{"id":"https://openalex.org/W4404294285","doi":"https://doi.org/10.1109/tit.2024.3496486","title":"Sparse Regression LDPC Codes","display_name":"Sparse Regression LDPC Codes","publication_year":2024,"publication_date":"2024-11-12","ids":{"openalex":"https://openalex.org/W4404294285","doi":"https://doi.org/10.1109/tit.2024.3496486"},"language":"en","primary_location":{"id":"doi:10.1109/tit.2024.3496486","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tit.2024.3496486","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/A5041640279","display_name":"Jamison R. Ebert","orcid":"https://orcid.org/0000-0002-2898-7404"},"institutions":[{"id":"https://openalex.org/I4210087596","display_name":"Qualcomm (United States)","ror":"https://ror.org/002zrf773","country_code":"US","type":"company","lineage":["https://openalex.org/I4210087596"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jamison R. Ebert","raw_affiliation_strings":["Qualcomm Technologies Inc., San Diego, CA, USA","Qualcomm Technologies Inc, San Diego, CA, USA"],"raw_orcid":"https://orcid.org/0000-0002-2898-7404","affiliations":[{"raw_affiliation_string":"Qualcomm Technologies Inc., San Diego, CA, USA","institution_ids":["https://openalex.org/I4210087596"]},{"raw_affiliation_string":"Qualcomm Technologies Inc, San Diego, CA, USA","institution_ids":["https://openalex.org/I4210087596"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069801730","display_name":"Jean\u2010Fran\u00e7ois Chamberland","orcid":"https://orcid.org/0000-0002-2983-9884"},"institutions":[{"id":"https://openalex.org/I91045830","display_name":"Texas A&M University","ror":"https://ror.org/01f5ytq51","country_code":"US","type":"education","lineage":["https://openalex.org/I91045830"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jean-Francois Chamberland","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Texas A&#x0026;M University, College Station, TX, USA"],"raw_orcid":"https://orcid.org/0000-0002-2983-9884","affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Texas A&#x0026;M University, College Station, TX, USA","institution_ids":["https://openalex.org/I91045830"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5010169197","display_name":"Krishna R. Narayanan","orcid":"https://orcid.org/0000-0001-8742-5332"},"institutions":[{"id":"https://openalex.org/I91045830","display_name":"Texas A&M University","ror":"https://ror.org/01f5ytq51","country_code":"US","type":"education","lineage":["https://openalex.org/I91045830"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Krishna R. Narayanan","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Texas A&#x0026;M University, College Station, TX, USA"],"raw_orcid":"https://orcid.org/0000-0001-8742-5332","affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Texas A&#x0026;M University, College Station, TX, USA","institution_ids":["https://openalex.org/I91045830"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.849,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.8688924,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"71","issue":"1","first_page":"167","last_page":"191"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11321","display_name":"Error Correcting Code Techniques","score":0.9987000226974487,"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":0.9987000226974487,"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":0.992900013923645,"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/T10901","display_name":"Advanced Data Compression Techniques","score":0.9571999907493591,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/low-density-parity-check-code","display_name":"Low-density parity-check code","score":0.663074791431427},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5765442848205566},{"id":"https://openalex.org/keywords/turbo-code","display_name":"Turbo code","score":0.49009621143341064},{"id":"https://openalex.org/keywords/concatenated-error-correction-code","display_name":"Concatenated error correction code","score":0.4700680375099182},{"id":"https://openalex.org/keywords/serial-concatenated-convolutional-codes","display_name":"Serial concatenated convolutional codes","score":0.46210750937461853},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4039667844772339},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.34044963121414185},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.3333050608634949},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.322738379240036},{"id":"https://openalex.org/keywords/block-code","display_name":"Block code","score":0.300508588552475}],"concepts":[{"id":"https://openalex.org/C67692717","wikidata":"https://www.wikidata.org/wiki/Q187444","display_name":"Low-density parity-check code","level":3,"score":0.663074791431427},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5765442848205566},{"id":"https://openalex.org/C114504821","wikidata":"https://www.wikidata.org/wiki/Q2164281","display_name":"Turbo code","level":3,"score":0.49009621143341064},{"id":"https://openalex.org/C78944582","wikidata":"https://www.wikidata.org/wiki/Q5158264","display_name":"Concatenated error correction code","level":4,"score":0.4700680375099182},{"id":"https://openalex.org/C33529081","wikidata":"https://www.wikidata.org/wiki/Q18378194","display_name":"Serial concatenated convolutional codes","level":5,"score":0.46210750937461853},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4039667844772339},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.34044963121414185},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.3333050608634949},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.322738379240036},{"id":"https://openalex.org/C157125643","wikidata":"https://www.wikidata.org/wiki/Q884707","display_name":"Block code","level":3,"score":0.300508588552475}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tit.2024.3496486","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tit.2024.3496486","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":[{"id":"https://openalex.org/G4883583213","display_name":null,"funder_award_id":"CCF-2131106","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G6168070925","display_name":null,"funder_award_id":"CNS-2148354","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320308258","display_name":"Qualcomm","ror":"https://ror.org/002zrf773"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":49,"referenced_works":["https://openalex.org/W1536930200","https://openalex.org/W1837352444","https://openalex.org/W1909826856","https://openalex.org/W1965559626","https://openalex.org/W1982872379","https://openalex.org/W1991528082","https://openalex.org/W2017687288","https://openalex.org/W2039957496","https://openalex.org/W2082029531","https://openalex.org/W2088934832","https://openalex.org/W2103604544","https://openalex.org/W2107288243","https://openalex.org/W2109489513","https://openalex.org/W2109866575","https://openalex.org/W2115104320","https://openalex.org/W2119001152","https://openalex.org/W2123119950","https://openalex.org/W2125566184","https://openalex.org/W2125687032","https://openalex.org/W2127490352","https://openalex.org/W2128765501","https://openalex.org/W2133068391","https://openalex.org/W2135764410","https://openalex.org/W2137699000","https://openalex.org/W2137813581","https://openalex.org/W2142511915","https://openalex.org/W2150859678","https://openalex.org/W2154887764","https://openalex.org/W2156973751","https://openalex.org/W2157702143","https://openalex.org/W2166347904","https://openalex.org/W2166978909","https://openalex.org/W2169732368","https://openalex.org/W2179644698","https://openalex.org/W2312446270","https://openalex.org/W2610971674","https://openalex.org/W2616796307","https://openalex.org/W2747773209","https://openalex.org/W2951974280","https://openalex.org/W2963064298","https://openalex.org/W3007447106","https://openalex.org/W3088825007","https://openalex.org/W3092103098","https://openalex.org/W3162372285","https://openalex.org/W3172643713","https://openalex.org/W3174653886","https://openalex.org/W3202336948","https://openalex.org/W4226107887","https://openalex.org/W4386075075"],"related_works":["https://openalex.org/W2139745099","https://openalex.org/W2015101254","https://openalex.org/W2132566027","https://openalex.org/W1782566311","https://openalex.org/W1968988046","https://openalex.org/W2127950068","https://openalex.org/W2126543779","https://openalex.org/W2169710030","https://openalex.org/W2209506458","https://openalex.org/W2140479584"],"abstract_inverted_index":{"This":[0,65],"article":[1,127],"introduces":[2],"a":[3,73],"novel":[4],"concatenated":[5],"coding":[6],"scheme":[7],"called":[8],"sparse":[9,27],"regression":[10,28],"LDPC":[11,22,87],"(SR-LDPC)":[12],"codes.":[13],"An":[14],"SR-LDPC":[15,124,160,174],"code":[16,23,29,88,153],"consists":[17],"of":[18,68,84,104,123,171],"an":[19,25,43,129],"outer":[20,63,86],"non-binary":[21],"and":[24,35,62,108],"inner":[26,61],"(SPARC),":[30],"whose":[31],"respective":[32],"field":[33],"size":[34],"section":[36],"sizes":[37],"are":[38,176],"equal.":[39],"For":[40],"such":[41],"codes,":[42,125],"efficient":[44,130,141],"decoding":[45],"algorithm":[46],"is":[47,70,94],"proposed":[48,116],"based":[49],"on":[50,80,151],"approximate":[51,132],"message":[52],"passing":[53],"(AMP)":[54],"that":[55,75,96,110,136,159],"dynamically":[56],"shares":[57],"soft":[58],"information":[59,69],"between":[60],"decoders.":[64],"dynamic":[66],"exchange":[67],"facilitated":[71],"by":[72],"denoiser":[74,99],"runs":[76],"belief":[77],"propagation":[78],"(BP)":[79],"the":[81,85,102,115,120,146,166,187],"factor":[82],"graph":[83],"within":[89,101],"each":[90],"AMP":[91],"iteration.":[92],"It":[93],"shown":[95,177],"this":[97,126],"BP":[98],"falls":[100],"framework":[103],"non-separable":[105],"denoising":[106],"functions":[107],"subsequently,":[109],"state":[111,133],"evolution":[112,134],"holds":[113],"for":[114,140,148,169,182],"AMP-BP":[117],"algorithm.":[118],"Leveraging":[119],"rich":[121],"structure":[122],"proposes":[128],"low-dimensional":[131],"recursion":[135],"can":[137],"be":[138,179],"used":[139],"hyperparameter":[142],"tuning,":[143],"thus":[144],"paving":[145],"way":[147],"future":[149],"work":[150],"optimal":[152],"design.":[154],"Finally,":[155],"numerical":[156],"simulations":[157],"demonstrate":[158],"codes":[161,164,175],"outperform":[162],"contemporary":[163],"over":[165,186],"AWGN":[167,188],"channel":[168],"parameters":[170],"practical":[172],"interest.":[173],"to":[178],"viable":[180],"means":[181],"obtaining":[183],"shaping":[184],"gains":[185],"channel.":[189]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":3}],"updated_date":"2026-06-19T17:40:00.097472","created_date":"2025-10-10T00:00:00"}
