{"id":"https://openalex.org/W2756560442","doi":"https://doi.org/10.1109/iscas.2017.8050263","title":"A low-cost approximate 32-point transform architecture","display_name":"A low-cost approximate 32-point transform architecture","publication_year":2017,"publication_date":"2017-05-01","ids":{"openalex":"https://openalex.org/W2756560442","doi":"https://doi.org/10.1109/iscas.2017.8050263","mag":"2756560442"},"language":"en","primary_location":{"id":"doi:10.1109/iscas.2017.8050263","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscas.2017.8050263","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Symposium on Circuits and Systems (ISCAS)","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/A5089205282","display_name":"Heming Sun","orcid":"https://orcid.org/0000-0001-5583-4895"},"institutions":[{"id":"https://openalex.org/I150744194","display_name":"Waseda University","ror":"https://ror.org/00ntfnx83","country_code":"JP","type":"education","lineage":["https://openalex.org/I150744194"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Heming Sun","raw_affiliation_strings":["Production and Systems, Waseda University, Kitakyushu, Japan","Graduate School of Information, Production and Systems. Waseda University, Kitakyushu, Japan"],"affiliations":[{"raw_affiliation_string":"Production and Systems, Waseda University, Kitakyushu, Japan","institution_ids":["https://openalex.org/I150744194"]},{"raw_affiliation_string":"Graduate School of Information, Production and Systems. Waseda University, Kitakyushu, Japan","institution_ids":["https://openalex.org/I150744194"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071945287","display_name":"Zhengxue Cheng","orcid":"https://orcid.org/0000-0001-8258-6364"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]},{"id":"https://openalex.org/I4210153300","display_name":"Shanghai Research Center for Wireless Communications","ror":"https://ror.org/04xfd0826","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210153300"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhengxue Cheng","raw_affiliation_strings":["Institute of Wireless Communication Technology, Shanghai Jiao Tong University, Shanghai, China","[Institute of Wireless Communication Technology, Shanghai Jiao Tong University, Shanghai, China]"],"affiliations":[{"raw_affiliation_string":"Institute of Wireless Communication Technology, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I4210153300","https://openalex.org/I183067930"]},{"raw_affiliation_string":"[Institute of Wireless Communication Technology, Shanghai Jiao Tong University, Shanghai, China]","institution_ids":["https://openalex.org/I4210153300","https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053471252","display_name":"Amir Masoud Gharehbaghi","orcid":"https://orcid.org/0000-0002-0451-221X"},"institutions":[{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Amir Masoud Gharehbaghi","raw_affiliation_strings":["VDEC, University of Tokyo, Tokyo, Japan","[VDEC, University of Tokyo, Tokyo, Japan]"],"affiliations":[{"raw_affiliation_string":"VDEC, University of Tokyo, Tokyo, Japan","institution_ids":["https://openalex.org/I74801974"]},{"raw_affiliation_string":"[VDEC, University of Tokyo, Tokyo, Japan]","institution_ids":["https://openalex.org/I74801974"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101598322","display_name":"Shinji Kimura","orcid":"https://orcid.org/0000-0002-9475-6858"},"institutions":[{"id":"https://openalex.org/I150744194","display_name":"Waseda University","ror":"https://ror.org/00ntfnx83","country_code":"JP","type":"education","lineage":["https://openalex.org/I150744194"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Shinji Kimura","raw_affiliation_strings":["Production and Systems, Waseda University, Kitakyushu, Japan","Graduate School of Information, Production and Systems. Waseda University, Kitakyushu, Japan"],"affiliations":[{"raw_affiliation_string":"Production and Systems, Waseda University, Kitakyushu, Japan","institution_ids":["https://openalex.org/I150744194"]},{"raw_affiliation_string":"Graduate School of Information, Production and Systems. Waseda University, Kitakyushu, Japan","institution_ids":["https://openalex.org/I150744194"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5027837299","display_name":"Masahiro Fujita","orcid":"https://orcid.org/0000-0002-6516-4175"},"institutions":[{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Masahiro Fujita","raw_affiliation_strings":["VDEC, University of Tokyo, Tokyo, Japan","[VDEC, University of Tokyo, Tokyo, Japan]"],"affiliations":[{"raw_affiliation_string":"VDEC, University of Tokyo, Tokyo, Japan","institution_ids":["https://openalex.org/I74801974"]},{"raw_affiliation_string":"[VDEC, University of Tokyo, Tokyo, Japan]","institution_ids":["https://openalex.org/I74801974"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5089205282"],"corresponding_institution_ids":["https://openalex.org/I150744194"],"apc_list":null,"apc_paid":null,"fwci":0.1849,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.46056717,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10741","display_name":"Video Coding and Compression Technologies","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"}},"topics":[{"id":"https://openalex.org/T10741","display_name":"Video Coding and Compression Technologies","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/T11034","display_name":"Digital Filter Design and Implementation","score":0.9991000294685364,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.996399998664856,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/computer-science","display_name":"Computer science","score":0.6592498421669006},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.6320262551307678},{"id":"https://openalex.org/keywords/arithmetic","display_name":"Arithmetic","score":0.5277239084243774},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.47034886479377747},{"id":"https://openalex.org/keywords/algorithmic-efficiency","display_name":"Algorithmic efficiency","score":0.4602002799510956},{"id":"https://openalex.org/keywords/transform-coding","display_name":"Transform coding","score":0.45628082752227783},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.41161638498306274},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2527008652687073},{"id":"https://openalex.org/keywords/discrete-cosine-transform","display_name":"Discrete cosine transform","score":0.22302702069282532},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.19846197962760925},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.14937302470207214},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.09917673468589783}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6592498421669006},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.6320262551307678},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.5277239084243774},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.47034886479377747},{"id":"https://openalex.org/C116709606","wikidata":"https://www.wikidata.org/wiki/Q1296251","display_name":"Algorithmic efficiency","level":3,"score":0.4602002799510956},{"id":"https://openalex.org/C169805256","wikidata":"https://www.wikidata.org/wiki/Q1361381","display_name":"Transform coding","level":4,"score":0.45628082752227783},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.41161638498306274},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2527008652687073},{"id":"https://openalex.org/C2221639","wikidata":"https://www.wikidata.org/wiki/Q2877","display_name":"Discrete cosine transform","level":3,"score":0.22302702069282532},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.19846197962760925},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.14937302470207214},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.09917673468589783},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iscas.2017.8050263","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscas.2017.8050263","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Symposium on Circuits and Systems (ISCAS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","score":0.5299999713897705,"id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1838550990","https://openalex.org/W1981542807","https://openalex.org/W1990357378","https://openalex.org/W1994676015","https://openalex.org/W2039134505","https://openalex.org/W2045960232","https://openalex.org/W2063555319","https://openalex.org/W2089133289","https://openalex.org/W2101700394","https://openalex.org/W2105815873","https://openalex.org/W2417484615","https://openalex.org/W2979673094","https://openalex.org/W3106066905","https://openalex.org/W6666407705","https://openalex.org/W6675207249"],"related_works":["https://openalex.org/W3009161491","https://openalex.org/W2018760684","https://openalex.org/W2380956331","https://openalex.org/W2116936728","https://openalex.org/W2806397197","https://openalex.org/W2986238322","https://openalex.org/W1992296783","https://openalex.org/W2460818705","https://openalex.org/W2033101247","https://openalex.org/W1579233721"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"an":[3],"area-efficient":[4],"approximate":[5],"method":[6,54],"for":[7,55],"32-point":[8,83],"transform":[9,36],"which":[10],"is":[11,106],"one":[12],"of":[13,35,44,76,81],"the":[14,32,41,60,67,74,79,86,98,104,111],"most":[15,68],"area-consuming":[16],"parts":[17],"in":[18],"High":[19],"Efficiency":[20],"Video":[21],"Coding":[22],"(HEVC)":[23],"applications.":[24],"Compared":[25],"to":[26,73],"prior":[27],"literatures,":[28],"this":[29],"work":[30],"reduces":[31],"hardware":[33],"cost":[34],"by":[37,103],"1)":[38],"eliminating":[39],"all":[40],"arithmetic":[42],"operations":[43],"6":[45],"least":[46],"significant":[47,69],"bits":[48,70],"(LSB),":[49],"2)":[50],"presenting":[51],"a":[52,82],"low-delay":[53],"generating":[56],"carry":[57],"propagation":[58],"from":[59],"remaining":[61],"5":[62],"LSBs":[63],"and":[64,97],"3)":[65],"truncating":[66],"(MSB)":[71],"according":[72],"position":[75],"component.":[77],"In":[78],"implementation":[80],"forward":[84],"transform,":[85],"experimental":[87],"results":[88],"show":[89],"that":[90],"27%":[91],"area":[92],"consumption":[93],"can":[94],"be":[95],"saved":[96],"coding":[99],"efficiency":[100],"loss":[101],"aroused":[102],"approximation":[105],"only":[107],"0.044%":[108],"compared":[109],"with":[110],"origin.":[112]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
