{"id":"https://openalex.org/W2785449521","doi":"https://doi.org/10.1109/itw.2017.8278031","title":"Weakly constrained codes via row-by-row coding","display_name":"Weakly constrained codes via row-by-row coding","publication_year":2017,"publication_date":"2017-11-01","ids":{"openalex":"https://openalex.org/W2785449521","doi":"https://doi.org/10.1109/itw.2017.8278031","mag":"2785449521"},"language":"en","primary_location":{"id":"doi:10.1109/itw.2017.8278031","is_oa":false,"landing_page_url":"https://doi.org/10.1109/itw.2017.8278031","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE Information Theory Workshop (ITW)","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/A5020286325","display_name":"Sarit Buzaglo","orcid":"https://orcid.org/0000-0001-6395-3640"},"institutions":[{"id":"https://openalex.org/I36258959","display_name":"University of California, San Diego","ror":"https://ror.org/0168r3w48","country_code":"US","type":"education","lineage":["https://openalex.org/I36258959"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Sarit Buzaglo","raw_affiliation_strings":["University of California San Diego, La Jolla, CA, USA"],"affiliations":[{"raw_affiliation_string":"University of California San Diego, La Jolla, CA, USA","institution_ids":["https://openalex.org/I36258959"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5060049531","display_name":"Paul H. Siegel","orcid":"https://orcid.org/0000-0001-5850-0874"},"institutions":[{"id":"https://openalex.org/I36258959","display_name":"University of California, San Diego","ror":"https://ror.org/0168r3w48","country_code":"US","type":"education","lineage":["https://openalex.org/I36258959"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Paul H. Siegel","raw_affiliation_strings":["University of California San Diego, La Jolla, CA, USA"],"affiliations":[{"raw_affiliation_string":"University of California San Diego, La Jolla, CA, USA","institution_ids":["https://openalex.org/I36258959"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5020286325"],"corresponding_institution_ids":["https://openalex.org/I36258959"],"apc_list":null,"apc_paid":null,"fwci":0.2271,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.5932822,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12162","display_name":"Cellular Automata and Applications","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/T12162","display_name":"Cellular Automata and Applications","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/T11269","display_name":"Algorithms and Data Compression","score":0.9980000257492065,"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/T12029","display_name":"DNA and Biological Computing","score":0.9973999857902527,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/row","display_name":"Row","score":0.6666849851608276},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.6509963274002075},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5815312266349792},{"id":"https://openalex.org/keywords/block-code","display_name":"Block code","score":0.5425499081611633},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.48638013005256653},{"id":"https://openalex.org/keywords/construct","display_name":"Construct (python library)","score":0.4723706841468811},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.4555974006652832},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.45113617181777954},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4422565698623657},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3592993915081024},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.19073522090911865},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.06539195775985718}],"concepts":[{"id":"https://openalex.org/C135598885","wikidata":"https://www.wikidata.org/wiki/Q1366302","display_name":"Row","level":2,"score":0.6666849851608276},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.6509963274002075},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5815312266349792},{"id":"https://openalex.org/C157125643","wikidata":"https://www.wikidata.org/wiki/Q884707","display_name":"Block code","level":3,"score":0.5425499081611633},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.48638013005256653},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.4723706841468811},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.4555974006652832},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.45113617181777954},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4422565698623657},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3592993915081024},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.19073522090911865},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.06539195775985718},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/itw.2017.8278031","is_oa":false,"landing_page_url":"https://doi.org/10.1109/itw.2017.8278031","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE Information Theory Workshop (ITW)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.41999998688697815,"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":14,"referenced_works":["https://openalex.org/W1974382727","https://openalex.org/W2043854093","https://openalex.org/W2057364883","https://openalex.org/W2087210801","https://openalex.org/W2127901119","https://openalex.org/W2131147205","https://openalex.org/W2136890907","https://openalex.org/W2151286572","https://openalex.org/W2173159535","https://openalex.org/W2585609531","https://openalex.org/W2592570088","https://openalex.org/W2608146267","https://openalex.org/W3034779354","https://openalex.org/W6736540583"],"related_works":["https://openalex.org/W2366107444","https://openalex.org/W4388145910","https://openalex.org/W1976205134","https://openalex.org/W2381570729","https://openalex.org/W4248336175","https://openalex.org/W4281971614","https://openalex.org/W3009369890","https://openalex.org/W2031260042","https://openalex.org/W2391445434","https://openalex.org/W4312490297"],"abstract_inverted_index":{"A":[0],"constrained":[1,52,61],"code":[2],"is":[3,65,94],"a":[4,68,81],"set":[5],"of":[6,14,29,31,80,88,90],"finite-length":[7],"codewords":[8,35],"that":[9,44],"entirely":[10],"avoid":[11],"the":[12,27,78,86],"occurrences":[13,30],"certain":[15,32],"patterns.":[16],"In":[17,54],"some":[18],"applications,":[19],"it":[20],"may":[21],"be":[22],"preferable":[23],"to":[24,38],"merely":[25],"limit":[26],"number":[28],"patterns":[33,91],"in":[34,72,84],"rather":[36],"than":[37],"completely":[39],"forbid":[40],"them.":[41],"Constrained":[42],"codes":[43],"involve":[45],"such":[46],"weaker":[47],"constraints":[48],"are":[49,75],"called":[50],"weakly":[51,60],"codes.":[53,62],"this":[55],"paper":[56],"we":[57],"construct":[58],"capacity-achieving":[59],"The":[63],"construction":[64],"based":[66],"on":[67],"row-by-row":[69],"coding":[70],"scheme":[71],"which":[73,85],"messages":[74],"encoded":[76],"into":[77],"rows":[79],"2-dimensional":[82],"array":[83],"frequency":[87],"occurrence":[89],"along":[92],"columns":[93],"controlled.":[95]},"counts_by_year":[{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}