{"id":"https://openalex.org/W4390873740","doi":"https://doi.org/10.1109/tcomm.2024.3354205","title":"Generalized Sparse Regression Codes for Short Block Lengths","display_name":"Generalized Sparse Regression Codes for Short Block Lengths","publication_year":2024,"publication_date":"2024-01-15","ids":{"openalex":"https://openalex.org/W4390873740","doi":"https://doi.org/10.1109/tcomm.2024.3354205"},"language":"en","primary_location":{"id":"doi:10.1109/tcomm.2024.3354205","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcomm.2024.3354205","pdf_url":null,"source":{"id":"https://openalex.org/S196647941","display_name":"IEEE Transactions on Communications","issn_l":"0090-6778","issn":["0090-6778","1558-0857"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310316002","host_organization_name":"IEEE Communications Society","host_organization_lineage":["https://openalex.org/P4310316002","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Communications Society","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 Communications","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/A5080936323","display_name":"Madhusudan Kumar Sinha","orcid":"https://orcid.org/0000-0001-8729-6470"},"institutions":[{"id":"https://openalex.org/I24676775","display_name":"Indian Institute of Technology Madras","ror":"https://ror.org/03v0r5n49","country_code":"IN","type":"facility","lineage":["https://openalex.org/I24676775"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Madhusudan Kumar Sinha","raw_affiliation_strings":["Department of Electrical Engineering, Indian Institute of Technology Madras, Chennai, India"],"raw_orcid":"https://orcid.org/0000-0001-8729-6470","affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Indian Institute of Technology Madras, Chennai, India","institution_ids":["https://openalex.org/I24676775"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5010562794","display_name":"Arun Pachai Kannu","orcid":"https://orcid.org/0000-0003-0042-2425"},"institutions":[{"id":"https://openalex.org/I24676775","display_name":"Indian Institute of Technology Madras","ror":"https://ror.org/03v0r5n49","country_code":"IN","type":"facility","lineage":["https://openalex.org/I24676775"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Arun Pachai Kannu","raw_affiliation_strings":["Department of Electrical Engineering, Indian Institute of Technology Madras, Chennai, India"],"raw_orcid":"https://orcid.org/0000-0003-0042-2425","affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Indian Institute of Technology Madras, Chennai, India","institution_ids":["https://openalex.org/I24676775"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5080936323"],"corresponding_institution_ids":["https://openalex.org/I24676775"],"apc_list":null,"apc_paid":null,"fwci":3.2245,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.91378485,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"72","issue":"5","first_page":"2536","last_page":"2551"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/T11447","display_name":"Blind Source Separation Techniques","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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"}}],"keywords":[{"id":"https://openalex.org/keywords/block-error-rate","display_name":"Block Error Rate","score":0.939852237701416},{"id":"https://openalex.org/keywords/additive-white-gaussian-noise","display_name":"Additive white Gaussian noise","score":0.6573066711425781},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.6413023471832275},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.6395779848098755},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.6184978485107422},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6056544184684753},{"id":"https://openalex.org/keywords/turbo-code","display_name":"Turbo code","score":0.5709325075149536},{"id":"https://openalex.org/keywords/greedy-algorithm","display_name":"Greedy algorithm","score":0.5517773032188416},{"id":"https://openalex.org/keywords/bit-error-rate","display_name":"Bit error rate","score":0.456163227558136},{"id":"https://openalex.org/keywords/error-detection-and-correction","display_name":"Error detection and correction","score":0.4497133493423462},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.41829565167427063},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.3940390646457672},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.23922941088676453},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.14948588609695435},{"id":"https://openalex.org/keywords/telecommunications-link","display_name":"Telecommunications link","score":0.13553404808044434}],"concepts":[{"id":"https://openalex.org/C2776639698","wikidata":"https://www.wikidata.org/wiki/Q4927140","display_name":"Block Error Rate","level":3,"score":0.939852237701416},{"id":"https://openalex.org/C169334058","wikidata":"https://www.wikidata.org/wiki/Q353292","display_name":"Additive white Gaussian noise","level":3,"score":0.6573066711425781},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.6413023471832275},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.6395779848098755},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.6184978485107422},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6056544184684753},{"id":"https://openalex.org/C114504821","wikidata":"https://www.wikidata.org/wiki/Q2164281","display_name":"Turbo code","level":3,"score":0.5709325075149536},{"id":"https://openalex.org/C51823790","wikidata":"https://www.wikidata.org/wiki/Q504353","display_name":"Greedy algorithm","level":2,"score":0.5517773032188416},{"id":"https://openalex.org/C56296756","wikidata":"https://www.wikidata.org/wiki/Q840922","display_name":"Bit error rate","level":3,"score":0.456163227558136},{"id":"https://openalex.org/C103088060","wikidata":"https://www.wikidata.org/wiki/Q1062839","display_name":"Error detection and correction","level":2,"score":0.4497133493423462},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.41829565167427063},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.3940390646457672},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.23922941088676453},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.14948588609695435},{"id":"https://openalex.org/C138660444","wikidata":"https://www.wikidata.org/wiki/Q5607897","display_name":"Telecommunications link","level":2,"score":0.13553404808044434},{"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/tcomm.2024.3354205","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcomm.2024.3354205","pdf_url":null,"source":{"id":"https://openalex.org/S196647941","display_name":"IEEE Transactions on Communications","issn_l":"0090-6778","issn":["0090-6778","1558-0857"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310316002","host_organization_name":"IEEE Communications Society","host_organization_lineage":["https://openalex.org/P4310316002","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Communications Society","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 Communications","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":50,"referenced_works":["https://openalex.org/W389131132","https://openalex.org/W1837352444","https://openalex.org/W1909826856","https://openalex.org/W1984386576","https://openalex.org/W1995875735","https://openalex.org/W2039957496","https://openalex.org/W2044180609","https://openalex.org/W2046938896","https://openalex.org/W2049341347","https://openalex.org/W2078204800","https://openalex.org/W2094366212","https://openalex.org/W2099111195","https://openalex.org/W2100556411","https://openalex.org/W2116148865","https://openalex.org/W2129857026","https://openalex.org/W2138548210","https://openalex.org/W2138706041","https://openalex.org/W2140856955","https://openalex.org/W2151693816","https://openalex.org/W2159317264","https://openalex.org/W2166347904","https://openalex.org/W2175784154","https://openalex.org/W2583184538","https://openalex.org/W2747773209","https://openalex.org/W2807964302","https://openalex.org/W2904079084","https://openalex.org/W2904380145","https://openalex.org/W2945463326","https://openalex.org/W2963322354","https://openalex.org/W2963717880","https://openalex.org/W2963829778","https://openalex.org/W2969835263","https://openalex.org/W3018202567","https://openalex.org/W3046595859","https://openalex.org/W3099126622","https://openalex.org/W3102437242","https://openalex.org/W3113691069","https://openalex.org/W3124268854","https://openalex.org/W3162372285","https://openalex.org/W3172643713","https://openalex.org/W3176790533","https://openalex.org/W4210277343","https://openalex.org/W4210495296","https://openalex.org/W4248709896","https://openalex.org/W4290935145","https://openalex.org/W4296126917","https://openalex.org/W4296438066","https://openalex.org/W4300263211","https://openalex.org/W4300840296","https://openalex.org/W4394657326"],"related_works":["https://openalex.org/W3183948672","https://openalex.org/W3173606202","https://openalex.org/W3110381201","https://openalex.org/W2948807893","https://openalex.org/W2778153218","https://openalex.org/W2758277628","https://openalex.org/W1531601525","https://openalex.org/W1216053005","https://openalex.org/W2128677008","https://openalex.org/W2054801207"],"abstract_inverted_index":{"Sparse":[0],"Regression":[1],"Code":[2],"(SPARC)":[3],"connects":[4],"the":[5,11,23,35,100,121,128,137,149,177,189],"sparse":[6],"signal":[7],"recovery":[8,82],"framework":[9],"with":[10,104,156,173,188],"error":[12,25,123],"control":[13],"coding":[14],"techniques.":[15],"In":[16,169],"this":[17],"paper,":[18],"we":[19,40],"focus":[20],"on":[21],"improving":[22],"block":[24,31,122,139],"performance":[26,126,163],"of":[27,64,102,127,182],"SPARC":[28,65],"in":[29,47,133,136],"short":[30,138],"length":[32,140],"regime":[33],"over":[34],"AWGN":[36,134],"channel.":[37],"Towards":[38],"that,":[39],"introduce":[41],"suitable":[42],"candidates":[43],"for":[44,107,131,153],"dictionary":[45],"matrices":[46],"real":[48],"and":[49,55,73,77,160],"complex":[50],"fields":[51],"using":[52],"Gold":[53],"sequences":[54],"mutually":[56],"unbiased":[57],"bases":[58],"(MUB).":[59],"We":[60,84,98,116],"propose":[61,85],"two":[62],"generalizations":[63],"(GSPARC),":[66],"develop":[67],"a":[68,86,111],"greedy":[69,88],"decoder":[70,106,144,152,175],"called":[71,91],"Match":[72],"Decode":[74],"(MAD)":[75],"algorithm,":[76],"provide":[78],"its":[79],"analytical":[80],"noiseless":[81],"guarantees.":[83],"parallel":[87,92],"search":[89],"technique":[90],"MAD":[93],"(PMAD)":[94],"to":[95,165],"improve":[96],"performance.":[97],"describe":[99],"applicability":[101],"GSPARC":[103,132,155,172],"PMAD":[105,143,157,174],"multi-user":[108,170],"channels,":[109,171],"providing":[110],"non-orthogonal":[112],"multiple":[113,185],"access":[114,186],"scheme.":[115],"present":[117],"numerical":[118],"results":[119],"comparing":[120],"rate":[124],"(BLER)":[125],"proposed":[129],"algorithms":[130],"channels":[135],"regime.":[141],"The":[142],"gives":[145,158],"better":[146],"BLER":[147,162],"than":[148],"approximate":[150],"message-passing":[151],"SPARC.":[154],"comparable":[159],"competitive":[161],"compared":[164],"other":[166],"existing":[167],"codes.":[168],"outperforms":[176],"sphere":[178],"packing":[179],"lower":[180],"bounds":[181],"an":[183],"orthogonal":[184],"scheme":[187],"same":[190],"spectral":[191],"efficiency.":[192]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
