{"id":"https://openalex.org/W2111562091","doi":"https://doi.org/10.1109/icassp.1986.1169282","title":"Techniques for realization of high-speed recursive digital filters using residue number system arithmetic","display_name":"Techniques for realization of high-speed recursive digital filters using residue number system arithmetic","publication_year":2005,"publication_date":"2005-03-24","ids":{"openalex":"https://openalex.org/W2111562091","doi":"https://doi.org/10.1109/icassp.1986.1169282","mag":"2111562091"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.1986.1169282","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.1986.1169282","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP '86. IEEE International Conference on Acoustics, Speech, and Signal Processing","raw_type":"proceedings-article"},"type":"article","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/A5038634600","display_name":"T.G. Johnson","orcid":null},"institutions":[{"id":"https://openalex.org/I84218800","display_name":"University of California, Davis","ror":"https://ror.org/05rrcem69","country_code":"US","type":"education","lineage":["https://openalex.org/I84218800"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"T. Johnson","raw_affiliation_strings":["University of California, Davis, CA","University of California, Davis, CA,#TAB#"],"affiliations":[{"raw_affiliation_string":"University of California, Davis, CA","institution_ids":["https://openalex.org/I84218800"]},{"raw_affiliation_string":"University of California, Davis, CA,#TAB#","institution_ids":["https://openalex.org/I84218800"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5003693975","display_name":"G.A. Clark","orcid":"https://orcid.org/0000-0001-6705-3703"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"G. Clark","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5038634600"],"corresponding_institution_ids":["https://openalex.org/I84218800"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.13845235,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"11","issue":null,"first_page":"2623","last_page":"2626"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11693","display_name":"Cryptography and Residue Arithmetic","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T11693","display_name":"Cryptography and Residue Arithmetic","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T11697","display_name":"Numerical Methods and Algorithms","score":0.996999979019165,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/T10951","display_name":"Cryptographic Implementations and Security","score":0.9943000078201294,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/residue-number-system","display_name":"Residue number system","score":0.860986590385437},{"id":"https://openalex.org/keywords/adder","display_name":"Adder","score":0.7929880619049072},{"id":"https://openalex.org/keywords/arithmetic","display_name":"Arithmetic","score":0.792046070098877},{"id":"https://openalex.org/keywords/digital-filter","display_name":"Digital filter","score":0.6064656972885132},{"id":"https://openalex.org/keywords/multiplier","display_name":"Multiplier (economics)","score":0.5708236694335938},{"id":"https://openalex.org/keywords/saturation-arithmetic","display_name":"Saturation arithmetic","score":0.511434018611908},{"id":"https://openalex.org/keywords/binary-number","display_name":"Binary number","score":0.5056872367858887},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5032793879508972},{"id":"https://openalex.org/keywords/finite-impulse-response","display_name":"Finite impulse response","score":0.43156546354293823},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4214099645614624},{"id":"https://openalex.org/keywords/arbitrary-precision-arithmetic","display_name":"Arbitrary-precision arithmetic","score":0.3903251588344574},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3654845654964447},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.2883034944534302}],"concepts":[{"id":"https://openalex.org/C71480937","wikidata":"https://www.wikidata.org/wiki/Q3086516","display_name":"Residue number system","level":2,"score":0.860986590385437},{"id":"https://openalex.org/C164620267","wikidata":"https://www.wikidata.org/wiki/Q376953","display_name":"Adder","level":3,"score":0.7929880619049072},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.792046070098877},{"id":"https://openalex.org/C36390408","wikidata":"https://www.wikidata.org/wiki/Q1163067","display_name":"Digital filter","level":3,"score":0.6064656972885132},{"id":"https://openalex.org/C124584101","wikidata":"https://www.wikidata.org/wiki/Q1053266","display_name":"Multiplier (economics)","level":2,"score":0.5708236694335938},{"id":"https://openalex.org/C182775192","wikidata":"https://www.wikidata.org/wiki/Q913725","display_name":"Saturation arithmetic","level":3,"score":0.511434018611908},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.5056872367858887},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5032793879508972},{"id":"https://openalex.org/C198386975","wikidata":"https://www.wikidata.org/wiki/Q117785","display_name":"Finite impulse response","level":2,"score":0.43156546354293823},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4214099645614624},{"id":"https://openalex.org/C83581934","wikidata":"https://www.wikidata.org/wiki/Q527381","display_name":"Arbitrary-precision arithmetic","level":2,"score":0.3903251588344574},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3654845654964447},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.2883034944534302},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.0},{"id":"https://openalex.org/C82876162","wikidata":"https://www.wikidata.org/wiki/Q17096504","display_name":"Latency (audio)","level":2,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C139719470","wikidata":"https://www.wikidata.org/wiki/Q39680","display_name":"Macroeconomics","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp.1986.1169282","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.1986.1169282","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP '86. IEEE International Conference on Acoustics, Speech, and Signal Processing","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":5,"referenced_works":["https://openalex.org/W1489433220","https://openalex.org/W2062972006","https://openalex.org/W2123008137","https://openalex.org/W2141664762","https://openalex.org/W3018525600"],"related_works":["https://openalex.org/W3082309838","https://openalex.org/W2771537172","https://openalex.org/W2539006956","https://openalex.org/W2140867083","https://openalex.org/W2087454352","https://openalex.org/W2073476805","https://openalex.org/W2025932795","https://openalex.org/W2360054720","https://openalex.org/W2391369365","https://openalex.org/W2007892044"],"abstract_inverted_index":{"Residue-number-arithmetic":[0],"digital":[1,11],"filters":[2,12],"offer":[3],"major":[4,16],"cost":[5],"and":[6,56,67,69,90],"speed":[7,43],"advantages":[8],"over":[9],"binary-arithmetic":[10],"but":[13],"suffer":[14],"one":[15],"drawback.":[17],"The":[18],"filter":[19],"coefficients":[20],"must":[21],"remain":[22],"constant":[23],"because":[24],"efficient":[25],"means":[26],"of":[27,73,87],"updating":[28],"by":[29],"fractional":[30,84],"arithmetic":[31],"in":[32,44,53,61,98],"residue":[33],"number":[34],"systems":[35],"involves":[36],"time":[37],"consuming":[38],"overhead.":[39],"To":[40],"maintain":[41],"high":[42],"the":[45,47,54,77],"system":[46],"choices":[48],"are":[49,96],"to":[50,63,80],"use":[51,91],"RNS":[52,65,92],"adders":[55],"multipliers":[57],"with":[58],"scaling":[59],"done":[60],"ROM,":[62],"do":[64],"multiplies":[66],"addditions":[68],"scale":[70],"as":[71],"part":[72],"CRT":[74],"conversion":[75],"at":[76],"output,":[78],"or":[79],"apply":[81],"a":[82],"new":[83],"NTT":[85],"interpretation":[86],"multiplier":[88],"output":[89],"throughout.":[93],"These":[94],"methods":[95],"discussed":[97],"this":[99],"paper.":[100]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}