{"id":"https://openalex.org/W2141840609","doi":"https://doi.org/10.1109/vts.2011.5783737","title":"Prediction of compression bound and optimization of compression architecture for linear decompression-based schemes","display_name":"Prediction of compression bound and optimization of compression architecture for linear decompression-based schemes","publication_year":2011,"publication_date":"2011-05-01","ids":{"openalex":"https://openalex.org/W2141840609","doi":"https://doi.org/10.1109/vts.2011.5783737","mag":"2141840609"},"language":"en","primary_location":{"id":"doi:10.1109/vts.2011.5783737","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vts.2011.5783737","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"29th VLSI Test Symposium","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/A5100783533","display_name":"Jia Li","orcid":"https://orcid.org/0000-0003-3443-4651"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jia Li","raw_affiliation_strings":["School of Software, Tsinghua University, Beijing, China","School of Software, Tsinghua University Beijing China"],"affiliations":[{"raw_affiliation_string":"School of Software, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]},{"raw_affiliation_string":"School of Software, Tsinghua University Beijing China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101775144","display_name":"Yu Huang","orcid":"https://orcid.org/0000-0003-2619-4686"},"institutions":[{"id":"https://openalex.org/I105695857","display_name":"Siemens (Hungary)","ror":"https://ror.org/01rk7mv85","country_code":"HU","type":"company","lineage":["https://openalex.org/I105695857","https://openalex.org/I1325886976"]},{"id":"https://openalex.org/I4210156212","display_name":"Mentor Technologies","ror":"https://ror.org/05vewsj04","country_code":"US","type":"other","lineage":["https://openalex.org/I4210156212"]}],"countries":["HU","US"],"is_corresponding":false,"raw_author_name":"Yu Huang","raw_affiliation_strings":["Mentor Graphics Corporation, MA, USA","Mentor Graphics Corporation, 300 Nickerson Rd., Marlboro, MA 01752, USA"],"affiliations":[{"raw_affiliation_string":"Mentor Graphics Corporation, MA, USA","institution_ids":["https://openalex.org/I4210156212"]},{"raw_affiliation_string":"Mentor Graphics Corporation, 300 Nickerson Rd., Marlboro, MA 01752, USA","institution_ids":["https://openalex.org/I105695857"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100748284","display_name":"Dong Xiang","orcid":"https://orcid.org/0000-0003-4788-511X"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dong Xiang","raw_affiliation_strings":["School of Software, Tsinghua University, Beijing, China","School of Software, Tsinghua University Beijing China"],"affiliations":[{"raw_affiliation_string":"School of Software, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]},{"raw_affiliation_string":"School of Software, Tsinghua University Beijing China","institution_ids":["https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100783533"],"corresponding_institution_ids":["https://openalex.org/I99065089"],"apc_list":null,"apc_paid":null,"fwci":0.7556,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.74515606,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"297","last_page":"302"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11032","display_name":"VLSI and Analog Circuit Testing","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1708","display_name":"Hardware and Architecture"},"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/T11032","display_name":"VLSI and Analog Circuit Testing","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1708","display_name":"Hardware and Architecture"},"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/T10363","display_name":"Low-power high-performance VLSI design","score":0.9991000294685364,"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/T14117","display_name":"Integrated Circuits and Semiconductor Failure Analysis","score":0.9991000294685364,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/compression-ratio","display_name":"Compression ratio","score":0.8124459981918335},{"id":"https://openalex.org/keywords/compression","display_name":"Compression (physics)","score":0.7312662601470947},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6831961870193481},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.6491677761077881},{"id":"https://openalex.org/keywords/data-compression-ratio","display_name":"Data compression ratio","score":0.5985583066940308},{"id":"https://openalex.org/keywords/lossless-compression","display_name":"Lossless compression","score":0.592745304107666},{"id":"https://openalex.org/keywords/upper-and-lower-bounds","display_name":"Upper and lower bounds","score":0.4903252422809601},{"id":"https://openalex.org/keywords/image-compression","display_name":"Image compression","score":0.45453742146492004},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.36006593704223633},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.15369004011154175},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12316760420799255},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.10554012656211853},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.10125410556793213}],"concepts":[{"id":"https://openalex.org/C25797200","wikidata":"https://www.wikidata.org/wiki/Q828137","display_name":"Compression ratio","level":3,"score":0.8124459981918335},{"id":"https://openalex.org/C180016635","wikidata":"https://www.wikidata.org/wiki/Q2712821","display_name":"Compression (physics)","level":2,"score":0.7312662601470947},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6831961870193481},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.6491677761077881},{"id":"https://openalex.org/C94835093","wikidata":"https://www.wikidata.org/wiki/Q3113333","display_name":"Data compression ratio","level":5,"score":0.5985583066940308},{"id":"https://openalex.org/C81081738","wikidata":"https://www.wikidata.org/wiki/Q55542","display_name":"Lossless compression","level":3,"score":0.592745304107666},{"id":"https://openalex.org/C77553402","wikidata":"https://www.wikidata.org/wiki/Q13222579","display_name":"Upper and lower bounds","level":2,"score":0.4903252422809601},{"id":"https://openalex.org/C13481523","wikidata":"https://www.wikidata.org/wiki/Q412438","display_name":"Image compression","level":4,"score":0.45453742146492004},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.36006593704223633},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.15369004011154175},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12316760420799255},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.10554012656211853},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.10125410556793213},{"id":"https://openalex.org/C511840579","wikidata":"https://www.wikidata.org/wiki/Q12757","display_name":"Internal combustion engine","level":2,"score":0.0},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C171146098","wikidata":"https://www.wikidata.org/wiki/Q124192","display_name":"Automotive engineering","level":1,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/vts.2011.5783737","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vts.2011.5783737","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"29th VLSI Test Symposium","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W2101900253","https://openalex.org/W2104762071","https://openalex.org/W2111689185","https://openalex.org/W2117154146","https://openalex.org/W2123887421","https://openalex.org/W2134868919","https://openalex.org/W2135627440","https://openalex.org/W2144033909","https://openalex.org/W2147326666","https://openalex.org/W6681008240"],"related_works":["https://openalex.org/W2521595930","https://openalex.org/W4313046148","https://openalex.org/W2161981399","https://openalex.org/W3180760233","https://openalex.org/W2096442341","https://openalex.org/W1680283075","https://openalex.org/W2207317090","https://openalex.org/W624280404","https://openalex.org/W2088378984","https://openalex.org/W3080614128"],"abstract_inverted_index":{"On-chip":[0],"linear":[1],"decompression-based":[2],"schemes":[3],"have":[4],"been":[5],"widely":[6],"adopted":[7],"by":[8,52,121],"industrial":[9],"circuits":[10],"nowadays":[11],"to":[12,48,57,90,104],"effectively":[13],"reduce":[14],"the":[15,78,81,86,106,129,136,139,142,145],"ever":[16],"increasing":[17],"test":[18,22],"data":[19],"volume":[20],"and":[21,85,141],"time.":[23],"Though":[24],"they":[25,63],"can":[26,64],"easily":[27],"achieve":[28],"relatively":[29],"high":[30],"compression":[31,39,43,55,60,68,83,87,93,107,112,146],"ratio,":[32],"there":[33],"is":[34],"a":[35,122],"bound":[36,69,94],"of":[37,138,144],"effective":[38,82,111],"ratio":[40,84,113],"for":[41,109],"these":[42],"schemes.":[44],"Prior":[45],"work":[46],"tried":[47],"address":[49],"this":[50,59,67,72,98],"problem":[51],"trying":[53],"different":[54],"architectures":[56],"identify":[58],"bound.":[61],"However,":[62],"not":[65],"predict":[66,91],"efficiently.":[70,95],"In":[71,96],"paper,":[73],"we":[74],"will":[75,100],"first":[76],"analyze":[77],"correlation":[79],"between":[80],"architecture,":[88],"thus":[89],"that":[92],"addition,":[97],"paper":[99],"also":[101],"propose":[102],"how":[103],"design":[105],"architecture":[108,147],"target":[110],"with":[114],"one-pass":[115],"calculation,":[116],"which":[117],"was":[118],"usually":[119],"done":[120],"time-consuming":[123],"try-and-error":[124],"process":[125],"as":[126],"well":[127],"in":[128],"current":[130],"DFT":[131],"flow.":[132],"Experimental":[133],"results":[134],"show":[135],"accuracy":[137],"prediction":[140],"effectiveness":[143],"design.":[148]},"counts_by_year":[{"year":2018,"cited_by_count":1},{"year":2013,"cited_by_count":2},{"year":2012,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}