{"id":"https://openalex.org/W3159099101","doi":"https://doi.org/10.1109/iscas51556.2021.9401478","title":"Acquisition of High Bandwidth Signals by Sampling an Analog Chromatic Derivatives Filterbank","display_name":"Acquisition of High Bandwidth Signals by Sampling an Analog Chromatic Derivatives Filterbank","publication_year":2021,"publication_date":"2021-04-27","ids":{"openalex":"https://openalex.org/W3159099101","doi":"https://doi.org/10.1109/iscas51556.2021.9401478","mag":"3159099101"},"language":"en","primary_location":{"id":"doi:10.1109/iscas51556.2021.9401478","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscas51556.2021.9401478","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 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/A5065909911","display_name":"Amir Antonir","orcid":"https://orcid.org/0000-0002-0324-3193"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Amir Antonir","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011449810","display_name":"Chamith Wijenayake","orcid":"https://orcid.org/0000-0002-2070-1010"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chamith Wijenayake","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5079126989","display_name":"Aleksandar Ignjatovi\u0107","orcid":"https://orcid.org/0000-0001-7427-4934"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Aleksandar Ignjatovic","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.191,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.47131907,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"15","issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9994000196456909,"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"}},"topics":[{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9994000196456909,"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":0.998199999332428,"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"}},{"id":"https://openalex.org/T12300","display_name":"Advanced Electrical Measurement Techniques","score":0.9958000183105469,"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/filter-bank","display_name":"Filter bank","score":0.7754756212234497},{"id":"https://openalex.org/keywords/nyquist-rate","display_name":"Nyquist rate","score":0.6133295297622681},{"id":"https://openalex.org/keywords/nyquist\u2013shannon-sampling-theorem","display_name":"Nyquist\u2013Shannon sampling theorem","score":0.6107824444770813},{"id":"https://openalex.org/keywords/bandwidth","display_name":"Bandwidth (computing)","score":0.5978706479072571},{"id":"https://openalex.org/keywords/finite-impulse-response","display_name":"Finite impulse response","score":0.458523690700531},{"id":"https://openalex.org/keywords/signal-processing","display_name":"Signal processing","score":0.44376543164253235},{"id":"https://openalex.org/keywords/electronic-engineering","display_name":"Electronic engineering","score":0.4399409592151642},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4336305856704712},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4333198070526123},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.41657692193984985},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.35761046409606934},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.3289196193218231},{"id":"https://openalex.org/keywords/digital-signal-processing","display_name":"Digital signal processing","score":0.32416439056396484},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.30022379755973816},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.27601444721221924},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.20627769827842712},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.09929800033569336}],"concepts":[{"id":"https://openalex.org/C100515483","wikidata":"https://www.wikidata.org/wiki/Q3268235","display_name":"Filter bank","level":3,"score":0.7754756212234497},{"id":"https://openalex.org/C65914096","wikidata":"https://www.wikidata.org/wiki/Q6273772","display_name":"Nyquist rate","level":4,"score":0.6133295297622681},{"id":"https://openalex.org/C288623","wikidata":"https://www.wikidata.org/wiki/Q679800","display_name":"Nyquist\u2013Shannon sampling theorem","level":2,"score":0.6107824444770813},{"id":"https://openalex.org/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.5978706479072571},{"id":"https://openalex.org/C198386975","wikidata":"https://www.wikidata.org/wiki/Q117785","display_name":"Finite impulse response","level":2,"score":0.458523690700531},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.44376543164253235},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.4399409592151642},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4336305856704712},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4333198070526123},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.41657692193984985},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.35761046409606934},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.3289196193218231},{"id":"https://openalex.org/C84462506","wikidata":"https://www.wikidata.org/wiki/Q173142","display_name":"Digital signal processing","level":2,"score":0.32416439056396484},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.30022379755973816},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.27601444721221924},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.20627769827842712},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.09929800033569336},{"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/iscas51556.2021.9401478","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscas51556.2021.9401478","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Symposium on Circuits and Systems (ISCAS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W1596167301","https://openalex.org/W1988588397","https://openalex.org/W1992385338","https://openalex.org/W2017780610","https://openalex.org/W2042639884","https://openalex.org/W2074287921","https://openalex.org/W2077100346","https://openalex.org/W2104871570","https://openalex.org/W2110580144","https://openalex.org/W2167014994","https://openalex.org/W2291880745","https://openalex.org/W2395433195","https://openalex.org/W2568748599","https://openalex.org/W2775953574","https://openalex.org/W2781424117","https://openalex.org/W2886107974","https://openalex.org/W2912263317","https://openalex.org/W2914063571","https://openalex.org/W2963439144","https://openalex.org/W3083065058","https://openalex.org/W6637092651","https://openalex.org/W6669220462"],"related_works":["https://openalex.org/W2085219086","https://openalex.org/W2368043784","https://openalex.org/W2141599702","https://openalex.org/W2576230203","https://openalex.org/W3015557210","https://openalex.org/W2352374383","https://openalex.org/W2009568739","https://openalex.org/W1570358496","https://openalex.org/W2124861257","https://openalex.org/W2122012483"],"abstract_inverted_index":{"A":[0],"method":[1],"for":[2,38,62],"acquisition":[3,64],"of":[4,14,19,65,74,83,90,115,128],"high":[5,66],"bandwidth":[6,67],"signals":[7,68],"is":[8,49,121],"presented":[9],"as":[10],"a":[11,15,78],"typical":[12],"example":[13],"signal":[16,92,111,117],"processing":[17],"application":[18],"chromatic":[20,42,96,130],"derivatives":[21,25,97,131],"and":[22,93],"approximations.":[23],"Chromatic":[24],"are":[26,105],"numerically":[27],"robust":[28],"differential":[29],"operators":[30],"based":[31,45],"on":[32,46],"orthogonal":[33],"polynomials.":[34],"Theoretical":[35],"formulations":[36],"required":[37],"synthesising":[39],"an":[40,52],"analog":[41,53],"derivative":[43],"filterbank":[44,54,76],"all-pass":[47],"filters":[48,58],"presented.":[50],"Such":[51],"with":[55],"N":[56],"+1":[57],"can":[59],"be":[60],"used":[61,106],"digital":[63],"by":[69],"simultaneously":[70],"sampling":[71],"the":[72,75,84,91,109,116,129],"outputs":[73],"at":[77,118],"rate":[79],"2/(N":[80],"+":[81],"1)":[82],"Nyquist":[85],"rate,":[86],"resulting":[87],"in":[88,103],"samples":[89,127],"higher":[94],"order":[95,100],"up":[98],"to":[99,107],"N,":[101],"which":[102],"turn":[104],"reconstruct":[108],"original":[110],"back.":[112],"The":[113],"value":[114],"any":[119],"instant":[120],"obtained":[122],"from":[123],"only":[124],"two":[125],"nearest":[126],"filterbank.":[132]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}