{"id":"https://openalex.org/W4239281104","doi":"https://doi.org/10.1109/isit.2017.8006509","title":"Cyclone codes","display_name":"Cyclone codes","publication_year":2017,"publication_date":"2017-06-01","ids":{"openalex":"https://openalex.org/W4239281104","doi":"https://doi.org/10.1109/isit.2017.8006509"},"language":"en","primary_location":{"id":"doi:10.1109/isit.2017.8006509","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isit.2017.8006509","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Symposium on Information Theory (ISIT)","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/A5068757827","display_name":"Christian Schindelhauer","orcid":"https://orcid.org/0000-0002-8320-8581"},"institutions":[{"id":"https://openalex.org/I161046081","display_name":"University of Freiburg","ror":"https://ror.org/0245cg223","country_code":"DE","type":"education","lineage":["https://openalex.org/I161046081"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Christian Schindelhauer","raw_affiliation_strings":["University of Freiburg, Germany"],"affiliations":[{"raw_affiliation_string":"University of Freiburg, Germany","institution_ids":["https://openalex.org/I161046081"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053904278","display_name":"Andreas Jakoby","orcid":null},"institutions":[{"id":"https://openalex.org/I51441396","display_name":"Bauhaus-Universit\u00e4t Weimar","ror":"https://ror.org/033bb5z47","country_code":"DE","type":"education","lineage":["https://openalex.org/I51441396"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Andreas Jakoby","raw_affiliation_strings":["Bauhaus-Universit\u00e4t Weimar, Germany"],"affiliations":[{"raw_affiliation_string":"Bauhaus-Universit\u00e4t Weimar, Germany","institution_ids":["https://openalex.org/I51441396"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101634110","display_name":"Sven K\u00f6hler","orcid":"https://orcid.org/0000-0002-6068-135X"},"institutions":[{"id":"https://openalex.org/I161046081","display_name":"University of Freiburg","ror":"https://ror.org/0245cg223","country_code":"DE","type":"education","lineage":["https://openalex.org/I161046081"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Sven Kohler","raw_affiliation_strings":["University of Freiburg, Germany"],"affiliations":[{"raw_affiliation_string":"University of Freiburg, Germany","institution_ids":["https://openalex.org/I161046081"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5068757827"],"corresponding_institution_ids":["https://openalex.org/I161046081"],"apc_list":null,"apc_paid":null,"fwci":0.2072,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.62660837,"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":"156","last_page":"160"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11321","display_name":"Error Correcting Code Techniques","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T11321","display_name":"Error Correcting Code Techniques","score":0.9998999834060669,"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/T10796","display_name":"Cooperative Communication and Network Coding","score":0.9990000128746033,"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/T11130","display_name":"Coding theory and cryptography","score":0.9976000189781189,"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/tornado-code","display_name":"Tornado code","score":0.6095783710479736},{"id":"https://openalex.org/keywords/luby-transform-code","display_name":"Luby transform code","score":0.5526090264320374},{"id":"https://openalex.org/keywords/fountain-code","display_name":"Fountain code","score":0.5398440361022949},{"id":"https://openalex.org/keywords/online-codes","display_name":"Online codes","score":0.48905763030052185},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.4590230882167816},{"id":"https://openalex.org/keywords/linear-code","display_name":"Linear code","score":0.4331919252872467},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4301455020904541},{"id":"https://openalex.org/keywords/discrete-mathematics","display_name":"Discrete mathematics","score":0.4246298372745514},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4212246537208557},{"id":"https://openalex.org/keywords/raptor-code","display_name":"Raptor code","score":0.4112859070301056},{"id":"https://openalex.org/keywords/block-code","display_name":"Block code","score":0.4046744704246521},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.32768091559410095}],"concepts":[{"id":"https://openalex.org/C65058987","wikidata":"https://www.wikidata.org/wiki/Q7826005","display_name":"Tornado code","level":5,"score":0.6095783710479736},{"id":"https://openalex.org/C128151799","wikidata":"https://www.wikidata.org/wiki/Q13563306","display_name":"Luby transform code","level":5,"score":0.5526090264320374},{"id":"https://openalex.org/C76132124","wikidata":"https://www.wikidata.org/wiki/Q5474786","display_name":"Fountain code","level":5,"score":0.5398440361022949},{"id":"https://openalex.org/C103093684","wikidata":"https://www.wikidata.org/wiki/Q7094069","display_name":"Online codes","level":5,"score":0.48905763030052185},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.4590230882167816},{"id":"https://openalex.org/C2400350","wikidata":"https://www.wikidata.org/wiki/Q1752667","display_name":"Linear code","level":4,"score":0.4331919252872467},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4301455020904541},{"id":"https://openalex.org/C118615104","wikidata":"https://www.wikidata.org/wiki/Q121416","display_name":"Discrete mathematics","level":1,"score":0.4246298372745514},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4212246537208557},{"id":"https://openalex.org/C101252705","wikidata":"https://www.wikidata.org/wiki/Q7294373","display_name":"Raptor code","level":5,"score":0.4112859070301056},{"id":"https://openalex.org/C157125643","wikidata":"https://www.wikidata.org/wiki/Q884707","display_name":"Block code","level":3,"score":0.4046744704246521},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.32768091559410095}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isit.2017.8006509","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isit.2017.8006509","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Symposium on Information Theory (ISIT)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/13","score":0.4000000059604645,"display_name":"Climate action"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W2757614","https://openalex.org/W1484697260","https://openalex.org/W1559182355","https://openalex.org/W1972837770","https://openalex.org/W2088719955","https://openalex.org/W2104812861","https://openalex.org/W2115104320","https://openalex.org/W2118571817","https://openalex.org/W2129166980","https://openalex.org/W2148386700","https://openalex.org/W2148575324","https://openalex.org/W2153036649","https://openalex.org/W2157764600","https://openalex.org/W2161342511","https://openalex.org/W2296125569","https://openalex.org/W4229922087","https://openalex.org/W4237064274","https://openalex.org/W4241669766","https://openalex.org/W4312512934","https://openalex.org/W6679345397"],"related_works":["https://openalex.org/W2976106059","https://openalex.org/W2023731335","https://openalex.org/W2060232182","https://openalex.org/W2295671989","https://openalex.org/W2296600582","https://openalex.org/W2289440727","https://openalex.org/W2787656098","https://openalex.org/W4245031194","https://openalex.org/W2089476296","https://openalex.org/W2363930252"],"abstract_inverted_index":{"We":[0,77,112],"introduce":[1],"Cyclone":[2,115,138,164],"codes":[3,13,18,116,139,165],"which":[4,105],"are":[5,94],"rateless":[6],"erasure":[7],"resilient":[8],"codes.":[9,160],"They":[10],"combine":[11],"Pair":[12],"with":[14],"Luby":[15],"Transform":[16],"(LT)":[17],"by":[19,82,156],"computing":[20],"a":[21,25,57,65,101],"code":[22,83],"symbol":[23],"from":[24],"random":[26,92],"set":[27],"of":[28,40,67,120,158,170],"data":[29,41,62,87,98,118],"symbols":[30,42,63,84,119],"using":[31],"bitwise":[32],"XOR":[33,51],"and":[34,52,144],"cyclic":[35,53],"shift":[36,54],"operations.":[37],"The":[38],"number":[39,75],"is":[43,154],"chosen":[44],"according":[45],"to":[46,117],"the":[47,79,125,141,152,168],"Robust":[48],"Soliton":[49],"distribution.":[50],"operations":[55],"establish":[56],"unitary":[58],"commutative":[59],"ring":[60],"if":[61],"have":[64,140],"length":[66],"p":[68],"-":[69],"1":[70],"bits,":[71],"for":[72,96,131],"some":[73],"prime":[74],"p.":[76],"consider":[78],"graph":[80],"given":[81,95],"combining":[85],"two":[86],"symbols.":[88,173],"If":[89],"n/2":[90],"such":[91],"pairs":[93],"n":[97],"symbols,":[99],"then":[100],"giant":[102,133],"component":[103],"appears,":[104],"can":[106,113],"be":[107],"resolved":[108],"in":[109],"linear":[110],"time.":[111],"extend":[114],"arbitrary":[121],"even":[122],"length,":[123],"provided":[124],"Goldbach":[126],"conjecture":[127],"holds.":[128],"Applying":[129],"results":[130],"this":[132],"component,":[134],"it":[135],"follows":[136],"that":[137,163],"same":[142],"encoding":[143],"decoding":[145],"time":[146],"complexity":[147],"as":[148],"LT":[149,159],"codes,":[150],"while":[151],"overhead":[153,169],"upper-bounded":[155],"those":[157],"Simulations":[161],"indicate":[162],"significantly":[166],"decreases":[167],"extra":[171],"coding":[172]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2017,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2022-05-12T00:00:00"}