{"id":"https://openalex.org/W2162031607","doi":"https://doi.org/10.1109/tit.1971.1054712","title":"Rate 1/2 convolutional codes with complementary generators","display_name":"Rate 1/2 convolutional codes with complementary generators","publication_year":1971,"publication_date":"1971-11-01","ids":{"openalex":"https://openalex.org/W2162031607","doi":"https://doi.org/10.1109/tit.1971.1054712","mag":"2162031607"},"language":"en","primary_location":{"id":"doi:10.1109/tit.1971.1054712","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tit.1971.1054712","pdf_url":null,"source":{"id":"https://openalex.org/S4502562","display_name":"IEEE Transactions on Information Theory","issn_l":"0018-9448","issn":["0018-9448","1557-9654"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Information Theory","raw_type":"journal-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/A5112811561","display_name":"L.R. Bahl","orcid":null},"institutions":[{"id":"https://openalex.org/I4210114115","display_name":"IBM Research - Thomas J. Watson Research Center","ror":"https://ror.org/0265w5591","country_code":"US","type":"facility","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210114115"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"L. Bahl","raw_affiliation_strings":["IBM Thomas J. Watson Research Center, Yorktown Heights, NY, USA"],"affiliations":[{"raw_affiliation_string":"IBM Thomas J. Watson Research Center, Yorktown Heights, NY, USA","institution_ids":["https://openalex.org/I4210114115"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5109975749","display_name":"F. Jelinek","orcid":null},"institutions":[{"id":"https://openalex.org/I205783295","display_name":"Cornell University","ror":"https://ror.org/05bnh6r87","country_code":"US","type":"education","lineage":["https://openalex.org/I205783295"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"F. Jelinek","raw_affiliation_strings":["School of Electrical Engineering and Center for Radiophysics and Space Research, Cornell University, Ithaca, NY, USA"],"affiliations":[{"raw_affiliation_string":"School of Electrical Engineering and Center for Radiophysics and Space Research, Cornell University, Ithaca, NY, USA","institution_ids":["https://openalex.org/I205783295"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5112811561"],"corresponding_institution_ids":["https://openalex.org/I4210114115"],"apc_list":null,"apc_paid":null,"fwci":15.5018,"has_fulltext":false,"cited_by_count":48,"citation_normalized_percentile":{"value":0.98748111,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"17","issue":"6","first_page":"718","last_page":"727"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11130","display_name":"Coding theory and cryptography","score":0.9987999796867371,"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"}},"topics":[{"id":"https://openalex.org/T11130","display_name":"Coding theory and cryptography","score":0.9987999796867371,"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"}},{"id":"https://openalex.org/T11797","display_name":"graph theory and CDMA systems","score":0.9970999956130981,"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/T10125","display_name":"Advanced Wireless Communication Techniques","score":0.9765999913215637,"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/convolutional-code","display_name":"Convolutional code","score":0.6797193288803101},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.49768784642219543},{"id":"https://openalex.org/keywords/discrete-mathematics","display_name":"Discrete mathematics","score":0.49592360854148865},{"id":"https://openalex.org/keywords/turbo-code","display_name":"Turbo code","score":0.473088800907135},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.46723419427871704},{"id":"https://openalex.org/keywords/minimum-distance","display_name":"Minimum distance","score":0.4533722400665283},{"id":"https://openalex.org/keywords/constraint","display_name":"Constraint (computer-aided design)","score":0.44087567925453186},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4407346248626709},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.42240598797798157},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.41473519802093506},{"id":"https://openalex.org/keywords/block-code","display_name":"Block code","score":0.4145847260951996},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.2613309621810913},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.1037595272064209}],"concepts":[{"id":"https://openalex.org/C157899210","wikidata":"https://www.wikidata.org/wiki/Q1395022","display_name":"Convolutional code","level":3,"score":0.6797193288803101},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.49768784642219543},{"id":"https://openalex.org/C118615104","wikidata":"https://www.wikidata.org/wiki/Q121416","display_name":"Discrete mathematics","level":1,"score":0.49592360854148865},{"id":"https://openalex.org/C114504821","wikidata":"https://www.wikidata.org/wiki/Q2164281","display_name":"Turbo code","level":3,"score":0.473088800907135},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.46723419427871704},{"id":"https://openalex.org/C3018063660","wikidata":"https://www.wikidata.org/wiki/Q6865448","display_name":"Minimum distance","level":2,"score":0.4533722400665283},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.44087567925453186},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4407346248626709},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.42240598797798157},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.41473519802093506},{"id":"https://openalex.org/C157125643","wikidata":"https://www.wikidata.org/wiki/Q884707","display_name":"Block code","level":3,"score":0.4145847260951996},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.2613309621810913},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.1037595272064209},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tit.1971.1054712","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tit.1971.1054712","pdf_url":null,"source":{"id":"https://openalex.org/S4502562","display_name":"IEEE Transactions on Information Theory","issn_l":"0018-9448","issn":["0018-9448","1557-9654"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Information Theory","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W816488558","https://openalex.org/W1522612088","https://openalex.org/W1577906631","https://openalex.org/W1991133427","https://openalex.org/W1997329149","https://openalex.org/W2001705110","https://openalex.org/W2073751194","https://openalex.org/W2079363366","https://openalex.org/W2109472856","https://openalex.org/W2119478857","https://openalex.org/W2138779125","https://openalex.org/W2140393911","https://openalex.org/W2167706602","https://openalex.org/W2171528946","https://openalex.org/W2257405688"],"related_works":["https://openalex.org/W2159911483","https://openalex.org/W2358415454","https://openalex.org/W2158222171","https://openalex.org/W2088295822","https://openalex.org/W2148668421","https://openalex.org/W2970575518","https://openalex.org/W2092269370","https://openalex.org/W2108627014","https://openalex.org/W2029061748","https://openalex.org/W2123852807"],"abstract_inverted_index":{"The":[0,64],"structure":[1],"of":[2,5,27,60,69,85],"a":[3,24,48],"class":[4,41],"rate":[6],"<tex":[7],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[8],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">\\frac{1}{2}</tex>":[9],"convolutional":[10],"codes":[11,14,34,55,73],"called":[12],"complementary":[13,72],"is":[15],"investigated.":[16],"Of":[17],"special":[18],"interest":[19],"are":[20,42,62,74],"properties":[21],"that":[22,51],"permit":[23],"simplified":[25],"evaluation":[26],"free":[28,37,65],"distance.":[29],"Methods":[30],"for":[31],"finding":[32],"the":[33,70,77,83],"with":[35,76,82],"largest":[36],"distance":[38],"in":[39,53],"this":[40],"obtained.":[43],"A":[44],"synthesis":[45],"procedure":[46,50],"and":[47,66,81],"search":[49],"result":[52],"good":[54],"up":[56],"to":[57],"constraint":[58],"lengths":[59],"24":[61],"described.":[63],"minimum":[67],"distances":[68,84],"best":[71,78],"compared":[75],"known":[79,87],"bounds":[80],"other":[86],"codes.":[88]},"counts_by_year":[{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
