{"id":"https://openalex.org/W4411727054","doi":"https://doi.org/10.1109/iscas56072.2025.11043805","title":"A Hardware Architecture for Efficient Adaptive Threshold-Based Sampling using Weyl\u2019s Discrepancy","display_name":"A Hardware Architecture for Efficient Adaptive Threshold-Based Sampling using Weyl\u2019s Discrepancy","publication_year":2025,"publication_date":"2025-05-25","ids":{"openalex":"https://openalex.org/W4411727054","doi":"https://doi.org/10.1109/iscas56072.2025.11043805"},"language":"en","primary_location":{"id":"doi:10.1109/iscas56072.2025.11043805","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscas56072.2025.11043805","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Symposium on Circuits and Systems (ISCAS)","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/A5115999345","display_name":"Anna Werzi","orcid":null},"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":"Anna Werzi","raw_affiliation_strings":["Johannes Kepler University,Institute of Signal Processing,Linz,Austria"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Johannes Kepler University,Institute of Signal Processing,Linz,Austria","institution_ids":["https://openalex.org/I121883995"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5092527668","display_name":"Simon Dorrer","orcid":null},"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":"Simon Dorrer","raw_affiliation_strings":["Johannes Kepler University,Institute of Signal Processing,Linz,Austria"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Johannes Kepler University,Institute of Signal Processing,Linz,Austria","institution_ids":["https://openalex.org/I121883995"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102709587","display_name":"Bernhard A. Moser","orcid":"https://orcid.org/0000-0003-1859-046X"},"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":"Bernhard A. Moser","raw_affiliation_strings":["Johannes Kepler University,Institute of Signal Processing,Linz,Austria"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Johannes Kepler University,Institute of Signal Processing,Linz,Austria","institution_ids":["https://openalex.org/I121883995"]}]},{"author_position":"last","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":["Johannes Kepler University,Institute of Signal Processing,Linz,Austria"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Johannes Kepler University,Institute of Signal Processing,Linz,Austria","institution_ids":["https://openalex.org/I121883995"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I121883995"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.2052927,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9585000276565552,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9585000276565552,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9384999871253967,"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/T11447","display_name":"Blind Source Separation Techniques","score":0.9372000098228455,"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":0.7019802927970886},{"id":"https://openalex.org/keywords/architecture","display_name":"Architecture","score":0.6726164817810059},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.529356062412262},{"id":"https://openalex.org/keywords/computer-architecture","display_name":"Computer architecture","score":0.4613404870033264},{"id":"https://openalex.org/keywords/adaptive-sampling","display_name":"Adaptive sampling","score":0.42503297328948975},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3855702877044678},{"id":"https://openalex.org/keywords/computer-hardware","display_name":"Computer hardware","score":0.32458990812301636},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3229139447212219},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.18567678332328796},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.10193872451782227},{"id":"https://openalex.org/keywords/art","display_name":"Art","score":0.07533633708953857}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7019802927970886},{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.6726164817810059},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.529356062412262},{"id":"https://openalex.org/C118524514","wikidata":"https://www.wikidata.org/wiki/Q173212","display_name":"Computer architecture","level":1,"score":0.4613404870033264},{"id":"https://openalex.org/C2781395549","wikidata":"https://www.wikidata.org/wiki/Q4680762","display_name":"Adaptive sampling","level":3,"score":0.42503297328948975},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3855702877044678},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.32458990812301636},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3229139447212219},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.18567678332328796},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.10193872451782227},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.07533633708953857},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.0},{"id":"https://openalex.org/C153349607","wikidata":"https://www.wikidata.org/wiki/Q36649","display_name":"Visual arts","level":1,"score":0.0},{"id":"https://openalex.org/C19499675","wikidata":"https://www.wikidata.org/wiki/Q232207","display_name":"Monte Carlo method","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iscas56072.2025.11043805","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscas56072.2025.11043805","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Symposium on Circuits and Systems (ISCAS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.41999998688697815,"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320334322","display_name":"HORIZON EUROPE Framework Programme","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W1964434678","https://openalex.org/W2000025297","https://openalex.org/W2046480837","https://openalex.org/W2100835485","https://openalex.org/W2131675349","https://openalex.org/W2139543448","https://openalex.org/W2153562782","https://openalex.org/W2157214632","https://openalex.org/W2409918256","https://openalex.org/W2623448196","https://openalex.org/W2734612732","https://openalex.org/W2898682794","https://openalex.org/W2953557980","https://openalex.org/W2974811164","https://openalex.org/W2987000667","https://openalex.org/W3108852364","https://openalex.org/W3199254806","https://openalex.org/W4200594354","https://openalex.org/W4285201316","https://openalex.org/W4385245130","https://openalex.org/W4385689042","https://openalex.org/W4392904786","https://openalex.org/W4400721574"],"related_works":["https://openalex.org/W2038693912","https://openalex.org/W1991602789","https://openalex.org/W1582396021","https://openalex.org/W1988359706","https://openalex.org/W312558119","https://openalex.org/W4210985407","https://openalex.org/W2335441444","https://openalex.org/W138014004","https://openalex.org/W2075598034","https://openalex.org/W2038503502"],"abstract_inverted_index":{"Recently,":[0],"Weyl\u2019s":[1],"discrepancy":[2,24,46,58],"has":[3],"been":[4,30],"shown":[5],"to":[6,121],"be":[7,62,113],"the":[8,22,26,44,56],"optimum":[9],"metric":[10],"for":[11,39,68,100,109],"threshold-based":[12],"sampling.":[13],"Based":[14],"on":[15,21],"this":[16],"discrepancy,":[17],"threshold-adaption":[18],"strategies":[19],"relying":[20],"local":[23,45,57],"in":[25,47],"spike":[27],"domain":[28],"have":[29],"developed.":[31],"This":[32],"work":[33],"proposes":[34],"a":[35,40,52,69,85],"low-complexity":[36],"architecture":[37],"allowing":[38],"singlecycle":[41],"calculation":[42],"of":[43],"digital":[48,70],"hardware.":[49],"By":[50],"introducing":[51],"thermometer":[53],"code":[54],"representation,":[55],"can":[59,112],"not":[60],"only":[61],"calculated":[63],"with":[64],"low":[65],"complexity":[66],"tailored":[67],"hardware":[71],"implementation":[72],"but":[73],"also":[74],"features":[75],"inherent":[76],"overflow":[77],"robustness.":[78],"We":[79],"describe":[80],"that,":[81],"even":[82],"when":[83],"using":[84],"simple":[86],"PWM-based":[87],"DAC,":[88],"SNDR":[89],"values":[90,96],"above":[91,97],"58":[92],"dB":[93,99,108],"and":[94,104],"SNR":[95],"40":[98],"sinusoidal":[101],"test":[102],"cases":[103],"more":[105],"than":[106],"30":[107],"ECG":[110],"signals":[111],"achieved":[114],"while":[115],"requiring":[116],"significantly":[117],"less":[118],"spikes":[119],"compared":[120],"recent":[122],"state-of-the-art":[123],"works.":[124]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}