{"id":"https://openalex.org/W3015152803","doi":"https://doi.org/10.1109/lsp.2020.2983557","title":"Stacked Bayesian Matching Pursuit for One-Bit Compressed Sensing","display_name":"Stacked Bayesian Matching Pursuit for One-Bit Compressed Sensing","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3015152803","doi":"https://doi.org/10.1109/lsp.2020.2983557","mag":"3015152803"},"language":"en","primary_location":{"id":"doi:10.1109/lsp.2020.2983557","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2020.2983557","pdf_url":null,"source":{"id":"https://openalex.org/S120629676","display_name":"IEEE Signal Processing Letters","issn_l":"1070-9908","issn":["1070-9908","1558-2361"],"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 Signal Processing Letters","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/A5001728130","display_name":"Jeongmin Chae","orcid":"https://orcid.org/0000-0001-6007-1300"},"institutions":[{"id":"https://openalex.org/I57664883","display_name":"Ajou University","ror":"https://ror.org/03tzb2h73","country_code":"KR","type":"education","lineage":["https://openalex.org/I57664883"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Jeongmin Chae","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Ajou University, Suwon, Korea","Department of Electrical and Computer Engineering Ajou University Suwon, Korea"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Ajou University, Suwon, Korea","institution_ids":["https://openalex.org/I57664883"]},{"raw_affiliation_string":"Department of Electrical and Computer Engineering Ajou University Suwon, Korea","institution_ids":["https://openalex.org/I57664883"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006274046","display_name":"Seonho Kim","orcid":"https://orcid.org/0000-0001-8833-8927"},"institutions":[{"id":"https://openalex.org/I52357470","display_name":"The Ohio State University","ror":"https://ror.org/00rs6vg23","country_code":"US","type":"education","lineage":["https://openalex.org/I52357470"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Seonho Kim","raw_affiliation_strings":["Department of Electrical and Computer Engineering, The Ohio State University, Columbus, OH, USA","Dept. of Electrical and Computer Engineering, The Ohio State University, Columbus, OH, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, The Ohio State University, Columbus, OH, USA","institution_ids":["https://openalex.org/I52357470"]},{"raw_affiliation_string":"Dept. of Electrical and Computer Engineering, The Ohio State University, Columbus, OH, USA","institution_ids":["https://openalex.org/I52357470"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5084652371","display_name":"Song\u2010Nam Hong","orcid":"https://orcid.org/0000-0002-9535-2521"},"institutions":[{"id":"https://openalex.org/I57664883","display_name":"Ajou University","ror":"https://ror.org/03tzb2h73","country_code":"KR","type":"education","lineage":["https://openalex.org/I57664883"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Songnam Hong","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Ajou University, Suwon, Korea","Department of Electrical and Computer Engineering Ajou University Suwon, Korea"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Ajou University, Suwon, Korea","institution_ids":["https://openalex.org/I57664883"]},{"raw_affiliation_string":"Department of Electrical and Computer Engineering Ajou University Suwon, Korea","institution_ids":["https://openalex.org/I57664883"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5001728130"],"corresponding_institution_ids":["https://openalex.org/I57664883"],"apc_list":null,"apc_paid":null,"fwci":0.3521,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.524428,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":"27","issue":null,"first_page":"550","last_page":"554"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":1.0,"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":1.0,"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/T11739","display_name":"Microwave Imaging and Scattering Analysis","score":0.9972000122070312,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical 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/matching-pursuit","display_name":"Matching pursuit","score":0.7830712795257568},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6587687134742737},{"id":"https://openalex.org/keywords/compressed-sensing","display_name":"Compressed sensing","score":0.6488088965415955},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.5947691798210144},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5385047197341919},{"id":"https://openalex.org/keywords/bit","display_name":"Bit (key)","score":0.5306633710861206},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.47040706872940063},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4515281915664673},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.36908119916915894},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.32512974739074707},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.20157736539840698},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.1195286214351654},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.0762372612953186}],"concepts":[{"id":"https://openalex.org/C156872377","wikidata":"https://www.wikidata.org/wiki/Q6786281","display_name":"Matching pursuit","level":3,"score":0.7830712795257568},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6587687134742737},{"id":"https://openalex.org/C124851039","wikidata":"https://www.wikidata.org/wiki/Q2665459","display_name":"Compressed sensing","level":2,"score":0.6488088965415955},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.5947691798210144},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5385047197341919},{"id":"https://openalex.org/C117011727","wikidata":"https://www.wikidata.org/wiki/Q1278488","display_name":"Bit (key)","level":2,"score":0.5306633710861206},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.47040706872940063},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4515281915664673},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.36908119916915894},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.32512974739074707},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.20157736539840698},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.1195286214351654},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0762372612953186}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lsp.2020.2983557","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2020.2983557","pdf_url":null,"source":{"id":"https://openalex.org/S120629676","display_name":"IEEE Signal Processing Letters","issn_l":"1070-9908","issn":["1070-9908","1558-2361"],"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 Signal Processing Letters","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1477165083","display_name":null,"funder_award_id":"UD190033ED","funder_id":"https://openalex.org/F4320323103","funder_display_name":"Agency for Defense Development"}],"funders":[{"id":"https://openalex.org/F4320323103","display_name":"Agency for Defense Development","ror":"https://ror.org/05fhe0r85"},{"id":"https://openalex.org/F4320334874","display_name":"Defense Acquisition Program Administration","ror":"https://ror.org/04bjg9m96"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W2012378226","https://openalex.org/W2060430274","https://openalex.org/W2112038498","https://openalex.org/W2127271355","https://openalex.org/W2140856955","https://openalex.org/W2150991625","https://openalex.org/W2154423986","https://openalex.org/W2963322354","https://openalex.org/W2963753848","https://openalex.org/W2964322027","https://openalex.org/W2965115305","https://openalex.org/W2982040231","https://openalex.org/W6769656931"],"related_works":["https://openalex.org/W2551136801","https://openalex.org/W3042864758","https://openalex.org/W2353443191","https://openalex.org/W2136499280","https://openalex.org/W2963814543","https://openalex.org/W2391245565","https://openalex.org/W2354465635","https://openalex.org/W2244779222","https://openalex.org/W3209093869","https://openalex.org/W2735831730"],"abstract_inverted_index":{"We":[0],"consider":[1],"a":[2,8,13,25,40,50,56,59,92,110,131,178,195],"compressed":[3],"sensing":[4],"problem":[5],"to":[6,116,129,148],"recover":[7],"sparse":[9],"signal":[10],"vector":[11],"from":[12,88],"small":[14],"number":[15,132],"of":[16,109,124,133],"one-bit":[17],"quantized":[18],"and":[19,77,146],"noisy":[20],"measurements.":[21],"In":[22],"this":[23],"system,":[24],"probabilistic":[26],"greedy":[27,103],"algorithm,":[28,112],"called":[29],"bayesian":[30],"matching":[31],"pursuit":[32],"(BMP),":[33],"has":[34],"been":[35],"recently":[36],"proposed":[37,126,164,186],"in":[38,142,160],"which":[39,113,175],"new":[41],"support":[42,140],"index":[43],"is":[44,85,114,128],"identified":[45],"for":[46],"each":[47],"iteration,":[48],"via":[49],"local":[51],"optimal":[52,94,152],"strategy":[53],"based":[54],"on":[55],"Gaussian-approximated":[57],"maximum":[58],"posteriori":[60],"estimation.":[61],"Although":[62],"BMP":[63,119,192],"can":[64,166,176,188],"outperform":[65],"the":[66,89,107,125,138,150,157,161,185,191],"other":[67],"existing":[68],"methods":[69],"as":[70,117],"Quantized":[71,78],"Compressive":[72],"Sampling":[73],"Matched":[74],"Pursuit":[75],"(QCoSaMP)":[76],"Iterative":[79],"Shrinkage-Thresholding":[80],"Algorithm":[81],"(QISTA),":[82],"its":[83],"accuracy":[84],"still":[86],"far":[87],"optimal,":[90],"yielding":[91],"locally":[93],"solution.":[95],"Motivated":[96],"by":[97,105,154,193],"this,":[98],"we":[99],"propose":[100],"an":[101,143],"advanced":[102],"algorithm":[104,127],"leveraging":[106],"idea":[108,123],"stack":[111,145],"referred":[115],"stacked":[118],"(StBMP).":[120],"The":[121,163],"key":[122],"store":[130],"candidate":[134,139],"partial":[135],"paths":[136,170],"(i.e.,":[137],"sets)":[141],"ordered":[144],"tries":[147],"find":[149],"global":[151],"solution":[153],"searching":[155],"along":[156],"best":[158],"path":[159,173],"stack.":[162],"method":[165],"efficiently":[167],"remove":[168],"unnecessary":[169],"having":[171],"lower":[172,179],"metrics,":[174],"provide":[177],"complexity.":[180,198],"Simulation":[181],"results":[182],"demonstrate":[183],"that":[184],"StBMP":[187],"significantly":[189],"improve":[190],"keeping":[194],"low":[196],"computational":[197]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
