{"id":"https://openalex.org/W2565037589","doi":"https://doi.org/10.1109/eusipco.2016.7760544","title":"High throughput architecture for inpainting-based recovery of correlated neural signals","display_name":"High throughput architecture for inpainting-based recovery of correlated neural signals","publication_year":2016,"publication_date":"2016-08-01","ids":{"openalex":"https://openalex.org/W2565037589","doi":"https://doi.org/10.1109/eusipco.2016.7760544","mag":"2565037589"},"language":"en","primary_location":{"id":"doi:10.1109/eusipco.2016.7760544","is_oa":false,"landing_page_url":"https://doi.org/10.1109/eusipco.2016.7760544","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 24th European Signal Processing Conference (EUSIPCO)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5083433486","display_name":"Sebastian Schmale","orcid":null},"institutions":[{"id":"https://openalex.org/I180437899","display_name":"University of Bremen","ror":"https://ror.org/04ers2y35","country_code":"DE","type":"education","lineage":["https://openalex.org/I180437899"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Sebastian Schmale","raw_affiliation_strings":["Institute of Electrodynamics and Microelectronics (ITEM.me), University of Bremen, Bremen, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Electrodynamics and Microelectronics (ITEM.me), University of Bremen, Bremen, Germany","institution_ids":["https://openalex.org/I180437899"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036550765","display_name":"Jochen Rust","orcid":"https://orcid.org/0000-0002-1345-076X"},"institutions":[{"id":"https://openalex.org/I180437899","display_name":"University of Bremen","ror":"https://ror.org/04ers2y35","country_code":"DE","type":"education","lineage":["https://openalex.org/I180437899"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Jochen Rust","raw_affiliation_strings":["Institute of Electrodynamics and Microelectronics (ITEM.me), University of Bremen, Bremen, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Electrodynamics and Microelectronics (ITEM.me), University of Bremen, Bremen, Germany","institution_ids":["https://openalex.org/I180437899"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005761151","display_name":"Nils H\u00fclsmeier","orcid":"https://orcid.org/0000-0001-9590-4579"},"institutions":[{"id":"https://openalex.org/I180437899","display_name":"University of Bremen","ror":"https://ror.org/04ers2y35","country_code":"DE","type":"education","lineage":["https://openalex.org/I180437899"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Nils Hulsmeier","raw_affiliation_strings":["Institute of Electrodynamics and Microelectronics (ITEM.me), University of Bremen, Bremen, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Electrodynamics and Microelectronics (ITEM.me), University of Bremen, Bremen, Germany","institution_ids":["https://openalex.org/I180437899"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058547750","display_name":"Heiner Lange","orcid":null},"institutions":[{"id":"https://openalex.org/I180437899","display_name":"University of Bremen","ror":"https://ror.org/04ers2y35","country_code":"DE","type":"education","lineage":["https://openalex.org/I180437899"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Heiner Lange","raw_affiliation_strings":["Institute of Electrodynamics and Microelectronics (ITEM.me), University of Bremen, Bremen, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Electrodynamics and Microelectronics (ITEM.me), University of Bremen, Bremen, Germany","institution_ids":["https://openalex.org/I180437899"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033400320","display_name":"Benjamin Knoop","orcid":"https://orcid.org/0000-0003-1309-5718"},"institutions":[{"id":"https://openalex.org/I180437899","display_name":"University of Bremen","ror":"https://ror.org/04ers2y35","country_code":"DE","type":"education","lineage":["https://openalex.org/I180437899"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Benjamin Knoop","raw_affiliation_strings":["Institute of Electrodynamics and Microelectronics (ITEM.me), University of Bremen, Bremen, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Electrodynamics and Microelectronics (ITEM.me), University of Bremen, Bremen, Germany","institution_ids":["https://openalex.org/I180437899"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101959993","display_name":"Steffen Paul","orcid":"https://orcid.org/0000-0003-3392-0471"},"institutions":[{"id":"https://openalex.org/I180437899","display_name":"University of Bremen","ror":"https://ror.org/04ers2y35","country_code":"DE","type":"education","lineage":["https://openalex.org/I180437899"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Steffen Paul","raw_affiliation_strings":["Institute of Electrodynamics and Microelectronics (ITEM.me), University of Bremen, Bremen, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Electrodynamics and Microelectronics (ITEM.me), University of Bremen, Bremen, Germany","institution_ids":["https://openalex.org/I180437899"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I180437899"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1728","last_page":"1732"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10323","display_name":"Analog and Mixed-Signal Circuit Design","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical 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/T10323","display_name":"Analog and Mixed-Signal Circuit Design","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical 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/T10320","display_name":"Neural Networks and Applications","score":0.9986000061035156,"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/T11034","display_name":"Digital Filter Design and Implementation","score":0.9980000257492065,"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/inpainting","display_name":"Inpainting","score":0.7691435813903809},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7296655774116516},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6640843152999878},{"id":"https://openalex.org/keywords/throughput","display_name":"Throughput","score":0.636335015296936},{"id":"https://openalex.org/keywords/realization","display_name":"Realization (probability)","score":0.6136465668678284},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.597475528717041},{"id":"https://openalex.org/keywords/field-programmable-gate-array","display_name":"Field-programmable gate array","score":0.5959812998771667},{"id":"https://openalex.org/keywords/quantization","display_name":"Quantization (signal processing)","score":0.5943107604980469},{"id":"https://openalex.org/keywords/computer-hardware","display_name":"Computer hardware","score":0.5042012929916382},{"id":"https://openalex.org/keywords/logarithm","display_name":"Logarithm","score":0.43936535716056824},{"id":"https://openalex.org/keywords/computer-engineering","display_name":"Computer engineering","score":0.42021989822387695},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.420209676027298},{"id":"https://openalex.org/keywords/thresholding","display_name":"Thresholding","score":0.41670602560043335},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3746316134929657},{"id":"https://openalex.org/keywords/computational-science","display_name":"Computational science","score":0.34611576795578003},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.34158849716186523},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.16517794132232666}],"concepts":[{"id":"https://openalex.org/C11727466","wikidata":"https://www.wikidata.org/wiki/Q1628157","display_name":"Inpainting","level":3,"score":0.7691435813903809},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7296655774116516},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6640843152999878},{"id":"https://openalex.org/C157764524","wikidata":"https://www.wikidata.org/wiki/Q1383412","display_name":"Throughput","level":3,"score":0.636335015296936},{"id":"https://openalex.org/C2781089630","wikidata":"https://www.wikidata.org/wiki/Q21856745","display_name":"Realization (probability)","level":2,"score":0.6136465668678284},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.597475528717041},{"id":"https://openalex.org/C42935608","wikidata":"https://www.wikidata.org/wiki/Q190411","display_name":"Field-programmable gate array","level":2,"score":0.5959812998771667},{"id":"https://openalex.org/C28855332","wikidata":"https://www.wikidata.org/wiki/Q198099","display_name":"Quantization (signal processing)","level":2,"score":0.5943107604980469},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.5042012929916382},{"id":"https://openalex.org/C39927690","wikidata":"https://www.wikidata.org/wiki/Q11197","display_name":"Logarithm","level":2,"score":0.43936535716056824},{"id":"https://openalex.org/C113775141","wikidata":"https://www.wikidata.org/wiki/Q428691","display_name":"Computer engineering","level":1,"score":0.42021989822387695},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.420209676027298},{"id":"https://openalex.org/C191178318","wikidata":"https://www.wikidata.org/wiki/Q2256906","display_name":"Thresholding","level":3,"score":0.41670602560043335},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3746316134929657},{"id":"https://openalex.org/C459310","wikidata":"https://www.wikidata.org/wiki/Q117801","display_name":"Computational science","level":1,"score":0.34611576795578003},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.34158849716186523},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.16517794132232666},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","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/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"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/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/eusipco.2016.7760544","is_oa":false,"landing_page_url":"https://doi.org/10.1109/eusipco.2016.7760544","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 24th European Signal Processing Conference (EUSIPCO)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7","score":0.9200000166893005}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W1551882400","https://openalex.org/W1986396242","https://openalex.org/W2034622987","https://openalex.org/W2040903332","https://openalex.org/W2111013824","https://openalex.org/W2117504492","https://openalex.org/W2126462474","https://openalex.org/W2143183078","https://openalex.org/W2145096794","https://openalex.org/W2148036862","https://openalex.org/W2150134853","https://openalex.org/W2179627363","https://openalex.org/W2189236108","https://openalex.org/W2295936755","https://openalex.org/W2395226168","https://openalex.org/W2403808823","https://openalex.org/W4242009506","https://openalex.org/W4244448046","https://openalex.org/W6712073147"],"related_works":["https://openalex.org/W2380775572","https://openalex.org/W2213520135","https://openalex.org/W4242046654","https://openalex.org/W3174923100","https://openalex.org/W3134074939","https://openalex.org/W3183118997","https://openalex.org/W3214410901","https://openalex.org/W3204400881","https://openalex.org/W3204296682","https://openalex.org/W2917767146"],"abstract_inverted_index":{"This":[0,17,117],"paper":[1],"presents":[2],"the":[3,24,54,70,85,92,97,111,124],"first":[4],"hardware":[5,107],"architecture":[6],"for":[7,23],"compressing":[8],"and":[9,42,78],"reconstructing":[10],"correlated":[11],"neural":[12,28,59,135],"signals":[13],"using":[14,84],"structure-based":[15],"inpainting.":[16],"novel":[18],"methodology":[19],"is":[20,81],"especially":[21],"important":[22],"realization":[25,108],"of":[26,40,53,75,91,96,114,134,143],"implantable":[27],"measurement":[29],"systems":[30],"(NMS),":[31],"which":[32,138],"are":[33],"subject":[34],"to":[35,57],"strict":[36],"constraints":[37],"in":[38,121,129,132,140],"terms":[39,133],"area":[41],"energy":[43],"consumption.":[44],"Such":[45],"an":[46,63,100],"implant":[47],"only":[48],"requires":[49],"a":[50,130,141],"defined":[51],"controlling":[52],"electrode":[55],"activity":[56],"compress":[58],"data.":[60],"To":[61],"achieve":[62],"efficient":[64],"implementation":[65],"with":[66,123],"high":[67],"throughput":[68,142],"at":[69],"data":[71],"recovery,":[72,137],"approximately":[73],"computation":[74],"arithmetic":[76],"operations":[77],"elementary":[79],"functions":[80],"proposed":[82,106],"by":[83],"logarithmic":[86],"number":[87],"system":[88],"(LNS).":[89],"Because":[90],"digital":[93],"quantization":[94],"effects":[95],"LNS":[98],"conversions,":[99],"inherent":[101,118],"thresholding":[102],"operation":[103],"arises.":[104],"The":[105],"significantly":[109],"reduces":[110],"required":[112],"iteration":[113],"inpainting":[115],"computations.":[116],"zero":[119],"forcing":[120],"conjunction":[122],"algorithmic":[125],"error":[126],"correction":[127],"results":[128,139],"speed-up":[131],"signal":[136],"32":[144],"961":[145],"parallel":[146],"reconstructions":[147],"per":[148],"second.":[149]},"counts_by_year":[{"year":2017,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
