{"id":"https://openalex.org/W1499186134","doi":"https://doi.org/10.1109/spawc.2015.7227005","title":"Compressed Sensing using sparse binary measurements: A rateless coding perspective","display_name":"Compressed Sensing using sparse binary measurements: A rateless coding perspective","publication_year":2015,"publication_date":"2015-06-01","ids":{"openalex":"https://openalex.org/W1499186134","doi":"https://doi.org/10.1109/spawc.2015.7227005","mag":"1499186134"},"language":"en","primary_location":{"id":"doi:10.1109/spawc.2015.7227005","is_oa":false,"landing_page_url":"https://doi.org/10.1109/spawc.2015.7227005","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE 16th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://biblio.ugent.be/publication/5968840/file/7191595.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5035227760","display_name":"Dejan Vukobratovi\u0107","orcid":"https://orcid.org/0000-0002-5305-8420"},"institutions":[{"id":"https://openalex.org/I170726198","display_name":"University of Novi Sad","ror":"https://ror.org/00xa57a59","country_code":"RS","type":"education","lineage":["https://openalex.org/I170726198"]}],"countries":["RS"],"is_corresponding":false,"raw_author_name":"Dejan Vukobratovic","raw_affiliation_strings":["Department of Power, Electronics and Communications Engineering, University of Novi Sad, Serbia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Power, Electronics and Communications Engineering, University of Novi Sad, Serbia","institution_ids":["https://openalex.org/I170726198"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040046354","display_name":"Dino Sejdinovi\u0107","orcid":"https://orcid.org/0000-0001-5547-9213"},"institutions":[{"id":"https://openalex.org/I40120149","display_name":"University of Oxford","ror":"https://ror.org/052gg0110","country_code":"GB","type":"education","lineage":["https://openalex.org/I40120149"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Dino Sejdinovic","raw_affiliation_strings":["Department of Statistics, University of Oxford, UK","Department of Statistics & University College, University of Oxford, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Statistics, University of Oxford, UK","institution_ids":["https://openalex.org/I40120149"]},{"raw_affiliation_string":"Department of Statistics & University College, University of Oxford, UK","institution_ids":["https://openalex.org/I40120149"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5031078128","display_name":"Aleksandra Pi\u017eurica","orcid":"https://orcid.org/0000-0002-9322-4999"},"institutions":[{"id":"https://openalex.org/I32597200","display_name":"Ghent University","ror":"https://ror.org/00cv9y106","country_code":"BE","type":"education","lineage":["https://openalex.org/I32597200"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"Aleksandra Pizurica","raw_affiliation_strings":["Department of Telecommunications and Information Processing, Ghent University, Belgium","Department of Telecommunications and Information Processing, Ghent University, Belgium#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Telecommunications and Information Processing, Ghent University, Belgium","institution_ids":["https://openalex.org/I32597200"]},{"raw_affiliation_string":"Department of Telecommunications and Information Processing, Ghent University, Belgium#TAB#","institution_ids":["https://openalex.org/I32597200"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"86","last_page":"90"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11321","display_name":"Error Correcting Code Techniques","score":0.9998999834060669,"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":0.9998999834060669,"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/T10148","display_name":"Advanced MIMO Systems Optimization","score":0.9993000030517578,"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/low-density-parity-check-code","display_name":"Low-density parity-check code","score":0.8480968475341797},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6983234286308289},{"id":"https://openalex.org/keywords/compressed-sensing","display_name":"Compressed sensing","score":0.5953859686851501},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.5673013925552368},{"id":"https://openalex.org/keywords/binary-number","display_name":"Binary number","score":0.5631494522094727},{"id":"https://openalex.org/keywords/dense-graph","display_name":"Dense graph","score":0.5495150089263916},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5416432619094849},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.5271044969558716},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.5261667966842651},{"id":"https://openalex.org/keywords/sparse-matrix","display_name":"Sparse matrix","score":0.4601590633392334},{"id":"https://openalex.org/keywords/perspective","display_name":"Perspective (graphical)","score":0.4368104338645935},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.3566085696220398},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.20731091499328613},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.13231417536735535},{"id":"https://openalex.org/keywords/line-graph","display_name":"Line graph","score":0.07274982333183289},{"id":"https://openalex.org/keywords/arithmetic","display_name":"Arithmetic","score":0.06989330053329468}],"concepts":[{"id":"https://openalex.org/C67692717","wikidata":"https://www.wikidata.org/wiki/Q187444","display_name":"Low-density parity-check code","level":3,"score":0.8480968475341797},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6983234286308289},{"id":"https://openalex.org/C124851039","wikidata":"https://www.wikidata.org/wiki/Q2665459","display_name":"Compressed sensing","level":2,"score":0.5953859686851501},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.5673013925552368},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.5631494522094727},{"id":"https://openalex.org/C13251829","wikidata":"https://www.wikidata.org/wiki/Q3085841","display_name":"Dense graph","level":5,"score":0.5495150089263916},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5416432619094849},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.5271044969558716},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.5261667966842651},{"id":"https://openalex.org/C56372850","wikidata":"https://www.wikidata.org/wiki/Q1050404","display_name":"Sparse matrix","level":3,"score":0.4601590633392334},{"id":"https://openalex.org/C12713177","wikidata":"https://www.wikidata.org/wiki/Q1900281","display_name":"Perspective (graphical)","level":2,"score":0.4368104338645935},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.3566085696220398},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.20731091499328613},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.13231417536735535},{"id":"https://openalex.org/C203776342","wikidata":"https://www.wikidata.org/wiki/Q1378376","display_name":"Line graph","level":3,"score":0.07274982333183289},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.06989330053329468},{"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/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C102192266","wikidata":"https://www.wikidata.org/wiki/Q4545823","display_name":"1-planar graph","level":4,"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":2,"locations":[{"id":"doi:10.1109/spawc.2015.7227005","is_oa":false,"landing_page_url":"https://doi.org/10.1109/spawc.2015.7227005","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE 16th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC)","raw_type":"proceedings-article"},{"id":"pmh:oai:archive.ugent.be:5968840","is_oa":true,"landing_page_url":"http://hdl.handle.net/1854/LU-5968840","pdf_url":"https://biblio.ugent.be/publication/5968840/file/7191595.pdf","source":{"id":"https://openalex.org/S4306400478","display_name":"Ghent University Academic Bibliography (Ghent University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I32597200","host_organization_name":"Ghent University","host_organization_lineage":["https://openalex.org/I32597200"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"ISBN: 978-1-4799-1931-4","raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":{"id":"pmh:oai:archive.ugent.be:5968840","is_oa":true,"landing_page_url":"http://hdl.handle.net/1854/LU-5968840","pdf_url":"https://biblio.ugent.be/publication/5968840/file/7191595.pdf","source":{"id":"https://openalex.org/S4306400478","display_name":"Ghent University Academic Bibliography (Ghent University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I32597200","host_organization_name":"Ghent University","host_organization_lineage":["https://openalex.org/I32597200"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"ISBN: 978-1-4799-1931-4","raw_type":"info:eu-repo/semantics/conferenceObject"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W1499186134.pdf"},"referenced_works_count":25,"referenced_works":["https://openalex.org/W1972089793","https://openalex.org/W1985045203","https://openalex.org/W1991468147","https://openalex.org/W1991971747","https://openalex.org/W2006334021","https://openalex.org/W2022979445","https://openalex.org/W2029268759","https://openalex.org/W2076318216","https://openalex.org/W2080175226","https://openalex.org/W2082029531","https://openalex.org/W2098171669","https://openalex.org/W2101394529","https://openalex.org/W2107086875","https://openalex.org/W2109361284","https://openalex.org/W2112858600","https://openalex.org/W2131713057","https://openalex.org/W2134499105","https://openalex.org/W2135859872","https://openalex.org/W2137957680","https://openalex.org/W2293000460","https://openalex.org/W2296125569","https://openalex.org/W2625839330","https://openalex.org/W4229922087","https://openalex.org/W6657651502","https://openalex.org/W6739791472"],"related_works":["https://openalex.org/W2737338842","https://openalex.org/W3005946484","https://openalex.org/W4388101094","https://openalex.org/W2483318309","https://openalex.org/W2323703259","https://openalex.org/W4206674624","https://openalex.org/W1566229417","https://openalex.org/W4230774395","https://openalex.org/W4316252382","https://openalex.org/W2542063421"],"abstract_inverted_index":{"Compressed":[0],"Sensing":[1],"(CS)":[2],"methods":[3],"using":[4,86,97],"sparse":[5],"binary":[6],"measurement":[7],"matrices":[8],"and":[9,24,58,71,92,95],"iterative":[10],"message-passing":[11],"recovery":[12],"procedures":[13],"have":[14],"been":[15],"recently":[16],"investigated":[17],"due":[18],"to":[19,49],"their":[20],"low":[21],"computational":[22],"complexity":[23],"excellent":[25],"performance.":[26],"Drawing":[27],"much":[28],"of":[29,68],"inspiration":[30],"from":[31,45],"sparse-graph":[32,73],"codes":[33,74],"such":[34,88],"as":[35,89],"Low-Density":[36],"Parity-Check":[37],"(LDPC)":[38],"codes,":[39],"these":[40],"studies":[41],"use":[42],"analytical":[43],"tools":[44,87],"modern":[46],"coding":[47],"theory":[48],"analyze":[50,60],"CS":[51,62,81],"solutions.":[52],"In":[53],"this":[54],"paper,":[55],"we":[56],"consider":[57],"systematically":[59],"the":[61],"setup":[63,82],"inspired":[64],"by":[65],"a":[66],"class":[67],"efficient,":[69],"popular":[70],"flexible":[72],"called":[75],"rateless":[76,80],"codes.":[77],"The":[78],"proposed":[79],"is":[83],"asymptotically":[84],"analyzed":[85],"Density":[90],"Evolution":[91],"EXIT":[93],"charts":[94],"fine-tuned":[96],"degree":[98],"distribution":[99],"optimization":[100],"techniques.":[101]},"counts_by_year":[{"year":2018,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
