{"id":"https://openalex.org/W2103019226","doi":"https://doi.org/10.1109/wcnc.2006.1696597","title":"Effects of impulse noise on the performance of multidimensional parity check codes","display_name":"Effects of impulse noise on the performance of multidimensional parity check codes","publication_year":2006,"publication_date":"2006-01-01","ids":{"openalex":"https://openalex.org/W2103019226","doi":"https://doi.org/10.1109/wcnc.2006.1696597","mag":"2103019226"},"language":"en","primary_location":{"id":"doi:10.1109/wcnc.2006.1696597","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wcnc.2006.1696597","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Wireless Communications and Networking Conference, 2006. WCNC 2006.","raw_type":"proceedings-article"},"type":"conference-paper","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/A5033223296","display_name":"SaiRamesh Nammi","orcid":null},"institutions":[{"id":"https://openalex.org/I10052268","display_name":"New Mexico State University","ror":"https://ror.org/00hpz7z43","country_code":"US","type":"education","lineage":["https://openalex.org/I10052268"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"S. Nammi","raw_affiliation_strings":["Klipsch School of Electrical & Computer Engineering, New Mexico State University, Las Cruces, NM, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Klipsch School of Electrical & Computer Engineering, New Mexico State University, Las Cruces, NM, USA","institution_ids":["https://openalex.org/I10052268"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011304936","display_name":"Deva K. Borah","orcid":"https://orcid.org/0000-0003-3486-5080"},"institutions":[{"id":"https://openalex.org/I10052268","display_name":"New Mexico State University","ror":"https://ror.org/00hpz7z43","country_code":"US","type":"education","lineage":["https://openalex.org/I10052268"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"D.K. Borah","raw_affiliation_strings":["Klipsch School of Electrical & Computer Engineering, New Mexico State University, Las Cruces, NM, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Klipsch School of Electrical & Computer Engineering, New Mexico State University, Las Cruces, NM, USA","institution_ids":["https://openalex.org/I10052268"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006895257","display_name":"Christian Schneider","orcid":"https://orcid.org/0000-0003-1833-4562"},"institutions":[{"id":"https://openalex.org/I119449181","display_name":"Technische Universit\u00e4t Ilmenau","ror":"https://ror.org/01weqhp73","country_code":"DE","type":"education","lineage":["https://openalex.org/I119449181"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"C. Schneider","raw_affiliation_strings":["Technische Universitat Ilmenau, Ilmenau, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Technische Universitat Ilmenau, Ilmenau, Germany","institution_ids":["https://openalex.org/I119449181"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5059969592","display_name":"Reiner S. Thom\u00e4","orcid":"https://orcid.org/0000-0002-9254-814X"},"institutions":[{"id":"https://openalex.org/I119449181","display_name":"Technische Universit\u00e4t Ilmenau","ror":"https://ror.org/01weqhp73","country_code":"DE","type":"education","lineage":["https://openalex.org/I119449181"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"R. Thoma","raw_affiliation_strings":["Technische Universitat Ilmenau, Ilmenau, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Technische Universitat Ilmenau, Ilmenau, Germany","institution_ids":["https://openalex.org/I119449181"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"1","issue":null,"first_page":"1966","last_page":"1971"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10125","display_name":"Advanced Wireless Communication Techniques","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/T10125","display_name":"Advanced Wireless Communication Techniques","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/T11321","display_name":"Error Correcting Code Techniques","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T12146","display_name":"Power Line Communications and Noise","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"}}],"keywords":[{"id":"https://openalex.org/keywords/impulse-noise","display_name":"Impulse noise","score":0.7729296684265137},{"id":"https://openalex.org/keywords/turbo-code","display_name":"Turbo code","score":0.6002418994903564},{"id":"https://openalex.org/keywords/gaussian-noise","display_name":"Gaussian noise","score":0.5752995610237122},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5665377974510193},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5465691685676575},{"id":"https://openalex.org/keywords/fading","display_name":"Fading","score":0.5446476340293884},{"id":"https://openalex.org/keywords/rayleigh-fading","display_name":"Rayleigh fading","score":0.5199809670448303},{"id":"https://openalex.org/keywords/impulse","display_name":"Impulse (physics)","score":0.4736976623535156},{"id":"https://openalex.org/keywords/convolutional-code","display_name":"Convolutional code","score":0.4532311260700226},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.45159363746643066},{"id":"https://openalex.org/keywords/additive-white-gaussian-noise","display_name":"Additive white Gaussian noise","score":0.44091448187828064},{"id":"https://openalex.org/keywords/low-density-parity-check-code","display_name":"Low-density parity-check code","score":0.42718878388404846},{"id":"https://openalex.org/keywords/electronic-engineering","display_name":"Electronic engineering","score":0.3544808626174927},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3298521637916565},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.2785336375236511},{"id":"https://openalex.org/keywords/white-noise","display_name":"White noise","score":0.19460731744766235},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1473415493965149},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.12817591428756714},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.10422086715698242}],"concepts":[{"id":"https://openalex.org/C127372701","wikidata":"https://www.wikidata.org/wiki/Q16979398","display_name":"Impulse noise","level":3,"score":0.7729296684265137},{"id":"https://openalex.org/C114504821","wikidata":"https://www.wikidata.org/wiki/Q2164281","display_name":"Turbo code","level":3,"score":0.6002418994903564},{"id":"https://openalex.org/C4199805","wikidata":"https://www.wikidata.org/wiki/Q2725903","display_name":"Gaussian noise","level":2,"score":0.5752995610237122},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5665377974510193},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5465691685676575},{"id":"https://openalex.org/C81978471","wikidata":"https://www.wikidata.org/wiki/Q1196572","display_name":"Fading","level":3,"score":0.5446476340293884},{"id":"https://openalex.org/C56985126","wikidata":"https://www.wikidata.org/wiki/Q854039","display_name":"Rayleigh fading","level":4,"score":0.5199809670448303},{"id":"https://openalex.org/C70836080","wikidata":"https://www.wikidata.org/wiki/Q837940","display_name":"Impulse (physics)","level":2,"score":0.4736976623535156},{"id":"https://openalex.org/C157899210","wikidata":"https://www.wikidata.org/wiki/Q1395022","display_name":"Convolutional code","level":3,"score":0.4532311260700226},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.45159363746643066},{"id":"https://openalex.org/C169334058","wikidata":"https://www.wikidata.org/wiki/Q353292","display_name":"Additive white Gaussian noise","level":3,"score":0.44091448187828064},{"id":"https://openalex.org/C67692717","wikidata":"https://www.wikidata.org/wiki/Q187444","display_name":"Low-density parity-check code","level":3,"score":0.42718878388404846},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.3544808626174927},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3298521637916565},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.2785336375236511},{"id":"https://openalex.org/C112633086","wikidata":"https://www.wikidata.org/wiki/Q381287","display_name":"White noise","level":2,"score":0.19460731744766235},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1473415493965149},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.12817591428756714},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.10422086715698242},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/wcnc.2006.1696597","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wcnc.2006.1696597","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Wireless Communications and Networking Conference, 2006. WCNC 2006.","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5199999809265137,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W329635110","https://openalex.org/W1546828478","https://openalex.org/W1820859170","https://openalex.org/W2024491123","https://openalex.org/W2078083046","https://openalex.org/W2101637789","https://openalex.org/W2111702836","https://openalex.org/W2121606987","https://openalex.org/W2126813496","https://openalex.org/W2135067443","https://openalex.org/W2141619954","https://openalex.org/W2143781601","https://openalex.org/W2146694142","https://openalex.org/W2157528496","https://openalex.org/W2159847410","https://openalex.org/W2165155912","https://openalex.org/W2479691465","https://openalex.org/W2987657883","https://openalex.org/W6632777794","https://openalex.org/W6638545399"],"related_works":["https://openalex.org/W2159911483","https://openalex.org/W2358415454","https://openalex.org/W2158222171","https://openalex.org/W2169710030","https://openalex.org/W2092269370","https://openalex.org/W2088295822","https://openalex.org/W2148668421","https://openalex.org/W2970575518","https://openalex.org/W2108627014","https://openalex.org/W2123852807"],"abstract_inverted_index":{"This":[0],"paper":[1],"investigates":[2],"the":[3,9,42,53,62,70,113],"effects":[4],"of":[5,11,64,100],"impulse":[6,49,66],"noise":[7,21,34,50,67,96,128],"on":[8],"performance":[10,57,99],"multidimensional":[12],"parity":[13],"check":[14],"codes":[15,89,93,102],"(MDPC)":[16],"in":[17,69,80,94],"additive":[18],"white":[19],"Gaussian":[20],"and":[22,35,120],"Rayleigh":[23],"fading":[24,81],"channels.":[25,82,97],"The":[26,98,123],"Bhattacharya":[27],"upper":[28],"bound":[29],"is":[30,36,46,74,103],"derived":[31],"for":[32,126],"impulsive":[33,95,127],"found":[37,75,104],"to":[38,76,105,109],"closely":[39],"match":[40],"with":[41],"simulation":[43],"results.":[44],"It":[45],"observed":[47],"that":[48,87],"can":[51],"degrade":[52],"bit":[54],"error":[55],"rate":[56,119],"by":[58],"several":[59],"dBs.":[60],"Further,":[61],"use":[63],"incorrect":[65],"model":[68],"receiver":[71],"decoding":[72],"algorithm":[73],"cause":[77],"severe":[78],"penalty":[79],"Our":[83],"results":[84],"also":[85,131],"show":[86],"MDPC":[88,101],"outperform":[90],"traditional":[91],"convolutional":[92],"be":[106],"slightly":[107,116],"inferior":[108],"turbo":[110],"codes,":[111],"when":[112],"latter":[114],"uses":[115],"lower":[117],"code":[118],"higher":[121],"complexity.":[122],"capacity":[124],"limits":[125],"channels":[129],"are":[130],"calculated":[132]},"counts_by_year":[{"year":2021,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}