{"id":"https://openalex.org/W4407351709","doi":"https://doi.org/10.1109/tvlsi.2025.3532948","title":"A Study of Signed-Digit Hybrid Stochastic Number for Arithmetic Computing","display_name":"A Study of Signed-Digit Hybrid Stochastic Number for Arithmetic Computing","publication_year":2025,"publication_date":"2025-02-10","ids":{"openalex":"https://openalex.org/W4407351709","doi":"https://doi.org/10.1109/tvlsi.2025.3532948"},"language":"en","primary_location":{"id":"doi:10.1109/tvlsi.2025.3532948","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tvlsi.2025.3532948","pdf_url":null,"source":{"id":"https://openalex.org/S37538908","display_name":"IEEE Transactions on Very Large Scale Integration (VLSI) Systems","issn_l":"1063-8210","issn":["1063-8210","1557-9999"],"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 Transactions on Very Large Scale Integration (VLSI) Systems","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/A5100857220","display_name":"Yinjie Song","orcid":"https://orcid.org/0009-0003-9748-3618"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yinjie Song","raw_affiliation_strings":["School of Electronic Information Engineering, Beihang University, Beijing, China"],"raw_orcid":"https://orcid.org/0009-0003-9748-3618","affiliations":[{"raw_affiliation_string":"School of Electronic Information Engineering, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029610297","display_name":"Hongge Li","orcid":"https://orcid.org/0000-0001-7107-7804"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongge Li","raw_affiliation_strings":["School of Electronic Information Engineering, Beihang University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-7107-7804","affiliations":[{"raw_affiliation_string":"School of Electronic Information Engineering, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111340694","display_name":"Xinyu Zhu","orcid":"https://orcid.org/0009-0000-0147-5241"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinyu Zhu","raw_affiliation_strings":["School of Electronic Information Engineering, Beihang University, Beijing, China"],"raw_orcid":"https://orcid.org/0009-0000-0147-5241","affiliations":[{"raw_affiliation_string":"School of Electronic Information Engineering, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100321274","display_name":"Yuhao Chen","orcid":"https://orcid.org/0000-0003-3418-1180"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuhao Chen","raw_affiliation_strings":["School of Electronic Information Engineering, Beihang University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-3418-1180","affiliations":[{"raw_affiliation_string":"School of Electronic Information Engineering, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.7588,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.85236712,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":98},"biblio":{"volume":"33","issue":"9","first_page":"2357","last_page":"2369"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9509000182151794,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T10320","display_name":"Neural Networks and Applications","score":0.9509000182151794,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T11303","display_name":"Bayesian Modeling and Causal Inference","score":0.9487000107765198,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T12002","display_name":"Computability, Logic, AI Algorithms","score":0.9472000002861023,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/arithmetic","display_name":"Arithmetic","score":0.8276410102844238},{"id":"https://openalex.org/keywords/numerical-digit","display_name":"Numerical digit","score":0.8174179792404175},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4706296920776367},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.40082448720932007}],"concepts":[{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.8276410102844238},{"id":"https://openalex.org/C94957134","wikidata":"https://www.wikidata.org/wiki/Q82990","display_name":"Numerical digit","level":2,"score":0.8174179792404175},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4706296920776367},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.40082448720932007}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tvlsi.2025.3532948","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tvlsi.2025.3532948","pdf_url":null,"source":{"id":"https://openalex.org/S37538908","display_name":"IEEE Transactions on Very Large Scale Integration (VLSI) Systems","issn_l":"1063-8210","issn":["1063-8210","1557-9999"],"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 Transactions on Very Large Scale Integration (VLSI) Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G4004667468","display_name":null,"funder_award_id":"U22A6002","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":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":34,"referenced_works":["https://openalex.org/W1822244604","https://openalex.org/W1973623217","https://openalex.org/W2007951014","https://openalex.org/W2049910134","https://openalex.org/W2098470668","https://openalex.org/W2099690171","https://openalex.org/W2131256658","https://openalex.org/W2151770284","https://openalex.org/W2219959730","https://openalex.org/W2289344546","https://openalex.org/W2510743367","https://openalex.org/W2533474659","https://openalex.org/W2614053718","https://openalex.org/W2625226188","https://openalex.org/W2770265919","https://openalex.org/W2962877176","https://openalex.org/W3001688831","https://openalex.org/W3036457205","https://openalex.org/W3043216033","https://openalex.org/W3169576792","https://openalex.org/W3217237164","https://openalex.org/W4289821348","https://openalex.org/W4312313390","https://openalex.org/W4320018421","https://openalex.org/W4321483835","https://openalex.org/W4322706956","https://openalex.org/W4379382446","https://openalex.org/W4384947612","https://openalex.org/W4385650371","https://openalex.org/W4386432120","https://openalex.org/W4386764616","https://openalex.org/W4389065240","https://openalex.org/W4400230207","https://openalex.org/W4402835564"],"related_works":["https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W4391375266","https://openalex.org/W2033860701","https://openalex.org/W1963930613","https://openalex.org/W3138640319","https://openalex.org/W2090853787","https://openalex.org/W4249399111","https://openalex.org/W2131256658","https://openalex.org/W4245042232"],"abstract_inverted_index":{"In":[0],"this":[1],"article,":[2],"a":[3,28,43,52,77,110,116,158,169],"signed-digit":[4,20,44],"hybrid":[5,31],"stochastic":[6,14,32,45,53,148],"number":[7,15,33,70,133],"(SD-HSN),":[8],"which":[9,57,156],"combines":[10],"the":[11,18,37,62,68,82,146],"two-line":[12],"bipolar":[13,29],"(TLB-SN)":[16],"and":[17,25,98,115,127,135,141,161,165],"binary":[19],"(BSD)":[21],"number,":[22],"is":[23,58,90,107],"proposed":[24],"discussed.":[26],"As":[27],"format":[30],"(SN),":[34],"SD-HSN":[35,75,84,93,106,120,153],"extends":[36],"concept":[38],"of":[39,64,105],"conventional":[40,131],"TLB-SN":[41],"to":[42,61,81,145],"stream.":[46],"The":[47,72,86,101,152],"positional-weight-based":[48],"TLB-SNs":[49],"are":[50,163],"still":[51],"stream":[54],"with":[55,67,95],"BSD,":[56],"computed":[59],"according":[60],"arithmetic":[63],"its":[65,122,136],"expectation":[66],"redundant":[69,83],"method.":[71],"multiplication":[73,134],"by":[74,92,109],"shows":[76,121],"high-computational":[78],"performance":[79],"thanks":[80],"circuit.":[85],"efficient":[87],"multiply-accumulate":[88],"(MAC)":[89],"implemented":[91,166],"designs":[94],"low":[96,142],"area":[97],"low-power":[99],"consumption.":[100],"fault":[102],"tolerance":[103],"mechanism":[104],"demonstrated":[108],"JPEG":[111],"image":[112],"compression":[113],"algorithm":[114],"neural":[117],"network.":[118],"Besides,":[119],"advantage":[123],"in":[124],"hardware":[125],"cost":[126],"power":[128],"consumption":[129],"over":[130],"BSD":[132],"high":[137,139],"accuracy,":[138],"efficiency,":[140],"latency":[143],"compared":[144],"classic":[147],"computing":[149],"(SC)":[150],"methods.":[151],"circuits":[154],"proposed,":[155],"include":[157],"generator,":[159],"adder,":[160],"multiplier,":[162],"designed":[164],"based":[167],"on":[168],"standard":[170],"40-nm":[171],"CMOS":[172],"process.":[173]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
