{"id":"https://openalex.org/W1990027327","doi":"https://doi.org/10.1109/nabic.2009.5393850","title":"Classification system for digital signal types using neuro fuzzy system and PSO","display_name":"Classification system for digital signal types using neuro fuzzy system and PSO","publication_year":2009,"publication_date":"2009-01-01","ids":{"openalex":"https://openalex.org/W1990027327","doi":"https://doi.org/10.1109/nabic.2009.5393850","mag":"1990027327"},"language":"en","primary_location":{"id":"doi:10.1109/nabic.2009.5393850","is_oa":false,"landing_page_url":"https://doi.org/10.1109/nabic.2009.5393850","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 World Congress on Nature & Biologically Inspired Computing (NaBIC)","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/A5009422688","display_name":"A.A. Khurshid","orcid":"https://orcid.org/0000-0001-9850-5928"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"A.A. Khurshid","raw_affiliation_strings":["Priyadarshini College of Engineering, Nagpur, India","Priyadarshini College Of Engineering, Nagpur, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Priyadarshini College of Engineering, Nagpur, India","institution_ids":[]},{"raw_affiliation_string":"Priyadarshini College Of Engineering, Nagpur, India","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5110271693","display_name":"A.P. Gokhale","orcid":null},"institutions":[{"id":"https://openalex.org/I167153416","display_name":"Visvesvaraya National Institute of Technology","ror":"https://ror.org/02zrtpp84","country_code":"IN","type":"education","lineage":["https://openalex.org/I167153416"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"A.P. Gokhale","raw_affiliation_strings":["Visvesvaraya National Institute of Technology, Nagpur, India","Visvesvaraya National Institute of Technology-Nagpur, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Visvesvaraya National Institute of Technology, Nagpur, India","institution_ids":["https://openalex.org/I167153416"]},{"raw_affiliation_string":"Visvesvaraya National Institute of Technology-Nagpur, India","institution_ids":["https://openalex.org/I167153416"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.453,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.72196719,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"5","issue":null,"first_page":"373","last_page":"378"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12131","display_name":"Wireless Signal Modulation Classification","score":0.9980999827384949,"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":0.9980999827384949,"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/T10320","display_name":"Neural Networks and Applications","score":0.994700014591217,"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":0.972599983215332,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.721701443195343},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6437162756919861},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6232689619064331},{"id":"https://openalex.org/keywords/principal-component-analysis","display_name":"Principal component analysis","score":0.5811375975608826},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5475413203239441},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5425373911857605},{"id":"https://openalex.org/keywords/particle-swarm-optimization","display_name":"Particle swarm optimization","score":0.5230987071990967},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.4680478274822235},{"id":"https://openalex.org/keywords/identifier","display_name":"Identifier","score":0.4405686855316162},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.35203906893730164},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.32785701751708984}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.721701443195343},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6437162756919861},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6232689619064331},{"id":"https://openalex.org/C27438332","wikidata":"https://www.wikidata.org/wiki/Q2873","display_name":"Principal component analysis","level":2,"score":0.5811375975608826},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5475413203239441},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5425373911857605},{"id":"https://openalex.org/C85617194","wikidata":"https://www.wikidata.org/wiki/Q2072794","display_name":"Particle swarm optimization","level":2,"score":0.5230987071990967},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.4680478274822235},{"id":"https://openalex.org/C154504017","wikidata":"https://www.wikidata.org/wiki/Q853614","display_name":"Identifier","level":2,"score":0.4405686855316162},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.35203906893730164},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.32785701751708984},{"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/nabic.2009.5393850","is_oa":false,"landing_page_url":"https://doi.org/10.1109/nabic.2009.5393850","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 World Congress on Nature & Biologically Inspired Computing (NaBIC)","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":31,"referenced_works":["https://openalex.org/W1776842673","https://openalex.org/W1916913253","https://openalex.org/W1994162978","https://openalex.org/W2001376486","https://openalex.org/W2019207321","https://openalex.org/W2020321263","https://openalex.org/W2031030653","https://openalex.org/W2042272696","https://openalex.org/W2102693176","https://openalex.org/W2102712118","https://openalex.org/W2107850229","https://openalex.org/W2111189387","https://openalex.org/W2130014182","https://openalex.org/W2133458583","https://openalex.org/W2135420943","https://openalex.org/W2138288041","https://openalex.org/W2143517586","https://openalex.org/W2148445536","https://openalex.org/W2153538387","https://openalex.org/W2333892472","https://openalex.org/W2481324571","https://openalex.org/W2533232766","https://openalex.org/W2543451298","https://openalex.org/W3025648825","https://openalex.org/W6675474701","https://openalex.org/W6676487154","https://openalex.org/W6679741694","https://openalex.org/W6680439231","https://openalex.org/W6681843405","https://openalex.org/W6729208426","https://openalex.org/W6777622052"],"related_works":["https://openalex.org/W4378651134","https://openalex.org/W1975632186","https://openalex.org/W4252684102","https://openalex.org/W2352307597","https://openalex.org/W1979633005","https://openalex.org/W2163724607","https://openalex.org/W3135403405","https://openalex.org/W3027745756","https://openalex.org/W3205213561","https://openalex.org/W2608983118"],"abstract_inverted_index":{"Automatic":[0],"identification":[1,97],"of":[2,7,27,35,57,63,75,78,98,101],"digital":[3,28,102],"signal":[4,20,103],"types":[5],"is":[6,81,112],"interest":[8],"for":[9,73,96],"both":[10],"civil":[11],"and":[12,37,124],"military":[13],"applications.":[14],"This":[15,109],"paper":[16],"presents":[17],"an":[18,43],"efficient":[19],"type":[21],"identifier":[22],"that":[23,89],"includes":[24],"a":[25,33,84],"variety":[26],"signals.":[29],"In":[30],"this":[31],"method,":[32],"combination":[34],"spectral":[36],"statistical":[38],"features":[39,50],"are":[40,51],"used":[41,82],"as":[42,83],"input":[44],"to":[45,59],"the":[46,49,55,61,76,79,90],"classifier.":[47,85],"Also":[48],"weighted":[52],"based":[53],"on":[54],"degree":[56],"dispersion":[58],"increase":[60],"effect":[62],"features.":[64],"A":[65],"fuzzy":[66],"neural":[67],"network":[68,80,125],"with":[69,114],"swarm":[70,128],"intelligence":[71],"(SI)":[72],"adjustment":[74],"parameters":[77,126],"Simulations":[86],"results":[87],"show":[88],"proposed":[91],"method":[92],"has":[93],"high":[94,110],"performance":[95],"different":[99],"kinds":[100],"even":[104],"at":[105],"very":[106],"low":[107],"SNRs.":[108],"efficiency":[111],"achieved":[113],"features,":[115],"which":[116],"have":[117],"been":[118],"selected":[119],"using":[120,127],"principal":[121],"component":[122],"analysis":[123],"optimizer.":[129]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}