{"id":"https://openalex.org/W4391383069","doi":"https://doi.org/10.1109/camsap58249.2023.10403453","title":"Redistribution Networks for Resampling","display_name":"Redistribution Networks for Resampling","publication_year":2023,"publication_date":"2023-12-10","ids":{"openalex":"https://openalex.org/W4391383069","doi":"https://doi.org/10.1109/camsap58249.2023.10403453"},"language":"en","primary_location":{"id":"doi:10.1109/camsap58249.2023.10403453","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/camsap58249.2023.10403453","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE 9th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP)","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/A5036326134","display_name":"Michael Lunglmayr","orcid":"https://orcid.org/0000-0002-4014-9681"},"institutions":[{"id":"https://openalex.org/I121883995","display_name":"Johannes Kepler University of Linz","ror":"https://ror.org/052r2xn60","country_code":"AT","type":"education","lineage":["https://openalex.org/I121883995"]}],"countries":["AT"],"is_corresponding":false,"raw_author_name":"Michael Lunglmayr","raw_affiliation_strings":["Institute of Signal Processing, Johannes Kepler University,Linz,Austria","Institute of Signal Processing, Johannes Kepler University, Linz, Austria"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Signal Processing, Johannes Kepler University,Linz,Austria","institution_ids":["https://openalex.org/I121883995"]},{"raw_affiliation_string":"Institute of Signal Processing, Johannes Kepler University, Linz, Austria","institution_ids":["https://openalex.org/I121883995"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5085691944","display_name":"V\u0301\u0131ctor Elvira","orcid":"https://orcid.org/0000-0002-8967-4866"},"institutions":[{"id":"https://openalex.org/I98677209","display_name":"University of Edinburgh","ror":"https://ror.org/01nrxwf90","country_code":"GB","type":"education","lineage":["https://openalex.org/I98677209"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"V\u00edctor Elvira","raw_affiliation_strings":["School of Mathematics, University of Edinburgh,United Kingdom","School of Mathematics, University of Edinburgh, United Kingdom"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mathematics, University of Edinburgh,United Kingdom","institution_ids":["https://openalex.org/I98677209"]},{"raw_affiliation_string":"School of Mathematics, University of Edinburgh, United Kingdom","institution_ids":["https://openalex.org/I98677209"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.26045442,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"12","issue":null,"first_page":"66","last_page":"70"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11321","display_name":"Error Correcting Code Techniques","score":0.9991999864578247,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T11321","display_name":"Error Correcting Code Techniques","score":0.9991999864578247,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T12611","display_name":"Neural Networks and Reservoir Computing","score":0.9983999729156494,"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/T10502","display_name":"Advanced Memory and Neural Computing","score":0.9980999827384949,"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/resampling","display_name":"Resampling","score":0.7996358871459961},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7419342994689941},{"id":"https://openalex.org/keywords/signal-processing","display_name":"Signal processing","score":0.5409385561943054},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.46420130133628845},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.4383930563926697},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.39325690269470215},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3885751962661743},{"id":"https://openalex.org/keywords/computer-engineering","display_name":"Computer engineering","score":0.3321525752544403},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.3219248950481415},{"id":"https://openalex.org/keywords/digital-signal-processing","display_name":"Digital signal processing","score":0.22856318950653076},{"id":"https://openalex.org/keywords/computer-hardware","display_name":"Computer hardware","score":0.18991753458976746},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.18447938561439514},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1172131597995758}],"concepts":[{"id":"https://openalex.org/C150921843","wikidata":"https://www.wikidata.org/wiki/Q1170431","display_name":"Resampling","level":2,"score":0.7996358871459961},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7419342994689941},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.5409385561943054},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.46420130133628845},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.4383930563926697},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.39325690269470215},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3885751962661743},{"id":"https://openalex.org/C113775141","wikidata":"https://www.wikidata.org/wiki/Q428691","display_name":"Computer engineering","level":1,"score":0.3321525752544403},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.3219248950481415},{"id":"https://openalex.org/C84462506","wikidata":"https://www.wikidata.org/wiki/Q173142","display_name":"Digital signal processing","level":2,"score":0.22856318950653076},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.18991753458976746},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.18447938561439514},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1172131597995758},{"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/camsap58249.2023.10403453","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/camsap58249.2023.10403453","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE 9th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4699999988079071,"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure"}],"awards":[{"id":"https://openalex.org/G8687132392","display_name":"Adaptive importance sampling methods for Bayesian inference in complex systems","funder_award_id":"ANR-17-CE40-0031","funder_id":"https://openalex.org/F4320320883","funder_display_name":"Agence Nationale de la Recherche"}],"funders":[{"id":"https://openalex.org/F4320320883","display_name":"Agence Nationale de la Recherche","ror":"https://ror.org/00rbzpz17"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W1483736078","https://openalex.org/W1979969656","https://openalex.org/W2040196349","https://openalex.org/W2130363011","https://openalex.org/W2203714058","https://openalex.org/W2272328839","https://openalex.org/W2279857902","https://openalex.org/W2735102987","https://openalex.org/W2752885492","https://openalex.org/W2783434887","https://openalex.org/W2802252679","https://openalex.org/W3123421154","https://openalex.org/W3126059130","https://openalex.org/W3215540479","https://openalex.org/W4206045574","https://openalex.org/W4211119117","https://openalex.org/W4226365931","https://openalex.org/W4255133955","https://openalex.org/W6676780147"],"related_works":["https://openalex.org/W2052515325","https://openalex.org/W2050948537","https://openalex.org/W2767646790","https://openalex.org/W2352041579","https://openalex.org/W1488006380","https://openalex.org/W2138381686","https://openalex.org/W2141585124","https://openalex.org/W1998176685","https://openalex.org/W3123883311","https://openalex.org/W2032175896"],"abstract_inverted_index":{"Resampling":[0],"is":[1],"an":[2],"important":[3],"building":[4],"block":[5],"in":[6,29],"core":[7],"signal":[8],"processing":[9,35,52,74,82,115],"methods":[10],"such":[11,48],"as":[12],"particle":[13],"filters":[14],"or":[15],"genetic":[16],"algorithms.":[17],"This":[18],"work":[19],"describes":[20],"how":[21,45],"to":[22,46,66,98],"accelerate":[23],"the":[24,60,63,68,94,99,109],"redistribution":[25],"part":[26],"of":[27,38,53,62,70],"resampling,":[28],"a":[30,34],"parallelized":[31],"form":[32],"utilizing":[33],"network":[36],"composed":[37],"low-complexity":[39],"nodes":[40],"with$O(log_{2}^{2}(n))$layers.":[41],"We":[42,87],"furthermore":[43],"show":[44],"use":[47],"networks":[49],"for":[50],"block-based":[51,73],"input":[54,61],"vectors":[55],"that":[56,106,120],"are":[57],"larger":[58],"than":[59],"network,":[64],"allowing":[65],"tradeoff":[67],"best":[69],"both":[71],"worlds:":[72],"with":[75,83],"its":[76,84],"low":[77],"area":[78],"requirements":[79],"and":[80],"network-based":[81],"high":[85],"speed.":[86],"present":[88],"simulation":[89],"results":[90],"not":[91],"only":[92],"showing":[93,105],"performance":[95],"gains":[96],"compared":[97],"trivial":[100],"linear":[101],"method":[102],"but":[103],"also":[104],"by":[107],"using":[108],"proposed":[110],"architecture":[111],"one":[112],"can":[113],"achieve":[114],"times":[116],"on":[117],"edge":[118],"devices":[119],"recently":[121],"required":[122],"high-performance":[123],"server":[124],"clusters.":[125]},"counts_by_year":[],"updated_date":"2026-08-06T08:24:18.245995","created_date":"2025-10-10T00:00:00"}
