{"id":"https://openalex.org/W2978160194","doi":"https://doi.org/10.1109/iccchina.2019.8855871","title":"Compressive Classification Based on One-Bit Measurements","display_name":"Compressive Classification Based on One-Bit Measurements","publication_year":2019,"publication_date":"2019-08-01","ids":{"openalex":"https://openalex.org/W2978160194","doi":"https://doi.org/10.1109/iccchina.2019.8855871","mag":"2978160194"},"language":"en","primary_location":{"id":"doi:10.1109/iccchina.2019.8855871","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccchina.2019.8855871","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE/CIC International Conference on Communications in China (ICCC)","raw_type":"proceedings-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/A5063477353","display_name":"Qihang Liu","orcid":"https://orcid.org/0000-0001-9843-2482"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Qihang Liu","raw_affiliation_strings":["Key Laboratory of Universal Wireless Communication, Ministry of Education, Beijing University of Posts and Telecommunications, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Universal Wireless Communication, Ministry of Education, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034496384","display_name":"Wenbo Xu","orcid":"https://orcid.org/0000-0003-0791-7690"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenbo Xu","raw_affiliation_strings":["Key Laboratory of Universal Wireless Communication, Ministry of Education, Beijing University of Posts and Telecommunications, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Universal Wireless Communication, Ministry of Education, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041550135","display_name":"Yifei Dang","orcid":null},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yifei Dang","raw_affiliation_strings":["Key Laboratory of Universal Wireless Communication, Ministry of Education, Beijing University of Posts and Telecommunications, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Universal Wireless Communication, Ministry of Education, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5114073122","display_name":"Xiaolin Wang","orcid":"https://orcid.org/0009-0006-2697-9976"},"institutions":[{"id":"https://openalex.org/I202334528","display_name":"Beijing Electronic Science and Technology Institute","ror":"https://ror.org/01xdzh226","country_code":"CN","type":"education","lineage":["https://openalex.org/I202334528"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaolin Wang","raw_affiliation_strings":["Beijing Institute of Control and Electronic Technology, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing Institute of Control and Electronic Technology, Beijing, China","institution_ids":["https://openalex.org/I202334528"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5063477353"],"corresponding_institution_ids":["https://openalex.org/I139759216"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.11912538,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"101","last_page":"105"},"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":0.9980999827384949,"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/T12879","display_name":"Distributed Sensor Networks and Detection Algorithms","score":0.9921000003814697,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/compressed-sensing","display_name":"Compressed sensing","score":0.8824270963668823},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7429026961326599},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.4641484022140503},{"id":"https://openalex.org/keywords/bandwidth","display_name":"Bandwidth (computing)","score":0.4388425052165985},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.42119792103767395},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4079289138317108},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3915538489818573}],"concepts":[{"id":"https://openalex.org/C124851039","wikidata":"https://www.wikidata.org/wiki/Q2665459","display_name":"Compressed sensing","level":2,"score":0.8824270963668823},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7429026961326599},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.4641484022140503},{"id":"https://openalex.org/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.4388425052165985},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.42119792103767395},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4079289138317108},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3915538489818573},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iccchina.2019.8855871","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccchina.2019.8855871","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE/CIC International Conference on Communications in China (ICCC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","score":0.4099999964237213,"display_name":"Affordable and clean energy"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W1490760466","https://openalex.org/W1576263545","https://openalex.org/W1828462930","https://openalex.org/W1956120499","https://openalex.org/W2030449718","https://openalex.org/W2083993605","https://openalex.org/W2109034718","https://openalex.org/W2120961178","https://openalex.org/W2126131432","https://openalex.org/W2145096794","https://openalex.org/W2296616510","https://openalex.org/W2423424310","https://openalex.org/W2470411918","https://openalex.org/W2604852836","https://openalex.org/W2734202545","https://openalex.org/W2754518759","https://openalex.org/W2786622159","https://openalex.org/W2793783688","https://openalex.org/W2804941726","https://openalex.org/W2883651283","https://openalex.org/W2905459276","https://openalex.org/W2962919833","https://openalex.org/W2963125259","https://openalex.org/W2963401889","https://openalex.org/W3124331469","https://openalex.org/W4250955649","https://openalex.org/W6640934289","https://openalex.org/W6676153447","https://openalex.org/W6741460597"],"related_works":["https://openalex.org/W2158224665","https://openalex.org/W2051487156","https://openalex.org/W2379589510","https://openalex.org/W2810730439","https://openalex.org/W4300044672","https://openalex.org/W1881631164","https://openalex.org/W2073681303","https://openalex.org/W2358292267","https://openalex.org/W2378166785","https://openalex.org/W1964277756"],"abstract_inverted_index":{"Classification":[0],"is":[1,78],"an":[2],"important":[3],"task":[4],"in":[5,31,80],"the":[6,19,32,55,60,70,84,91,99,103],"fields":[7],"of":[8,21,73,102,105],"signal":[9],"processing":[10],"and":[11,76,86,118,129],"machine":[12],"learning.":[13],"Compressive":[14],"classification":[15,42,46],"(CC),":[16],"which":[17,67],"exploits":[18],"technique":[20],"compressive":[22,41,50,74],"sensing":[23],"(CS),":[24],"appears":[25],"recently":[26],"that":[27,40],"directly":[28],"classifies":[29],"signals":[30],"compressed":[33],"domain.":[34],"The":[35],"existing":[36],"works":[37],"have":[38],"shown":[39],"can":[43],"achieve":[44],"reliable":[45],"based":[47,63],"on":[48,64],"few":[49],"measurements.":[51],"To":[52],"further":[53],"reduce":[54],"complexity,":[56],"this":[57],"paper":[58],"studies":[59],"one-bit":[61,65,108,115],"CC":[62,116],"CS,":[66],"only":[68],"acquires":[69],"sign":[71],"information":[72],"measurements,":[75],"thus":[77],"appealing":[79],"many":[81],"applications":[82],"when":[83],"bandwidth":[85],"energy":[87],"are":[88],"constrained.":[89],"When":[90],"sources":[92],"follow":[93],"Gaussian":[94],"mixture":[95],"model,":[96],"we":[97],"derive":[98],"upper":[100],"bound":[101],"probability":[104],"misclassification":[106],"for":[107],"CC.":[109],"We":[110],"also":[111],"propose":[112],"a":[113],"practical":[114],"scheme":[117],"show":[119],"its":[120],"promising":[121],"performance":[122],"by":[123],"experiments":[124],"with":[125],"both":[126],"synthetic":[127],"data":[128],"real":[130],"image":[131],"data.":[132]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
