{"id":"https://openalex.org/W1646005828","doi":"https://doi.org/10.1109/icassp.1983.1171994","title":"Implementation for two-dimensional FIR filters using the number theoretic transform","display_name":"Implementation for two-dimensional FIR filters using the number theoretic transform","publication_year":2005,"publication_date":"2005-03-24","ids":{"openalex":"https://openalex.org/W1646005828","doi":"https://doi.org/10.1109/icassp.1983.1171994","mag":"1646005828"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.1983.1171994","is_oa":true,"landing_page_url":"https://doi.org/10.1109/icassp.1983.1171994","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP '83. IEEE International Conference on Acoustics, Speech, and Signal Processing","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1109/icassp.1983.1171994","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5114254066","display_name":"Y. Morikawa","orcid":null},"institutions":[{"id":"https://openalex.org/I163770644","display_name":"Okayama University","ror":"https://ror.org/02pc6pc55","country_code":"JP","type":"education","lineage":["https://openalex.org/I163770644"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Y. Morikawa","raw_affiliation_strings":["School of Engineering, Okayama University, Okayama, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Engineering, Okayama University, Okayama, Japan","institution_ids":["https://openalex.org/I163770644"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5021230471","display_name":"Hiroshi Hamada","orcid":"https://orcid.org/0000-0002-7196-5948"},"institutions":[{"id":"https://openalex.org/I163770644","display_name":"Okayama University","ror":"https://ror.org/02pc6pc55","country_code":"JP","type":"education","lineage":["https://openalex.org/I163770644"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"H. Hamada","raw_affiliation_strings":["School of Engineering, Okayama University, Okayama, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Engineering, Okayama University, Okayama, Japan","institution_ids":["https://openalex.org/I163770644"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I163770644"],"apc_list":null,"apc_paid":null,"fwci":0.3242,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.54754694,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"8","issue":null,"first_page":"1248","last_page":"1251"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11034","display_name":"Digital Filter Design and Implementation","score":0.9998000264167786,"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"}},"topics":[{"id":"https://openalex.org/T11034","display_name":"Digital Filter Design and Implementation","score":0.9998000264167786,"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/T11697","display_name":"Numerical Methods and Algorithms","score":0.9934999942779541,"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/T12923","display_name":"Digital Image Processing Techniques","score":0.9921000003814697,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/finite-impulse-response","display_name":"Finite impulse response","score":0.8644717931747437},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.6947150230407715},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.6109044551849365},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5823627710342407},{"id":"https://openalex.org/keywords/digital-filter","display_name":"Digital filter","score":0.543500542640686},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5071456432342529},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.5048249363899231},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4281850755214691},{"id":"https://openalex.org/keywords/low-pass-filter","display_name":"Low-pass filter","score":0.41648441553115845},{"id":"https://openalex.org/keywords/arithmetic","display_name":"Arithmetic","score":0.3312445878982544},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.0870438814163208},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.07688939571380615}],"concepts":[{"id":"https://openalex.org/C198386975","wikidata":"https://www.wikidata.org/wiki/Q117785","display_name":"Finite impulse response","level":2,"score":0.8644717931747437},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.6947150230407715},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.6109044551849365},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5823627710342407},{"id":"https://openalex.org/C36390408","wikidata":"https://www.wikidata.org/wiki/Q1163067","display_name":"Digital filter","level":3,"score":0.543500542640686},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5071456432342529},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.5048249363899231},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4281850755214691},{"id":"https://openalex.org/C44682112","wikidata":"https://www.wikidata.org/wiki/Q918242","display_name":"Low-pass filter","level":3,"score":0.41648441553115845},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.3312445878982544},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.0870438814163208},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.07688939571380615},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp.1983.1171994","is_oa":true,"landing_page_url":"https://doi.org/10.1109/icassp.1983.1171994","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP '83. IEEE International Conference on Acoustics, Speech, and Signal Processing","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1109/icassp.1983.1171994","is_oa":true,"landing_page_url":"https://doi.org/10.1109/icassp.1983.1171994","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP '83. IEEE International Conference on Acoustics, Speech, and Signal Processing","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":6,"referenced_works":["https://openalex.org/W1964710096","https://openalex.org/W2050216425","https://openalex.org/W2060968961","https://openalex.org/W2104943391","https://openalex.org/W2144578265","https://openalex.org/W2161460750"],"related_works":["https://openalex.org/W1902114972","https://openalex.org/W2810377961","https://openalex.org/W126808228","https://openalex.org/W1505918581","https://openalex.org/W2046083070","https://openalex.org/W2379702749","https://openalex.org/W1751484597","https://openalex.org/W2031512523","https://openalex.org/W4312130601","https://openalex.org/W1143231023"],"abstract_inverted_index":{"This":[0,25],"paper":[1],"presents":[2],"a":[3,28,83],"new":[4,92],"implementation":[5],"technique":[6,34,98],"for":[7],"two":[8],"dimensional(2-D)":[9],"finite":[10],"impulse":[11],"response(FIR)":[12],"filter":[13,60],"of":[14,35,43,49,58,71,99,112],"relatively":[15],"large":[16],"support":[17,56],"region":[18,57],"using":[19],"the":[20,41,50,55,66,69,72,100],"number":[21,111],"theoretic":[22],"transform":[23],"(NTT).":[24],"method":[26],"uses":[27],"sectioning":[29,67],"procedure":[30],"and":[31,95],"fast":[32],"computation":[33],"2-D":[36,44,73,84,93,97,106],"digital":[37],"cyclic":[38,88],"convolution(DCC).":[39],"As":[40],"size":[42],"DCC":[45,74,85,94],"by":[46],"direct":[47],"use":[48],"NTT":[51],"is":[52,61],"restricted":[53],"small,":[54],"FIR":[59,107],"further":[62],"restricted.":[63],"But,":[64],"in":[65],"procedure,":[68],"cyclicity":[70],"should":[75],"not":[76],"always":[77],"be":[78],"rectangular.":[79],"Therefore,":[80],"we":[81,102],"propose":[82],"with":[86,109],"skewingly":[87],"extension.":[89],"Using":[90],"this":[91],"Agarwal's":[96],"NTT,":[101],"may":[103],"implement":[104],"practical":[105],"filters":[108],"smaller":[110],"computational":[113],"operations.":[114]},"counts_by_year":[],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}
