{"id":"https://openalex.org/W2605956430","doi":"https://doi.org/10.1109/lcomm.2017.2695190","title":"A Training-Free One-Bit Compressed Sensing Framework for Wireless Neural Recording","display_name":"A Training-Free One-Bit Compressed Sensing Framework for Wireless Neural Recording","publication_year":2017,"publication_date":"2017-04-18","ids":{"openalex":"https://openalex.org/W2605956430","doi":"https://doi.org/10.1109/lcomm.2017.2695190","mag":"2605956430"},"language":"en","primary_location":{"id":"doi:10.1109/lcomm.2017.2695190","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lcomm.2017.2695190","pdf_url":null,"source":{"id":"https://openalex.org/S147316732","display_name":"IEEE Communications Letters","issn_l":"1089-7798","issn":["1089-7798","1558-2558","2373-7891"],"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 Communications 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/A5084878606","display_name":"Biao Sun","orcid":"https://orcid.org/0000-0002-4124-9350"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Biao Sun","raw_affiliation_strings":["School of Electrical and Information Engineering, Tianjin University, Tianjin, China"],"raw_orcid":"https://orcid.org/0000-0002-4124-9350","affiliations":[{"raw_affiliation_string":"School of Electrical and Information Engineering, Tianjin University, Tianjin, China","institution_ids":["https://openalex.org/I162868743"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5025841278","display_name":"Yuming Ni","orcid":null},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuming Ni","raw_affiliation_strings":["School of Electrical and Information Engineering, Tianjin University, Tianjin, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical and Information Engineering, Tianjin University, Tianjin, China","institution_ids":["https://openalex.org/I162868743"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5084878606"],"corresponding_institution_ids":["https://openalex.org/I162868743"],"apc_list":null,"apc_paid":null,"fwci":0.9877,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.73040002,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"21","issue":"8","first_page":"1775","last_page":"1778"},"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":0.9998000264167786,"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/T11233","display_name":"Advanced Adaptive Filtering Techniques","score":0.9997000098228455,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8158946633338928},{"id":"https://openalex.org/keywords/compressed-sensing","display_name":"Compressed sensing","score":0.7033115029335022},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6227613687515259},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.5866643786430359},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.4786882996559143},{"id":"https://openalex.org/keywords/minification","display_name":"Minification","score":0.4689449965953827},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.45522889494895935},{"id":"https://openalex.org/keywords/computational-complexity-theory","display_name":"Computational complexity theory","score":0.43171849846839905},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3529621958732605},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.11002030968666077}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8158946633338928},{"id":"https://openalex.org/C124851039","wikidata":"https://www.wikidata.org/wiki/Q2665459","display_name":"Compressed sensing","level":2,"score":0.7033115029335022},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6227613687515259},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.5866643786430359},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.4786882996559143},{"id":"https://openalex.org/C147764199","wikidata":"https://www.wikidata.org/wiki/Q6865248","display_name":"Minification","level":2,"score":0.4689449965953827},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.45522889494895935},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.43171849846839905},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3529621958732605},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.11002030968666077},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lcomm.2017.2695190","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lcomm.2017.2695190","pdf_url":null,"source":{"id":"https://openalex.org/S147316732","display_name":"IEEE Communications Letters","issn_l":"1089-7798","issn":["1089-7798","1558-2558","2373-7891"],"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 Communications Letters","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4099999964237213,"id":"https://metadata.un.org/sdg/8","display_name":"Decent work and economic growth"}],"awards":[{"id":"https://openalex.org/G2055615312","display_name":null,"funder_award_id":"51578189","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8488924448","display_name":null,"funder_award_id":"61401303","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W1605194072","https://openalex.org/W1904639934","https://openalex.org/W1964943109","https://openalex.org/W2004544971","https://openalex.org/W2018255768","https://openalex.org/W2032712527","https://openalex.org/W2066796814","https://openalex.org/W2107844156","https://openalex.org/W2134996791","https://openalex.org/W2136104104","https://openalex.org/W2166659185","https://openalex.org/W2300479239","https://openalex.org/W2467847271","https://openalex.org/W2507344106","https://openalex.org/W2577387374","https://openalex.org/W2580414508","https://openalex.org/W2594107175","https://openalex.org/W2963791893","https://openalex.org/W4250955649"],"related_works":["https://openalex.org/W2158224665","https://openalex.org/W2379589510","https://openalex.org/W4300044672","https://openalex.org/W2810730439","https://openalex.org/W1881631164","https://openalex.org/W2358292267","https://openalex.org/W2378166785","https://openalex.org/W1964277756","https://openalex.org/W2465351041","https://openalex.org/W2208932071"],"abstract_inverted_index":{"Signal":[0],"compression":[1],"is":[2,99],"crucial":[3],"for":[4,35,70],"resource-constrained":[5],"wireless":[6,36],"neural":[7,37],"recording":[8,38],"applications":[9],"with":[10],"limited":[11],"data":[12,73,111],"bandwidth,":[13],"and":[14,50,66,74,138],"compressed":[15,32],"sensing":[16,33],"(CS)":[17],"has":[18],"successfully":[19],"demonstrated":[20],"its":[21],"potential":[22],"in":[23,132],"this":[24],"field.":[25],"This":[26],"letter":[27],"proposes":[28],"a":[29,52],"training-free":[30],"one-bit":[31,105],"framework":[34],"applications.":[39],"By":[40],"adopting":[41],"the":[42,47,57,62,68,92,115,122,128],"analysis":[43,58,79,93],"model":[44],"to":[45,101],"enforce":[46],"signal":[48],"sparsity":[49],"constructing":[51],"multi-order":[53],"difference":[54],"matrix":[55],"as":[56],"operator,":[59],"it":[60],"avoids":[61],"dictionary":[63],"learning":[64],"procedure":[65],"reduces":[67,121],"need":[69],"previously":[71],"acquired":[72],"computational":[75],"complexity.":[76],"Also,":[77],"an":[78],"l":[80],"<sub":[81],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[82],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">p</sub>":[83],"-minimization":[84],"approach,":[85],"which":[86],"can":[87],"be":[88],"effectively":[89],"solved":[90],"by":[91],"iteratively":[94],"reweighted":[95],"least":[96],"squares":[97],"algorithm,":[98],"proposed":[100,116],"recover":[102],"signals":[103],"from":[104],"measurements.":[106],"Experimental":[107],"results":[108],"on":[109],"real":[110],"set":[112],"reveal":[113],"that":[114],"approach":[117],"not":[118],"only":[119],"drastically":[120],"transmission":[123],"bits":[124],"but":[125],"also":[126],"outperforms":[127],"state-of-the-art":[129],"CS-based":[130],"methods":[131],"terms":[133],"of":[134],"both":[135],"recovery":[136],"accuracy":[137],"noise":[139],"robustness.":[140]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2017,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
