{"id":"https://openalex.org/W2108575868","doi":"https://doi.org/10.1109/icassp.2014.6855229","title":"Adaptive dual-threshold neural signal compression suitable for implantable recording","display_name":"Adaptive dual-threshold neural signal compression suitable for implantable recording","publication_year":2014,"publication_date":"2014-05-01","ids":{"openalex":"https://openalex.org/W2108575868","doi":"https://doi.org/10.1109/icassp.2014.6855229","mag":"2108575868"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2014.6855229","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2014.6855229","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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/A5078446750","display_name":"Russell Dodd","orcid":null},"institutions":[{"id":"https://openalex.org/I154425047","display_name":"University of Alberta","ror":"https://ror.org/0160cpw27","country_code":"CA","type":"education","lineage":["https://openalex.org/I154425047"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Russell Dodd","raw_affiliation_strings":["Electrical and Computer Engineering, University of Alberta, Edmonton, AB, Canada","Electr. & Comput. Eng., Univ. of Alberta, Edmonton, AB, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Electrical and Computer Engineering, University of Alberta, Edmonton, AB, Canada","institution_ids":["https://openalex.org/I154425047"]},{"raw_affiliation_string":"Electr. & Comput. Eng., Univ. of Alberta, Edmonton, AB, Canada","institution_ids":["https://openalex.org/I154425047"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013568704","display_name":"B.F. Cockburn","orcid":"https://orcid.org/0000-0002-4340-8394"},"institutions":[{"id":"https://openalex.org/I154425047","display_name":"University of Alberta","ror":"https://ror.org/0160cpw27","country_code":"CA","type":"education","lineage":["https://openalex.org/I154425047"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Bruce F. Cockburn","raw_affiliation_strings":["Electrical and Computer Engineering, University of Alberta, Edmonton, AB, Canada","Electr. & Comput. Eng., Univ. of Alberta, Edmonton, AB, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Electrical and Computer Engineering, University of Alberta, Edmonton, AB, Canada","institution_ids":["https://openalex.org/I154425047"]},{"raw_affiliation_string":"Electr. & Comput. Eng., Univ. of Alberta, Edmonton, AB, Canada","institution_ids":["https://openalex.org/I154425047"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5024704337","display_name":"Vincent Gaudet","orcid":"https://orcid.org/0000-0002-5534-0825"},"institutions":[{"id":"https://openalex.org/I151746483","display_name":"University of Waterloo","ror":"https://ror.org/01aff2v68","country_code":"CA","type":"education","lineage":["https://openalex.org/I151746483"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Vincent Gaudet","raw_affiliation_strings":["Electrical and Computer Engineering, University of Waterloo, Waterloo, ON, Canada","Electr. & Comput. Eng, Univ. of Waterloo, Waterloo, ON, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Electrical and Computer Engineering, University of Waterloo, Waterloo, ON, Canada","institution_ids":["https://openalex.org/I151746483"]},{"raw_affiliation_string":"Electr. & Comput. Eng, Univ. of Waterloo, Waterloo, ON, Canada","institution_ids":["https://openalex.org/I151746483"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.6005,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.67261389,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"78","issue":null,"first_page":"8346","last_page":"8350"},"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":0.9998999834060669,"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":0.9998999834060669,"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/T11601","display_name":"Neuroscience and Neural Engineering","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/2804","display_name":"Cellular and Molecular Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10502","display_name":"Advanced Memory and Neural Computing","score":0.9979000091552734,"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/computer-science","display_name":"Computer science","score":0.7036856412887573},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.6215976476669312},{"id":"https://openalex.org/keywords/compression-ratio","display_name":"Compression ratio","score":0.5494890213012695},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.5253086686134338},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.5191744565963745},{"id":"https://openalex.org/keywords/spike","display_name":"Spike (software development)","score":0.5130983591079712},{"id":"https://openalex.org/keywords/signal-compression","display_name":"Signal compression","score":0.453899085521698},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.44813239574432373},{"id":"https://openalex.org/keywords/electronic-engineering","display_name":"Electronic engineering","score":0.4385717511177063},{"id":"https://openalex.org/keywords/compression","display_name":"Compression (physics)","score":0.43122392892837524},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.4269031882286072},{"id":"https://openalex.org/keywords/digital-signal-processing","display_name":"Digital signal processing","score":0.38367128372192383},{"id":"https://openalex.org/keywords/signal-processing","display_name":"Signal processing","score":0.3622779846191406},{"id":"https://openalex.org/keywords/computer-hardware","display_name":"Computer hardware","score":0.3226698040962219},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.30619531869888306},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.16695046424865723},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.13066864013671875},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.08365479111671448}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7036856412887573},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.6215976476669312},{"id":"https://openalex.org/C25797200","wikidata":"https://www.wikidata.org/wiki/Q828137","display_name":"Compression ratio","level":3,"score":0.5494890213012695},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.5253086686134338},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.5191744565963745},{"id":"https://openalex.org/C2781390188","wikidata":"https://www.wikidata.org/wiki/Q25203449","display_name":"Spike (software development)","level":2,"score":0.5130983591079712},{"id":"https://openalex.org/C2778192920","wikidata":"https://www.wikidata.org/wiki/Q16874989","display_name":"Signal compression","level":4,"score":0.453899085521698},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.44813239574432373},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.4385717511177063},{"id":"https://openalex.org/C180016635","wikidata":"https://www.wikidata.org/wiki/Q2712821","display_name":"Compression (physics)","level":2,"score":0.43122392892837524},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.4269031882286072},{"id":"https://openalex.org/C84462506","wikidata":"https://www.wikidata.org/wiki/Q173142","display_name":"Digital signal processing","level":2,"score":0.38367128372192383},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.3622779846191406},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.3226698040962219},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.30619531869888306},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.16695046424865723},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.13066864013671875},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.08365479111671448},{"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/C115903868","wikidata":"https://www.wikidata.org/wiki/Q80993","display_name":"Software engineering","level":1,"score":0.0},{"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/C171146098","wikidata":"https://www.wikidata.org/wiki/Q124192","display_name":"Automotive engineering","level":1,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp.2014.6855229","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2014.6855229","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6700000166893005,"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W29781625","https://openalex.org/W577701611","https://openalex.org/W1971770118","https://openalex.org/W1976733690","https://openalex.org/W1984713179","https://openalex.org/W2023996234","https://openalex.org/W2045885961","https://openalex.org/W2104599289","https://openalex.org/W2118755334","https://openalex.org/W2119408025","https://openalex.org/W2121879405","https://openalex.org/W2124184942","https://openalex.org/W2144474305","https://openalex.org/W2146216888","https://openalex.org/W2147691462","https://openalex.org/W2147946355","https://openalex.org/W2153279141","https://openalex.org/W2157468984","https://openalex.org/W2159318368","https://openalex.org/W2171406132","https://openalex.org/W2539424379","https://openalex.org/W4239719188","https://openalex.org/W6601221807","https://openalex.org/W6646384524"],"related_works":["https://openalex.org/W2161302774","https://openalex.org/W4383723869","https://openalex.org/W4384298135","https://openalex.org/W4383722264","https://openalex.org/W2388481516","https://openalex.org/W3007688875","https://openalex.org/W1723410974","https://openalex.org/W3209669196","https://openalex.org/W2110517301","https://openalex.org/W1605655367"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"a":[3,16,61],"digital":[4,37],"architecture":[5,38],"for":[6],"neural":[7,42],"signal":[8],"compression":[9,44],"using":[10],"adaptive":[11],"two-threshold":[12],"spike":[13],"detection":[14],"and":[15,25,29],"nonlinear":[17],"discrete":[18],"wavelet":[19],"coefficient":[20],"selection":[21],"scheme.":[22],"The":[23,34],"circuits":[24],"algorithms":[26],"are":[27],"described":[28],"compared":[30],"with":[31,56],"the":[32,48],"state-of-the-art.":[33],"proposed":[35],"16-channel":[36],"is":[39],"capable":[40],"of":[41,47],"data":[43,51],"to":[45],"0.5%":[46],"original":[49],"raw":[50],"rate":[52],"while":[53],"consuming":[54],"21\u03bcW,":[55],"30-kHz":[57],"8-bit":[58],"sampling,":[59],"in":[60],"0.8-V":[62],"130-nm":[63],"low-power":[64],"IBM":[65],"process.":[66]},"counts_by_year":[{"year":2014,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
