{"id":"https://openalex.org/W2917732451","doi":"https://doi.org/10.1109/glocom.2018.8647903","title":"Optimal Memoryless Pre-Processing and Signal Detection for Impulsive Noise","display_name":"Optimal Memoryless Pre-Processing and Signal Detection for Impulsive Noise","publication_year":2018,"publication_date":"2018-12-01","ids":{"openalex":"https://openalex.org/W2917732451","doi":"https://doi.org/10.1109/glocom.2018.8647903","mag":"2917732451"},"language":"en","primary_location":{"id":"doi:10.1109/glocom.2018.8647903","is_oa":false,"landing_page_url":"https://doi.org/10.1109/glocom.2018.8647903","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE Global Communications Conference (GLOBECOM)","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/A5101923834","display_name":"Guosheng Yang","orcid":null},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Guosheng Yang","raw_affiliation_strings":["National Key Laboratory of Science and Technology on Communications, University of Electronic Science and Technology of China, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"National Key Laboratory of Science and Technology on Communications, University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100384709","display_name":"Jun Wang","orcid":"https://orcid.org/0000-0002-3057-9047"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jun Wang","raw_affiliation_strings":["National Key Laboratory of Science and Technology on Communications, University of Electronic Science and Technology of China, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"National Key Laboratory of Science and Technology on Communications, University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101726280","display_name":"Guoyong Zhang","orcid":"https://orcid.org/0000-0002-6363-3169"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guoyong Zhang","raw_affiliation_strings":["National Key Laboratory of Science and Technology on Communications, University of Electronic Science and Technology of China, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"National Key Laboratory of Science and Technology on Communications, University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055505012","display_name":"Xuanyu Lu","orcid":"https://orcid.org/0000-0003-4634-4741"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xuanyu Lu","raw_affiliation_strings":["Sichuan Jiuzhou Electric Group Co., Ltd. (JEZETEK), Mianyang, China"],"affiliations":[{"raw_affiliation_string":"Sichuan Jiuzhou Electric Group Co., Ltd. (JEZETEK), Mianyang, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5020825307","display_name":"Shaoqian Li","orcid":"https://orcid.org/0000-0001-7030-3195"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shaoqian Li","raw_affiliation_strings":["National Key Laboratory of Science and Technology on Communications, University of Electronic Science and Technology of China, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"National Key Laboratory of Science and Technology on Communications, University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5101923834"],"corresponding_institution_ids":["https://openalex.org/I150229711"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.17404365,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"206","last_page":"212"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12146","display_name":"Power Line Communications and Noise","score":1.0,"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"}},"topics":[{"id":"https://openalex.org/T12146","display_name":"Power Line Communications and Noise","score":1.0,"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/T11233","display_name":"Advanced Adaptive Filtering Techniques","score":0.9980999827384949,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/T11447","display_name":"Blind Source Separation Techniques","score":0.9976999759674072,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6862852573394775},{"id":"https://openalex.org/keywords/signal-processing","display_name":"Signal processing","score":0.6763232946395874},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.6070500016212463},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.6006127595901489},{"id":"https://openalex.org/keywords/matched-filter","display_name":"Matched filter","score":0.5700697898864746},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5510648488998413},{"id":"https://openalex.org/keywords/detection-theory","display_name":"Detection theory","score":0.5477572679519653},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.5409655570983887},{"id":"https://openalex.org/keywords/waveform","display_name":"Waveform","score":0.4642636775970459},{"id":"https://openalex.org/keywords/signal-to-noise-ratio","display_name":"Signal-to-noise ratio (imaging)","score":0.4435114562511444},{"id":"https://openalex.org/keywords/multidimensional-signal-processing","display_name":"Multidimensional signal processing","score":0.4402960538864136},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.40342363715171814},{"id":"https://openalex.org/keywords/digital-signal-processing","display_name":"Digital signal processing","score":0.2675533592700958},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.23089587688446045},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.15184101462364197},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.08120054006576538},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.07480975985527039}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6862852573394775},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.6763232946395874},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.6070500016212463},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.6006127595901489},{"id":"https://openalex.org/C50151734","wikidata":"https://www.wikidata.org/wiki/Q1759577","display_name":"Matched filter","level":3,"score":0.5700697898864746},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5510648488998413},{"id":"https://openalex.org/C137270730","wikidata":"https://www.wikidata.org/wiki/Q120811","display_name":"Detection theory","level":3,"score":0.5477572679519653},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.5409655570983887},{"id":"https://openalex.org/C197424946","wikidata":"https://www.wikidata.org/wiki/Q1165717","display_name":"Waveform","level":3,"score":0.4642636775970459},{"id":"https://openalex.org/C13944312","wikidata":"https://www.wikidata.org/wiki/Q7512748","display_name":"Signal-to-noise ratio (imaging)","level":2,"score":0.4435114562511444},{"id":"https://openalex.org/C501101116","wikidata":"https://www.wikidata.org/wiki/Q18378116","display_name":"Multidimensional signal processing","level":4,"score":0.4402960538864136},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.40342363715171814},{"id":"https://openalex.org/C84462506","wikidata":"https://www.wikidata.org/wiki/Q173142","display_name":"Digital signal processing","level":2,"score":0.2675533592700958},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.23089587688446045},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.15184101462364197},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.08120054006576538},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.07480975985527039},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"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/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.0},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/glocom.2018.8647903","is_oa":false,"landing_page_url":"https://doi.org/10.1109/glocom.2018.8647903","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE Global Communications Conference (GLOBECOM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W62719046","https://openalex.org/W1484664922","https://openalex.org/W1521207191","https://openalex.org/W1540920731","https://openalex.org/W1543826209","https://openalex.org/W1974513799","https://openalex.org/W2009804951","https://openalex.org/W2012595809","https://openalex.org/W2028341025","https://openalex.org/W2044066528","https://openalex.org/W2075295072","https://openalex.org/W2130927920","https://openalex.org/W2296319761","https://openalex.org/W2325980633","https://openalex.org/W2548019060","https://openalex.org/W2567963522","https://openalex.org/W2595396246","https://openalex.org/W2768475449","https://openalex.org/W2798333393","https://openalex.org/W4245808720","https://openalex.org/W4250589301"],"related_works":["https://openalex.org/W4362661884","https://openalex.org/W2467620780","https://openalex.org/W3164127805","https://openalex.org/W2166635617","https://openalex.org/W3151836631","https://openalex.org/W1966320733","https://openalex.org/W1979788783","https://openalex.org/W4238211170","https://openalex.org/W1506275581","https://openalex.org/W1919129342"],"abstract_inverted_index":{"In":[0,20,105,127,145],"many":[1],"communication":[2],"scenarios,":[3],"the":[4,25,39,56,75,79,91,95,109,112,117,134,138,184,192,201,205],"signal":[5,26,96,115,119,140,210],"is":[6,12,42,102,124,131,168,177],"corrupted":[7],"by":[8],"impulsive":[9],"noise,":[10],"which":[11],"modeled":[13],"as":[14,197],"symmetric":[15],"\u03b1-":[16],"stable":[17],"(S\u03b1S)":[18],"distribution.":[19],"this":[21,71,146],"paper,":[22],"we":[23,64],"investigate":[24],"pre-processing":[27,46,69,81,93,113,187,208],"and":[28,83,170],"detection":[29,97,120,166,211],"techniques":[30],"in":[31,48,70,121],"S\u03b1S":[32,49,100,122],"noise.":[33],"Due":[34],"to":[35,53,107],"its":[36,54,156,171],"near-optimal":[37],"performance,":[38],"myriad":[40,57,198],"filter":[41,58],"a":[43,85,160],"commonly":[44],"used":[45],"method":[47,98,188],"nolse.":[50],"However,":[51],"due":[52],"memory,":[55],"has":[59],"high":[60],"computation":[61],"complexity.":[62],"Hence,":[63],"propose":[65,84],"an":[66],"optimal":[67,118,216],"memoryless":[68,80,186,207],"paper.":[72],"We":[73],"provide":[74],"criteria":[76],"of":[77,111,137,204,215],"optimizing":[78],"function":[82],"feasible":[86],"optimization":[87],"procedure.":[88],"Based":[89],"on":[90,154],"obtained":[92],"method,":[94],"for":[99],"noise":[101,123],"further":[103],"investigated.":[104],"order":[106],"evaluate":[108],"performance":[110,196,203],"based":[114,209],"detection,":[116],"also":[125,178],"studied.":[126],"our":[128],"work,":[129],"it":[130],"assumed":[132],"that":[133,183,214],"pulse":[135],"shape":[136],"transmitted":[139,149],"occupies":[141],"multiple":[142,161],"symbol":[143,150,173],"periods.":[144],"case,":[147],"each":[148],"will":[151],"have":[152],"influence":[153],"detecting":[155],"following":[157],"symbols.":[158],"Thus,":[159],"symbols":[162],"aided":[163],"maximum":[164],"likelihood":[165],"(MLD)":[167],"proposed,":[169],"theoretical":[172],"error":[174],"rate":[175],"(SER)":[176],"analyzed.":[179],"Simulation":[180],"results":[181],"verify":[182],"proposed":[185,206],"can":[189,212],"achieve":[190],"nearly":[191],"same":[193],"waveform":[194],"recovery":[195],"filter.":[199],"Moreover,":[200],"SER":[202],"approach":[213],"MLD.":[217]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
