{"id":"https://openalex.org/W3045874717","doi":"https://doi.org/10.25080/majora-342d178e-00e","title":"Matched Filter Mismatch Losses in MPSK and MQAM Using Semi-Analytic BEP Modeling","display_name":"Matched Filter Mismatch Losses in MPSK and MQAM Using Semi-Analytic BEP Modeling","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3045874717","doi":"https://doi.org/10.25080/majora-342d178e-00e","mag":"3045874717"},"language":"en","primary_location":{"id":"doi:10.25080/majora-342d178e-00e","is_oa":true,"landing_page_url":"https://doi.org/10.25080/majora-342d178e-00e","pdf_url":"http://conference.scipy.org/proceedings/scipy2020/pdfs/mark_wickert_239.pdf","source":{"id":"https://openalex.org/S4220651651","display_name":"Proceedings of the Python in Science Conferences","issn_l":"2575-9752","issn":["2575-9752"],"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Python in Science Conference","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"http://conference.scipy.org/proceedings/scipy2020/pdfs/mark_wickert_239.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5078812719","display_name":"M.A. Wickert","orcid":"https://orcid.org/0000-0002-8302-3835"},"institutions":[{"id":"https://openalex.org/I888729015","display_name":"University of Colorado Colorado Springs","ror":"https://ror.org/054spjc55","country_code":"US","type":"education","lineage":["https://openalex.org/I888729015"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Mark Wickert","raw_affiliation_strings":["University of Colorado Colorado Springs"],"raw_orcid":"https://orcid.org/0000-0002-8302-3835","affiliations":[{"raw_affiliation_string":"University of Colorado Colorado Springs","institution_ids":["https://openalex.org/I888729015"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5078064180","display_name":"D. W. Peckham","orcid":null},"institutions":[{"id":"https://openalex.org/I888729015","display_name":"University of Colorado Colorado Springs","ror":"https://ror.org/054spjc55","country_code":"US","type":"education","lineage":["https://openalex.org/I888729015"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"David Peckham","raw_affiliation_strings":["University of Colorado Colorado Springs"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Colorado Colorado Springs","institution_ids":["https://openalex.org/I888729015"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5078812719"],"corresponding_institution_ids":["https://openalex.org/I888729015"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"98","last_page":"106"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11233","display_name":"Advanced Adaptive Filtering Techniques","score":0.9997000098228455,"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"}},"topics":[{"id":"https://openalex.org/T11233","display_name":"Advanced Adaptive Filtering Techniques","score":0.9997000098228455,"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/T10125","display_name":"Advanced Wireless Communication Techniques","score":0.9995999932289124,"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/T11873","display_name":"PAPR reduction in OFDM","score":0.9990000128746033,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/additive-white-gaussian-noise","display_name":"Additive white Gaussian noise","score":0.6123195886611938},{"id":"https://openalex.org/keywords/quadrature-amplitude-modulation","display_name":"Quadrature amplitude modulation","score":0.5884310007095337},{"id":"https://openalex.org/keywords/phase-shift-keying","display_name":"Phase-shift keying","score":0.5672250390052795},{"id":"https://openalex.org/keywords/raised-cosine-filter","display_name":"Raised-cosine filter","score":0.5336998701095581},{"id":"https://openalex.org/keywords/electronic-engineering","display_name":"Electronic engineering","score":0.4385233521461487},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4384954273700714},{"id":"https://openalex.org/keywords/qam","display_name":"QAM","score":0.4313589036464691},{"id":"https://openalex.org/keywords/spectral-efficiency","display_name":"Spectral efficiency","score":0.42167091369628906},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.3875887095928192},{"id":"https://openalex.org/keywords/bandwidth","display_name":"Bandwidth (computing)","score":0.38307297229766846},{"id":"https://openalex.org/keywords/white-noise","display_name":"White noise","score":0.37714695930480957},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.3695567846298218},{"id":"https://openalex.org/keywords/root-raised-cosine-filter","display_name":"Root-raised-cosine filter","score":0.32787466049194336},{"id":"https://openalex.org/keywords/bit-error-rate","display_name":"Bit error rate","score":0.32697200775146484},{"id":"https://openalex.org/keywords/digital-filter","display_name":"Digital filter","score":0.23252129554748535},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.21436649560928345},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1561022400856018}],"concepts":[{"id":"https://openalex.org/C169334058","wikidata":"https://www.wikidata.org/wiki/Q353292","display_name":"Additive white Gaussian noise","level":3,"score":0.6123195886611938},{"id":"https://openalex.org/C32409245","wikidata":"https://www.wikidata.org/wiki/Q749753","display_name":"Quadrature amplitude modulation","level":4,"score":0.5884310007095337},{"id":"https://openalex.org/C186378180","wikidata":"https://www.wikidata.org/wiki/Q4874866","display_name":"Phase-shift keying","level":4,"score":0.5672250390052795},{"id":"https://openalex.org/C51426754","wikidata":"https://www.wikidata.org/wiki/Q1430919","display_name":"Raised-cosine filter","level":5,"score":0.5336998701095581},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.4385233521461487},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4384954273700714},{"id":"https://openalex.org/C59030546","wikidata":"https://www.wikidata.org/wiki/Q7265371","display_name":"QAM","level":5,"score":0.4313589036464691},{"id":"https://openalex.org/C137246740","wikidata":"https://www.wikidata.org/wiki/Q583970","display_name":"Spectral efficiency","level":3,"score":0.42167091369628906},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3875887095928192},{"id":"https://openalex.org/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.38307297229766846},{"id":"https://openalex.org/C112633086","wikidata":"https://www.wikidata.org/wiki/Q381287","display_name":"White noise","level":2,"score":0.37714695930480957},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.3695567846298218},{"id":"https://openalex.org/C76826599","wikidata":"https://www.wikidata.org/wiki/Q1248611","display_name":"Root-raised-cosine filter","level":4,"score":0.32787466049194336},{"id":"https://openalex.org/C56296756","wikidata":"https://www.wikidata.org/wiki/Q840922","display_name":"Bit error rate","level":3,"score":0.32697200775146484},{"id":"https://openalex.org/C36390408","wikidata":"https://www.wikidata.org/wiki/Q1163067","display_name":"Digital filter","level":3,"score":0.23252129554748535},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.21436649560928345},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1561022400856018}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.25080/majora-342d178e-00e","is_oa":true,"landing_page_url":"https://doi.org/10.25080/majora-342d178e-00e","pdf_url":"http://conference.scipy.org/proceedings/scipy2020/pdfs/mark_wickert_239.pdf","source":{"id":"https://openalex.org/S4220651651","display_name":"Proceedings of the Python in Science Conferences","issn_l":"2575-9752","issn":["2575-9752"],"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Python in Science Conference","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.25080/majora-342d178e-00e","is_oa":true,"landing_page_url":"https://doi.org/10.25080/majora-342d178e-00e","pdf_url":"http://conference.scipy.org/proceedings/scipy2020/pdfs/mark_wickert_239.pdf","source":{"id":"https://openalex.org/S4220651651","display_name":"Proceedings of the Python in Science Conferences","issn_l":"2575-9752","issn":["2575-9752"],"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Python in Science Conference","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3045874717.pdf","grobid_xml":"https://content.openalex.org/works/W3045874717.grobid-xml"},"referenced_works_count":9,"referenced_works":["https://openalex.org/W136277476","https://openalex.org/W1483937536","https://openalex.org/W1513610530","https://openalex.org/W1554924744","https://openalex.org/W2122125886","https://openalex.org/W2145417574","https://openalex.org/W2152670498","https://openalex.org/W2610335499","https://openalex.org/W3128611524"],"related_works":["https://openalex.org/W4390873927","https://openalex.org/W2147334234","https://openalex.org/W2159438609","https://openalex.org/W2900995485","https://openalex.org/W1991978401","https://openalex.org/W3196902411","https://openalex.org/W2064534496","https://openalex.org/W2122253935","https://openalex.org/W4247508912","https://openalex.org/W2979776991"],"abstract_inverted_index":{"The":[0,23,62],"focus":[1],"of":[2,64,89],"this":[3,65],"paper":[4,66],"is":[5,45,115],"the":[6,14,32,58,70,86,119,132,137],"bit":[7],"error":[8,77],"probability":[9,78],"(BEP)":[10],"performance":[11],"degradation":[12,109],"when":[13,118],"transmit":[15,81],"and":[16,29,42,60,82,98,102],"receive":[17,83],"pulse":[18,54],"shaping":[19,55],"filters":[20],"are":[21,27],"mismatched.":[22],"modulation":[24,133],"schemes":[25],"considered":[26],"MPSK":[28,97],"MQAM.":[30],"In":[31],"additive":[33],"white":[34],"Gaussian":[35],"noise":[36,43],"(AWGN)":[37],"channel":[38],"both":[39,57],"spectral":[40],"efficiency":[41],"mitigation":[44],"commonly":[46],"achieved":[47],"by":[48],"using":[49],"square-root":[50],"raised":[51],"cosine":[52],"(SRC)":[53],"at":[56,110],"transmitter":[59],"receiver.":[61],"novelty":[63],"primarily":[67],"lies":[68],"in":[69],"use":[71],"semi-analytic":[72],"BEP":[73,111],"simulation":[74],"for":[75],"conditional":[76],"calculations,":[79],"with":[80],"filter":[84],"mismatch,":[85],"optional":[87],"inclusion":[88],"a":[90],"small":[91],"FIR":[92],"equalizer.":[93],"For":[94],"lower":[95],"order":[96,134],"MQAM,":[99],"i.e.,":[100],"8PSK":[101],"16QAM":[103],"E":[104],"b":[105],"/N":[106],"0":[107],"power":[108],"=":[112,124],"10":[113],"-6":[114],"0.1":[116],"dB":[117],"excess":[120],"bandwidth":[121],"mismatch":[122,138],"tx/rx":[123],"0.25/0.35":[125],"or":[126],"0.35/0.25,":[127],"but":[128],"quickly":[129],"grows":[130],"as":[131],"increases":[135],"and/or":[136],"increases.":[139]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}