{"id":"https://openalex.org/W2024214021","doi":"https://doi.org/10.1109/vlsi-soc.2013.6673287","title":"Fine grain word length optimization for dynamic precision scaling in DSP systems","display_name":"Fine grain word length optimization for dynamic precision scaling in DSP systems","publication_year":2013,"publication_date":"2013-10-01","ids":{"openalex":"https://openalex.org/W2024214021","doi":"https://doi.org/10.1109/vlsi-soc.2013.6673287","mag":"2024214021"},"language":"en","primary_location":{"id":"doi:10.1109/vlsi-soc.2013.6673287","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vlsi-soc.2013.6673287","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IFIP/IEEE 21st International Conference on Very Large Scale Integration (VLSI-SoC)","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/A5064201594","display_name":"Seogoo Lee","orcid":"https://orcid.org/0000-0001-7307-3794"},"institutions":[{"id":"https://openalex.org/I86519309","display_name":"The University of Texas at Austin","ror":"https://ror.org/00hj54h04","country_code":"US","type":"education","lineage":["https://openalex.org/I86519309"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Seogoo Lee","raw_affiliation_strings":["Department of Electrical and Computer Engineering, The University of Texas at Austin","Dept. of Electr. &, Comput. Eng., Univ. of Texas at Austin, Austin, TX, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, The University of Texas at Austin","institution_ids":["https://openalex.org/I86519309"]},{"raw_affiliation_string":"Dept. of Electr. &, Comput. Eng., Univ. of Texas at Austin, Austin, TX, USA","institution_ids":["https://openalex.org/I86519309"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5046024226","display_name":"Andreas Gerstlauer","orcid":"https://orcid.org/0000-0002-6748-2054"},"institutions":[{"id":"https://openalex.org/I86519309","display_name":"The University of Texas at Austin","ror":"https://ror.org/00hj54h04","country_code":"US","type":"education","lineage":["https://openalex.org/I86519309"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Andreas Gerstlauer","raw_affiliation_strings":["Department of Electrical and Computer Engineering, The University of Texas at Austin","Dept. of Electr. &, Comput. Eng., Univ. of Texas at Austin, Austin, TX, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, The University of Texas at Austin","institution_ids":["https://openalex.org/I86519309"]},{"raw_affiliation_string":"Dept. of Electr. &, Comput. Eng., Univ. of Texas at Austin, Austin, TX, USA","institution_ids":["https://openalex.org/I86519309"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5064201594"],"corresponding_institution_ids":["https://openalex.org/I86519309"],"apc_list":null,"apc_paid":null,"fwci":2.1591,"has_fulltext":false,"cited_by_count":25,"citation_normalized_percentile":{"value":0.88392482,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"2006","issue":null,"first_page":"266","last_page":"271"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10125","display_name":"Advanced Wireless Communication Techniques","score":0.9995999932289124,"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"}},"topics":[{"id":"https://openalex.org/T10125","display_name":"Advanced Wireless Communication Techniques","score":0.9995999932289124,"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/T10901","display_name":"Advanced Data Compression Techniques","score":0.9995999932289124,"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"}},{"id":"https://openalex.org/T11034","display_name":"Digital Filter Design and Implementation","score":0.9991999864578247,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7251129150390625},{"id":"https://openalex.org/keywords/additive-white-gaussian-noise","display_name":"Additive white Gaussian noise","score":0.6096943616867065},{"id":"https://openalex.org/keywords/orthogonal-frequency-division-multiplexing","display_name":"Orthogonal frequency-division multiplexing","score":0.553839921951294},{"id":"https://openalex.org/keywords/fast-fourier-transform","display_name":"Fast Fourier transform","score":0.5340242385864258},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5253642797470093},{"id":"https://openalex.org/keywords/heuristics","display_name":"Heuristics","score":0.4992551803588867},{"id":"https://openalex.org/keywords/digital-signal-processing","display_name":"Digital signal processing","score":0.49665123224258423},{"id":"https://openalex.org/keywords/quantization","display_name":"Quantization (signal processing)","score":0.4812202751636505},{"id":"https://openalex.org/keywords/power-optimization","display_name":"Power optimization","score":0.44013625383377075},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.43106886744499207},{"id":"https://openalex.org/keywords/gaussian-noise","display_name":"Gaussian noise","score":0.4246170222759247},{"id":"https://openalex.org/keywords/optimization-problem","display_name":"Optimization problem","score":0.4124400317668915},{"id":"https://openalex.org/keywords/stochastic-optimization","display_name":"Stochastic optimization","score":0.410225510597229},{"id":"https://openalex.org/keywords/electronic-engineering","display_name":"Electronic engineering","score":0.40898287296295166},{"id":"https://openalex.org/keywords/white-noise","display_name":"White noise","score":0.38874945044517517},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.38149023056030273},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.3637502193450928},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.2290242612361908},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.2010466456413269},{"id":"https://openalex.org/keywords/computer-hardware","display_name":"Computer hardware","score":0.1751217544078827},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.1396028995513916},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.12298142910003662},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11685273051261902}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7251129150390625},{"id":"https://openalex.org/C169334058","wikidata":"https://www.wikidata.org/wiki/Q353292","display_name":"Additive white Gaussian noise","level":3,"score":0.6096943616867065},{"id":"https://openalex.org/C40409654","wikidata":"https://www.wikidata.org/wiki/Q375889","display_name":"Orthogonal frequency-division multiplexing","level":3,"score":0.553839921951294},{"id":"https://openalex.org/C75172450","wikidata":"https://www.wikidata.org/wiki/Q623950","display_name":"Fast Fourier transform","level":2,"score":0.5340242385864258},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5253642797470093},{"id":"https://openalex.org/C127705205","wikidata":"https://www.wikidata.org/wiki/Q5748245","display_name":"Heuristics","level":2,"score":0.4992551803588867},{"id":"https://openalex.org/C84462506","wikidata":"https://www.wikidata.org/wiki/Q173142","display_name":"Digital signal processing","level":2,"score":0.49665123224258423},{"id":"https://openalex.org/C28855332","wikidata":"https://www.wikidata.org/wiki/Q198099","display_name":"Quantization (signal processing)","level":2,"score":0.4812202751636505},{"id":"https://openalex.org/C168292644","wikidata":"https://www.wikidata.org/wiki/Q10860336","display_name":"Power optimization","level":4,"score":0.44013625383377075},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.43106886744499207},{"id":"https://openalex.org/C4199805","wikidata":"https://www.wikidata.org/wiki/Q2725903","display_name":"Gaussian noise","level":2,"score":0.4246170222759247},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.4124400317668915},{"id":"https://openalex.org/C194387892","wikidata":"https://www.wikidata.org/wiki/Q1747770","display_name":"Stochastic optimization","level":2,"score":0.410225510597229},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.40898287296295166},{"id":"https://openalex.org/C112633086","wikidata":"https://www.wikidata.org/wiki/Q381287","display_name":"White noise","level":2,"score":0.38874945044517517},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.38149023056030273},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3637502193450928},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.2290242612361908},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.2010466456413269},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.1751217544078827},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.1396028995513916},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.12298142910003662},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11685273051261902},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C2984118289","wikidata":"https://www.wikidata.org/wiki/Q29954","display_name":"Power consumption","level":3,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/vlsi-soc.2013.6673287","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vlsi-soc.2013.6673287","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IFIP/IEEE 21st International Conference on Very Large Scale Integration (VLSI-SoC)","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.456.2816","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.456.2816","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://users.ece.utexas.edu/~gerstl/publications/vlsisoc13.DPS.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","score":0.9100000262260437,"id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320310620","display_name":"University of Texas at Austin","ror":"https://ror.org/00hj54h04"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W2067167521","https://openalex.org/W2081906365","https://openalex.org/W2096059450","https://openalex.org/W2109573698","https://openalex.org/W2134545850","https://openalex.org/W2140604924","https://openalex.org/W2153316377","https://openalex.org/W2166963872","https://openalex.org/W2604817683","https://openalex.org/W2979011527","https://openalex.org/W4241477594","https://openalex.org/W4244117526","https://openalex.org/W6670698006","https://openalex.org/W6674623131"],"related_works":["https://openalex.org/W1974392290","https://openalex.org/W1911817635","https://openalex.org/W2074565401","https://openalex.org/W2810224748","https://openalex.org/W2353656796","https://openalex.org/W2011915004","https://openalex.org/W2130974430","https://openalex.org/W3103566292","https://openalex.org/W1607924090","https://openalex.org/W1967187784"],"abstract_inverted_index":{"Dynamic":[0],"precision":[1],"scaling":[2],"is":[3,50],"a":[4,27,93,96,125,139],"promising":[5],"technique":[6],"to":[7,26,82,121,148],"reduce":[8],"power":[9],"consumption":[10],"in":[11,92,131,144],"Digital":[12],"Signal":[13],"Processing":[14],"(DSP)":[15],"systems.":[16],"Power":[17],"savings":[18],"are":[19,32],"achieved":[20],"by":[21],"dynamically":[22],"adapting":[23],"word":[24,57,87,152],"lengths":[25,58,88],"time-varying":[28],"environment.":[29,119],"Typical":[30],"applications":[31],"wireless":[33,40],"communication":[34],"systems":[35],"that":[36,51],"operate":[37],"under":[38,95],"different":[39],"channel":[41,118],"conditions.":[42,100],"One":[43],"of":[44,47,56,86,98,105,116,124],"the":[45,117],"obstacles":[46],"such":[48],"techniques":[49],"they":[52],"require":[53],"an":[54,122,132,149],"optimization":[55,73,145,154],"for":[59,89],"all":[60,64,90],"intermediate":[61],"values":[62],"at":[63],"possible":[65],"operation":[66],"points.":[67],"This":[68],"makes":[69],"traditional":[70],"simulation-based":[71,151],"fixed-point":[72],"infeasible.":[74],"In":[75],"this":[76],"paper,":[77],"we":[78],"study":[79],"efficient":[80,150],"heuristics":[81],"find":[83],"optimal":[84],"sets":[85],"variables":[91],"system":[94],"range":[97],"operating":[99],"We":[101],"exploit":[102],"statistical":[103],"analysis":[104],"quantization":[106],"noise":[107],"coupled":[108],"with":[109],"Additive":[110],"White":[111],"Gaussian":[112],"Noise":[113],"(AWGN)":[114],"models":[115],"Applied":[120],"example":[123],"Fast":[126],"Fourier":[127],"Transform":[128],"(FFT)":[129],"block":[130],"Orthogonal":[133],"Frequency":[134],"Division":[135],"Multiplexing":[136],"(OFDM)":[137],"system,":[138],"more":[140],"than":[141],"5,000x":[142],"improvement":[143],"time":[146],"compared":[147],"length":[153],"method":[155],"can":[156],"be":[157],"achieved.":[158]},"counts_by_year":[{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":6},{"year":2017,"cited_by_count":1},{"year":2015,"cited_by_count":7},{"year":2014,"cited_by_count":2}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}
