]},"counts_by_year":[{"year":2019,"cited_by_count":1},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":7},{"year":2014,"cited_by_count":2},{"year":2013,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}