{"id":"https://openalex.org/W2041196539","doi":"https://doi.org/10.1109/vtcfall.2012.6399032","title":"Effect of Channel Noise on Fractionally Spaced CMA and MMA","display_name":"Effect of Channel Noise on Fractionally Spaced CMA and MMA","publication_year":2012,"publication_date":"2012-09-01","ids":{"openalex":"https://openalex.org/W2041196539","doi":"https://doi.org/10.1109/vtcfall.2012.6399032","mag":"2041196539"},"language":"en","primary_location":{"id":"doi:10.1109/vtcfall.2012.6399032","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vtcfall.2012.6399032","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 IEEE Vehicular Technology Conference (VTC Fall)","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/A5090320747","display_name":"Jenq-Tay Yuan","orcid":null},"institutions":[{"id":"https://openalex.org/I114150738","display_name":"Fu Jen Catholic University","ror":"https://ror.org/04je98850","country_code":"TW","type":"education","lineage":["https://openalex.org/I114150738"]}],"countries":["TW"],"is_corresponding":true,"raw_author_name":"Jenq-Tay Yuan","raw_affiliation_strings":["Graduate Institute of Applied Science and Engineering, Fu Jen Catholic University, Taipei, Taiwan","Grad. Inst. of Appl. Sci. & Eng., Fu Jen Catholic Univ., Taipei, Taiwan"],"affiliations":[{"raw_affiliation_string":"Graduate Institute of Applied Science and Engineering, Fu Jen Catholic University, Taipei, Taiwan","institution_ids":["https://openalex.org/I114150738"]},{"raw_affiliation_string":"Grad. Inst. of Appl. Sci. & Eng., Fu Jen Catholic Univ., Taipei, Taiwan","institution_ids":["https://openalex.org/I114150738"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035439008","display_name":"Jen-Hung Chao","orcid":null},"institutions":[{"id":"https://openalex.org/I114150738","display_name":"Fu Jen Catholic University","ror":"https://ror.org/04je98850","country_code":"TW","type":"education","lineage":["https://openalex.org/I114150738"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Jen-Hung Chao","raw_affiliation_strings":["Department of Electrical Engineering, Fu Jen Catholic University, Taipei, Taiwan","Dept. of Electr.Eng., Fu-Jen Catholic Univ., Taipei, Taiwan"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Fu Jen Catholic University, Taipei, Taiwan","institution_ids":["https://openalex.org/I114150738"]},{"raw_affiliation_string":"Dept. of Electr.Eng., Fu-Jen Catholic Univ., Taipei, Taiwan","institution_ids":["https://openalex.org/I114150738"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101896783","display_name":"Tzu-Chao Lin","orcid":"https://orcid.org/0000-0003-2901-7167"},"institutions":[{"id":"https://openalex.org/I114150738","display_name":"Fu Jen Catholic University","ror":"https://ror.org/04je98850","country_code":"TW","type":"education","lineage":["https://openalex.org/I114150738"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Tzu-Chao Lin","raw_affiliation_strings":["Graduate Institute of Applied Science and Engineering, Fu Jen Catholic University, Taipei, Taiwan","Grad. Inst. of Appl. Sci. & Eng., Fu Jen Catholic Univ., Taipei, Taiwan"],"affiliations":[{"raw_affiliation_string":"Graduate Institute of Applied Science and Engineering, Fu Jen Catholic University, Taipei, Taiwan","institution_ids":["https://openalex.org/I114150738"]},{"raw_affiliation_string":"Grad. Inst. of Appl. Sci. & Eng., Fu Jen Catholic Univ., Taipei, Taiwan","institution_ids":["https://openalex.org/I114150738"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5090320747"],"corresponding_institution_ids":["https://openalex.org/I114150738"],"apc_list":null,"apc_paid":null,"fwci":0.2448,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.53940602,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation Techniques","score":0.9998999834060669,"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":0.9998999834060669,"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/T11233","display_name":"Advanced Adaptive Filtering Techniques","score":0.9635000228881836,"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/T11269","display_name":"Algorithms and Data Compression","score":0.9535999894142151,"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/robustness","display_name":"Robustness (evolution)","score":0.7203723192214966},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.6380345821380615},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.57637619972229},{"id":"https://openalex.org/keywords/sensitivity","display_name":"Sensitivity (control systems)","score":0.5245839953422546},{"id":"https://openalex.org/keywords/signal-to-noise-ratio","display_name":"Signal-to-noise ratio (imaging)","score":0.46099284291267395},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.39184653759002686},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.37372827529907227},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.36850959062576294},{"id":"https://openalex.org/keywords/acoustics","display_name":"Acoustics","score":0.3568909168243408},{"id":"https://openalex.org/keywords/electronic-engineering","display_name":"Electronic engineering","score":0.2208484411239624},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.19349288940429688},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.17202183604240417},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.16438961029052734},{"id":"https://openalex.org/keywords/chemistry","display_name":"Chemistry","score":0.0628075897693634}],"concepts":[{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.7203723192214966},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.6380345821380615},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.57637619972229},{"id":"https://openalex.org/C21200559","wikidata":"https://www.wikidata.org/wiki/Q7451068","display_name":"Sensitivity (control systems)","level":2,"score":0.5245839953422546},{"id":"https://openalex.org/C13944312","wikidata":"https://www.wikidata.org/wiki/Q7512748","display_name":"Signal-to-noise ratio (imaging)","level":2,"score":0.46099284291267395},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.39184653759002686},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.37372827529907227},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.36850959062576294},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.3568909168243408},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.2208484411239624},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.19349288940429688},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.17202183604240417},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.16438961029052734},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0628075897693634},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","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/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/vtcfall.2012.6399032","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vtcfall.2012.6399032","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 IEEE Vehicular Technology Conference (VTC Fall)","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":17,"referenced_works":["https://openalex.org/W1487317888","https://openalex.org/W2097987904","https://openalex.org/W2103004379","https://openalex.org/W2106057402","https://openalex.org/W2114635550","https://openalex.org/W2117837779","https://openalex.org/W2118614291","https://openalex.org/W2123329561","https://openalex.org/W2145060714","https://openalex.org/W2152623266","https://openalex.org/W2152849401","https://openalex.org/W2162130927","https://openalex.org/W2171207156","https://openalex.org/W2612977707","https://openalex.org/W3022931967","https://openalex.org/W6629072456","https://openalex.org/W6678283262"],"related_works":["https://openalex.org/W2770593030","https://openalex.org/W3154990682","https://openalex.org/W2560201613","https://openalex.org/W2171975302","https://openalex.org/W2022352247","https://openalex.org/W4312219546","https://openalex.org/W2378757965","https://openalex.org/W2377538627","https://openalex.org/W2107220315","https://openalex.org/W2314095971"],"abstract_inverted_index":{"This":[0],"paper":[1],"analyzes":[2],"and":[3,13,55,89,116],"compares":[4],"the":[5,8,18,25,28,35,41,53,56,60,63,80,83,87,98,105,111],"robustness":[6],"of":[7,20,34,37,45,62,68,72,82,101],"constant":[9],"modulus":[10],"algorithm":[11,15],"(CMA)":[12],"multimodulus":[14],"(MMA)":[16],"in":[17,43],"presence":[19],"additive":[21],"channel":[22,26,66,108],"noise":[23,67,109],"when":[24,110],"satisfies":[27],"zero-forcing":[29],"conditions.":[30],"A":[31],"generalized":[32],"formulation":[33],"relocation":[36,81],"stationary":[38,84],"points":[39,85],"toward":[40],"origin":[42],"terms":[44],"signal-to-noise":[46],"ratio":[47],"(SNR)":[48],"was":[49],"developed":[50],"for":[51,74,86],"both":[52],"CMA":[54,69,90,114],"MMA":[57,73,88,119],"to":[58,65,96,107],"facilitate":[59],"comparison":[61],"sensitivity":[64,106],"with":[70,125],"that":[71],"various":[75,126],"source":[76],"constellations.":[77],"Relationships":[78],"between":[79],"were":[91,123],"derived.":[92],"Simulation":[93],"results":[94,100],"appear":[95],"confirm":[97],"main":[99],"this":[102],"work,":[103],"regarding":[104],"fractionally":[112,117],"spaced":[113,118],"(FS-CMA)":[115],"(FS-":[120],"MMA)":[121],"criteria":[122],"applied":[124],"sources.":[127]},"counts_by_year":[{"year":2013,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
