{"id":"https://openalex.org/W1978716441","doi":"https://doi.org/10.4304/jnw.8.6.1440-1447","title":"Power- and Bandwidth-Efficient Euclidean Code with Sparse Generator Matrix","display_name":"Power- and Bandwidth-Efficient Euclidean Code with Sparse Generator Matrix","publication_year":2013,"publication_date":"2013-06-15","ids":{"openalex":"https://openalex.org/W1978716441","doi":"https://doi.org/10.4304/jnw.8.6.1440-1447","mag":"1978716441"},"language":"en","primary_location":{"id":"doi:10.4304/jnw.8.6.1440-1447","is_oa":false,"landing_page_url":"https://doi.org/10.4304/jnw.8.6.1440-1447","pdf_url":null,"source":{"id":"https://openalex.org/S189188848","display_name":"Journal of Networks","issn_l":"1796-2056","issn":["1796-2056"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318660","host_organization_name":"Academy Publisher","host_organization_lineage":["https://openalex.org/P4310318660"],"host_organization_lineage_names":["Academy Publisher"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Networks","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/A5115602293","display_name":"Yang Li","orcid":"https://orcid.org/0000-0003-4616-4230"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yang Li","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102278824","display_name":"Xichuan Lin","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xichuan Lin","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077575823","display_name":"Zhisong Bie","orcid":"https://orcid.org/0000-0002-1116-1489"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhisong Bie","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5063071620","display_name":"Kim Hyok Hui","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kim Hyok Hui","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.09579985,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"8","issue":"6","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11321","display_name":"Error Correcting Code Techniques","score":1.0,"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":1.0,"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/T10125","display_name":"Advanced Wireless Communication Techniques","score":0.9994000196456909,"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/T10796","display_name":"Cooperative Communication and Network Coding","score":0.9955000281333923,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.880344033241272},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.5612748861312866},{"id":"https://openalex.org/keywords/generator","display_name":"Generator (circuit theory)","score":0.5451475977897644},{"id":"https://openalex.org/keywords/euclidean-distance","display_name":"Euclidean distance","score":0.5371341109275818},{"id":"https://openalex.org/keywords/generator-matrix","display_name":"Generator matrix","score":0.4884034991264343},{"id":"https://openalex.org/keywords/bandwidth","display_name":"Bandwidth (computing)","score":0.4727880656719208},{"id":"https://openalex.org/keywords/euclidean-geometry","display_name":"Euclidean geometry","score":0.4638403058052063},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.4465373754501343},{"id":"https://openalex.org/keywords/matrix","display_name":"Matrix (chemical analysis)","score":0.42928755283355713},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.37675705552101135},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.19928503036499023},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.19514012336730957},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.12245875597000122},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09181255102157593},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.08020976185798645}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.880344033241272},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.5612748861312866},{"id":"https://openalex.org/C2780992000","wikidata":"https://www.wikidata.org/wiki/Q17016113","display_name":"Generator (circuit theory)","level":3,"score":0.5451475977897644},{"id":"https://openalex.org/C120174047","wikidata":"https://www.wikidata.org/wiki/Q847073","display_name":"Euclidean distance","level":2,"score":0.5371341109275818},{"id":"https://openalex.org/C1842014","wikidata":"https://www.wikidata.org/wiki/Q1502046","display_name":"Generator matrix","level":3,"score":0.4884034991264343},{"id":"https://openalex.org/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.4727880656719208},{"id":"https://openalex.org/C129782007","wikidata":"https://www.wikidata.org/wiki/Q162886","display_name":"Euclidean geometry","level":2,"score":0.4638403058052063},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.4465373754501343},{"id":"https://openalex.org/C106487976","wikidata":"https://www.wikidata.org/wiki/Q685816","display_name":"Matrix (chemical analysis)","level":2,"score":0.42928755283355713},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.37675705552101135},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.19928503036499023},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.19514012336730957},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.12245875597000122},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09181255102157593},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.08020976185798645},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.4304/jnw.8.6.1440-1447","is_oa":false,"landing_page_url":"https://doi.org/10.4304/jnw.8.6.1440-1447","pdf_url":null,"source":{"id":"https://openalex.org/S189188848","display_name":"Journal of Networks","issn_l":"1796-2056","issn":["1796-2056"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318660","host_organization_name":"Academy Publisher","host_organization_lineage":["https://openalex.org/P4310318660"],"host_organization_lineage_names":["Academy Publisher"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Networks","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W1512015702","https://openalex.org/W1643808535","https://openalex.org/W1879678483","https://openalex.org/W1995990042","https://openalex.org/W2036845965","https://openalex.org/W2084639925","https://openalex.org/W2103604544","https://openalex.org/W2125566184","https://openalex.org/W2125609692","https://openalex.org/W2129498976","https://openalex.org/W2129983244","https://openalex.org/W2137813581","https://openalex.org/W2138577627","https://openalex.org/W2145487138","https://openalex.org/W2147017752","https://openalex.org/W2160130902","https://openalex.org/W2160973043","https://openalex.org/W2164991395","https://openalex.org/W2167394661","https://openalex.org/W2167947196","https://openalex.org/W2168838124","https://openalex.org/W2168945554","https://openalex.org/W2172679141","https://openalex.org/W3105479005","https://openalex.org/W3125530803","https://openalex.org/W3196904279","https://openalex.org/W4212926765","https://openalex.org/W4236965008","https://openalex.org/W4293259454","https://openalex.org/W6637062762","https://openalex.org/W6679178507","https://openalex.org/W6681513275","https://openalex.org/W6682657107"],"related_works":["https://openalex.org/W2090152127","https://openalex.org/W3198007960","https://openalex.org/W2008939113","https://openalex.org/W1965169884","https://openalex.org/W4322759337","https://openalex.org/W3125580510","https://openalex.org/W2033213447","https://openalex.org/W14679004","https://openalex.org/W1566651525","https://openalex.org/W2977652649"],"abstract_inverted_index":{"In":[0],"this":[1,30],"paper":[2],"we":[3],"propose":[4],"a":[5,13,143],"coded":[6],"modulation":[7],"scheme":[8],"which":[9],"is":[10,57,77,97,118],"defined":[11],"by":[12],"sparse":[14],"real-valued":[15],"generator":[16,123],"matrix.":[17,124],"As":[18],"forward":[19],"error":[20],"correction":[21],"(FEC)":[22],"codes":[23,34,42,150],"directly":[24],"constructed":[25],"in":[26],"the":[27,46,61,81,84,122,129],"Euclidean":[28,33],"space,":[29],"kind":[31],"of":[32,63,83,107],"(EC)":[35],"named":[36],"G-LDGM":[37,133],"(Generalized":[38],"Low-Density":[39],"Generator":[40],"Matrix)":[41],"can":[43,109],"naturally":[44],"match":[45],"continuous":[47],"communication":[48],"channels.":[49],"A":[50,69,94,112],"shaping":[51],"method":[52,117],"based":[53],"on":[54],"hypercube":[55],"lattice":[56],"introduced":[58,138],"to":[59,99,120],"prevent":[60],"power":[62],"signals":[64],"from":[65],"being":[66],"too":[67],"large.":[68],"linear-time":[70,153],"parametric":[71],"belief":[72],"propagation":[73],"(BP)":[74],"decoding":[75,85,108],"algorithm":[76],"formulated.":[78],"To":[79],"reduce":[80],"complexity":[82],"algorithm,":[86],"passing":[87],"messages":[88],"are":[89],"approximated":[90],"as":[91],"Gaussian":[92],"distributions.":[93],"simplified":[95],"analysis":[96],"given":[98],"show":[100],"that":[101,128],"under":[102],"certain":[103],"condition":[104],"exponential":[105],"convergence":[106],"be":[110],"realized.":[111],"Monte":[113],"Carlo":[114],"density":[115],"evolution":[116],"provided":[119],"optimize":[121],"Simulation":[125],"results":[126],"suggest":[127],"proposed":[130],"10,000":[131],"dimension":[132],"code":[134],"with":[135,151],"no":[136],"redundancy":[137],"into":[139],"information":[140],"data":[141],"has":[142],"superior":[144],"performance":[145],"over":[146],"non-binary":[147],"LDPC":[148],"(NB-LDPC)":[149],"both":[152],"encoding":[154],"and":[155],"decoding.":[156]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}