{"id":"https://openalex.org/W4312471917","doi":"https://doi.org/10.1109/access.2022.3219850","title":"1-Bit Compressed Sensing via an L1-TV Regularization Method","display_name":"1-Bit Compressed Sensing via an L1-TV Regularization Method","publication_year":2022,"publication_date":"2022-01-01","ids":{"openalex":"https://openalex.org/W4312471917","doi":"https://doi.org/10.1109/access.2022.3219850"},"language":"en","primary_location":{"id":"doi:10.1109/access.2022.3219850","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2022.3219850","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/09940242.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/09940242.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5045980348","display_name":"Jingyao Hou","orcid":"https://orcid.org/0000-0002-7539-8207"},"institutions":[{"id":"https://openalex.org/I16351329","display_name":"China West Normal University","ror":"https://ror.org/04s99y476","country_code":"CN","type":"education","lineage":["https://openalex.org/I16351329"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jingyao Hou","raw_affiliation_strings":["Key Laboratory of Optimization Theory and Applications, School of Mathematics and Information, China West Normal University, Nanchong, China"],"raw_orcid":"https://orcid.org/0000-0002-7539-8207","affiliations":[{"raw_affiliation_string":"Key Laboratory of Optimization Theory and Applications, School of Mathematics and Information, China West Normal University, Nanchong, China","institution_ids":["https://openalex.org/I16351329"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5036013518","display_name":"Xinling Liu","orcid":"https://orcid.org/0000-0003-4524-6517"},"institutions":[{"id":"https://openalex.org/I142108993","display_name":"Southwest University","ror":"https://ror.org/01kj4z117","country_code":"CN","type":"education","lineage":["https://openalex.org/I142108993"]},{"id":"https://openalex.org/I16351329","display_name":"China West Normal University","ror":"https://ror.org/04s99y476","country_code":"CN","type":"education","lineage":["https://openalex.org/I16351329"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinling Liu","raw_affiliation_strings":["Key Laboratory of Optimization Theory and Applications, School of Mathematics and Information, China West Normal University, Nanchong, China","School of Mathematics and Statistics, Southwest University, Chongqing, China"],"raw_orcid":"https://orcid.org/0000-0003-4524-6517","affiliations":[{"raw_affiliation_string":"Key Laboratory of Optimization Theory and Applications, School of Mathematics and Information, China West Normal University, Nanchong, China","institution_ids":["https://openalex.org/I16351329"]},{"raw_affiliation_string":"School of Mathematics and Statistics, Southwest University, Chongqing, China","institution_ids":["https://openalex.org/I142108993"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5045980348"],"corresponding_institution_ids":["https://openalex.org/I16351329"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":1.3283,"has_fulltext":true,"cited_by_count":8,"citation_normalized_percentile":{"value":0.77012924,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":"10","issue":null,"first_page":"116473","last_page":"116484"},"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/T11778","display_name":"Electrical and Bioimpedance Tomography","score":0.9987999796867371,"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/T12015","display_name":"Photoacoustic and Ultrasonic Imaging","score":0.998199999332428,"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/dither","display_name":"Dither","score":0.9042742848396301},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7285008430480957},{"id":"https://openalex.org/keywords/compressed-sensing","display_name":"Compressed sensing","score":0.6854267120361328},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.6409139633178711},{"id":"https://openalex.org/keywords/regularization","display_name":"Regularization (linguistics)","score":0.6183911561965942},{"id":"https://openalex.org/keywords/signal-recovery","display_name":"Signal recovery","score":0.4331650137901306},{"id":"https://openalex.org/keywords/sparse-matrix","display_name":"Sparse matrix","score":0.428832471370697},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2633986175060272},{"id":"https://openalex.org/keywords/bandwidth","display_name":"Bandwidth (computing)","score":0.14062723517417908},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.09827232360839844}],"concepts":[{"id":"https://openalex.org/C70451592","wikidata":"https://www.wikidata.org/wiki/Q376493","display_name":"Dither","level":3,"score":0.9042742848396301},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7285008430480957},{"id":"https://openalex.org/C124851039","wikidata":"https://www.wikidata.org/wiki/Q2665459","display_name":"Compressed sensing","level":2,"score":0.6854267120361328},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.6409139633178711},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.6183911561965942},{"id":"https://openalex.org/C2989281035","wikidata":"https://www.wikidata.org/wiki/Q120811","display_name":"Signal recovery","level":3,"score":0.4331650137901306},{"id":"https://openalex.org/C56372850","wikidata":"https://www.wikidata.org/wiki/Q1050404","display_name":"Sparse matrix","level":3,"score":0.428832471370697},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2633986175060272},{"id":"https://openalex.org/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.14062723517417908},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.09827232360839844},{"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/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/access.2022.3219850","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2022.3219850","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/09940242.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:e9c81472ce554d0b9ee735c9893fc029","is_oa":true,"landing_page_url":"https://doaj.org/article/e9c81472ce554d0b9ee735c9893fc029","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 10, Pp 116473-116484 (2022)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2022.3219850","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2022.3219850","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/09940242.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","score":0.5199999809265137,"id":"https://metadata.un.org/sdg/16"}],"awards":[{"id":"https://openalex.org/G1853603143","display_name":null,"funder_award_id":"12201505","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7959659299","display_name":null,"funder_award_id":"20B001","funder_id":"https://openalex.org/F4320335881","funder_display_name":"Fundamental Research Funds of China West Normal University"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335881","display_name":"Fundamental Research Funds of China West Normal University","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4312471917.pdf","grobid_xml":"https://content.openalex.org/works/W4312471917.grobid-xml"},"referenced_works_count":33,"referenced_works":["https://openalex.org/W1492279613","https://openalex.org/W1605194072","https://openalex.org/W1978333359","https://openalex.org/W1982222550","https://openalex.org/W2002990237","https://openalex.org/W2021535288","https://openalex.org/W2036977160","https://openalex.org/W2041651212","https://openalex.org/W2050023599","https://openalex.org/W2054010646","https://openalex.org/W2060430274","https://openalex.org/W2069055731","https://openalex.org/W2095409369","https://openalex.org/W2107838694","https://openalex.org/W2111895931","https://openalex.org/W2112038498","https://openalex.org/W2140514146","https://openalex.org/W2146857427","https://openalex.org/W2151642225","https://openalex.org/W2294622949","https://openalex.org/W2568311054","https://openalex.org/W2763081248","https://openalex.org/W2888869421","https://openalex.org/W2890992157","https://openalex.org/W2964175798","https://openalex.org/W2964322027","https://openalex.org/W3008251836","https://openalex.org/W3125195138","https://openalex.org/W3165260969","https://openalex.org/W4250589301","https://openalex.org/W4250955649","https://openalex.org/W6629483375","https://openalex.org/W6676670120"],"related_works":["https://openalex.org/W1502442302","https://openalex.org/W2087326866","https://openalex.org/W2118132594","https://openalex.org/W2078389543","https://openalex.org/W3024569604","https://openalex.org/W2136676913","https://openalex.org/W3005946484","https://openalex.org/W3029251452","https://openalex.org/W3040759966","https://openalex.org/W2737338842"],"abstract_inverted_index":{"This":[0],"paper":[1],"considers":[2],"the":[3,39,49,63,71,78,83,97,109,116,138],"1-bit":[4,44],"compressed":[5],"sensing":[6],"(1-bit":[7],"CS)":[8],"of":[9,85,100,128,140],"signals":[10],"that":[11,48,57,70,107],"are":[12,25],"simultaneously":[13],"sparse":[14],"and":[15,20,30,133],"gradient":[16],"sparse.":[17],"Since":[18],"L1-norm":[19],"total":[21],"variation":[22],"(TV)":[23],"penalties":[24],"beneficial":[26],"for":[27,43,77,111],"reconstructing":[28],"element-sparse":[29],"gradient-sparse":[31],"signals,":[32],"respectively,":[33],"we":[34,90,124],"combine":[35],"both":[36,131],"to":[37,95,121,136],"propose":[38],"L1-TV":[40],"regularization":[41],"model":[42,51],"CS.":[45],"We":[46],"show":[47,137],"proposed":[50],"has":[52],"a":[53,87,126],"closed-form":[54],"solution":[55,72],"so":[56],"one":[58],"can":[59],"easily":[60],"calculate.":[61],"Despite":[62],"apparent":[64],"simplicity,":[65],"our":[66,141],"theoretical":[67,122],"analysis":[68],"reveals":[69],"provides":[73],"an":[74,92],"approximate":[75],"estimate":[76],"underlying":[79],"signal.":[80],"Besides,":[81],"in":[82],"case":[84],"introducing":[86],"dither":[88,110],"vector,":[89],"develop":[91],"adaptive":[93],"algorithm":[94],"accelerate":[96],"decay":[98],"rate":[99],"recovery":[101],"error.":[102],"The":[103],"key":[104],"idea":[105],"is":[106],"generating":[108],"each":[112],"iteration":[113],"relying":[114],"on":[115,130],"last":[117],"estimate.":[118],"In":[119],"addition":[120],"analysis,":[123],"conduct":[125],"series":[127],"experiments":[129],"synthetic":[132],"real-world":[134],"data":[135],"superiority":[139],"algorithms.":[142]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2}],"updated_date":"2026-05-06T08:25:59.206177","created_date":"2025-10-10T00:00:00"}