{"id":"https://openalex.org/W4389918448","doi":"https://doi.org/10.3390/s23249851","title":"Analytic Design Technique for 2D FIR Circular Filter Banks and Their Efficient Implementation Using Polyphase Approach","display_name":"Analytic Design Technique for 2D FIR Circular Filter Banks and Their Efficient Implementation Using Polyphase Approach","publication_year":2023,"publication_date":"2023-12-15","ids":{"openalex":"https://openalex.org/W4389918448","doi":"https://doi.org/10.3390/s23249851","pmid":"https://pubmed.ncbi.nlm.nih.gov/38139696"},"language":"en","primary_location":{"id":"doi:10.3390/s23249851","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s23249851","pdf_url":null,"source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.3390/s23249851","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5055183112","display_name":"Radu Matei","orcid":"https://orcid.org/0000-0003-4775-1795"},"institutions":[{"id":"https://openalex.org/I4210108695","display_name":"Gheorghe Asachi Technical University of Ia\u0219i","ror":"https://ror.org/014zxnz40","country_code":"RO","type":"education","lineage":["https://openalex.org/I4210108695"]},{"id":"https://openalex.org/I58077936","display_name":"Romanian Academy","ror":"https://ror.org/0561n6946","country_code":"RO","type":"archive","lineage":["https://openalex.org/I58077936"]}],"countries":["RO"],"is_corresponding":false,"raw_author_name":"Radu Matei","raw_affiliation_strings":["Faculty of Electronics, Telecommunications and Information Technology, \u201cGheorghe Asachi\u201d Technical University of Ia\u015fi, 700506 Ia\u015fi, Romania","Institute of Computer Science, Ia\u015fi Branch of the Romanian Academy, 700481 Ia\u015fi, Romania"],"affiliations":[{"raw_affiliation_string":"Faculty of Electronics, Telecommunications and Information Technology, \u201cGheorghe Asachi\u201d Technical University of Ia\u015fi, 700506 Ia\u015fi, Romania","institution_ids":["https://openalex.org/I4210108695"]},{"raw_affiliation_string":"Institute of Computer Science, Ia\u015fi Branch of the Romanian Academy, 700481 Ia\u015fi, Romania","institution_ids":["https://openalex.org/I58077936"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5009246558","display_name":"Doru Florin Chiper","orcid":"https://orcid.org/0000-0002-3322-4663"},"institutions":[{"id":"https://openalex.org/I4210108695","display_name":"Gheorghe Asachi Technical University of Ia\u0219i","ror":"https://ror.org/014zxnz40","country_code":"RO","type":"education","lineage":["https://openalex.org/I4210108695"]},{"id":"https://openalex.org/I33800924","display_name":"Academy of Romanian Scientists","ror":"https://ror.org/04ybnj478","country_code":"RO","type":"facility","lineage":["https://openalex.org/I33800924"]}],"countries":["RO"],"is_corresponding":true,"raw_author_name":"Doru Florin Chiper","raw_affiliation_strings":["Academy of Romanian Scientists (AOSR), 030167 Bucure\u0219ti, Romania","Faculty of Electronics, Telecommunications and Information Technology, \u201cGheorghe Asachi\u201d Technical University of Ia\u015fi, 700506 Ia\u015fi, Romania","Technical Sciences Academy of Romania (ASTR), 700050 Ia\u015fi, Romania"],"affiliations":[{"raw_affiliation_string":"Academy of Romanian Scientists (AOSR), 030167 Bucure\u0219ti, Romania","institution_ids":["https://openalex.org/I33800924"]},{"raw_affiliation_string":"Faculty of Electronics, Telecommunications and Information Technology, \u201cGheorghe Asachi\u201d Technical University of Ia\u015fi, 700506 Ia\u015fi, Romania","institution_ids":["https://openalex.org/I4210108695"]},{"raw_affiliation_string":"Technical Sciences Academy of Romania (ASTR), 700050 Ia\u015fi, Romania","institution_ids":["https://openalex.org/I33800924"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5009246558"],"corresponding_institution_ids":["https://openalex.org/I33800924","https://openalex.org/I4210108695"],"apc_list":{"value":2400,"currency":"CHF","value_usd":2598},"apc_paid":{"value":2400,"currency":"CHF","value_usd":2598},"fwci":1.351,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.83648124,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":"23","issue":"24","first_page":"9851","last_page":"9851"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9997000098228455,"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":0.9997000098228455,"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":0.9997000098228455,"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/T11245","display_name":"Advanced Numerical Analysis Techniques","score":0.9912999868392944,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/polyphase-system","display_name":"Polyphase system","score":0.8154767155647278},{"id":"https://openalex.org/keywords/filter-bank","display_name":"Filter bank","score":0.6586740016937256},{"id":"https://openalex.org/keywords/prototype-filter","display_name":"Prototype filter","score":0.6388193964958191},{"id":"https://openalex.org/keywords/filter-design","display_name":"Filter design","score":0.6365993618965149},{"id":"https://openalex.org/keywords/low-pass-filter","display_name":"Low-pass filter","score":0.5597981810569763},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5531017780303955},{"id":"https://openalex.org/keywords/m-derived-filter","display_name":"m-derived filter","score":0.5212093591690063},{"id":"https://openalex.org/keywords/high-pass-filter","display_name":"High-pass filter","score":0.5175209045410156},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.5146930813789368},{"id":"https://openalex.org/keywords/composite-image-filter","display_name":"Composite image filter","score":0.4685182273387909},{"id":"https://openalex.org/keywords/quadrature-mirror-filter","display_name":"Quadrature mirror filter","score":0.45818203687667847},{"id":"https://openalex.org/keywords/finite-impulse-response","display_name":"Finite impulse response","score":0.45046916604042053},{"id":"https://openalex.org/keywords/butterworth-filter","display_name":"Butterworth filter","score":0.44789063930511475},{"id":"https://openalex.org/keywords/frequency-response","display_name":"Frequency response","score":0.44711536169052124},{"id":"https://openalex.org/keywords/frequency-domain","display_name":"Frequency domain","score":0.43813619017601013},{"id":"https://openalex.org/keywords/half-band-filter","display_name":"Half-band filter","score":0.42771533131599426},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.41281193494796753},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3936843276023865},{"id":"https://openalex.org/keywords/electronic-engineering","display_name":"Electronic engineering","score":0.38173556327819824},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1888194978237152},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.13346418738365173},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.1189306378364563}],"concepts":[{"id":"https://openalex.org/C96157337","wikidata":"https://www.wikidata.org/wiki/Q391639","display_name":"Polyphase system","level":2,"score":0.8154767155647278},{"id":"https://openalex.org/C100515483","wikidata":"https://www.wikidata.org/wiki/Q3268235","display_name":"Filter bank","level":3,"score":0.6586740016937256},{"id":"https://openalex.org/C175742284","wikidata":"https://www.wikidata.org/wiki/Q1415537","display_name":"Prototype filter","level":4,"score":0.6388193964958191},{"id":"https://openalex.org/C22597639","wikidata":"https://www.wikidata.org/wiki/Q5449227","display_name":"Filter design","level":3,"score":0.6365993618965149},{"id":"https://openalex.org/C44682112","wikidata":"https://www.wikidata.org/wiki/Q918242","display_name":"Low-pass filter","level":3,"score":0.5597981810569763},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5531017780303955},{"id":"https://openalex.org/C156930551","wikidata":"https://www.wikidata.org/wiki/Q17102852","display_name":"m-derived filter","level":4,"score":0.5212093591690063},{"id":"https://openalex.org/C156137958","wikidata":"https://www.wikidata.org/wiki/Q262754","display_name":"High-pass filter","level":4,"score":0.5175209045410156},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.5146930813789368},{"id":"https://openalex.org/C78087231","wikidata":"https://www.wikidata.org/wiki/Q5156759","display_name":"Composite image filter","level":3,"score":0.4685182273387909},{"id":"https://openalex.org/C64621657","wikidata":"https://www.wikidata.org/wiki/Q2699730","display_name":"Quadrature mirror filter","level":5,"score":0.45818203687667847},{"id":"https://openalex.org/C198386975","wikidata":"https://www.wikidata.org/wiki/Q117785","display_name":"Finite impulse response","level":2,"score":0.45046916604042053},{"id":"https://openalex.org/C70757512","wikidata":"https://www.wikidata.org/wiki/Q1018162","display_name":"Butterworth filter","level":5,"score":0.44789063930511475},{"id":"https://openalex.org/C8590192","wikidata":"https://www.wikidata.org/wiki/Q1054694","display_name":"Frequency response","level":2,"score":0.44711536169052124},{"id":"https://openalex.org/C19118579","wikidata":"https://www.wikidata.org/wiki/Q786423","display_name":"Frequency domain","level":2,"score":0.43813619017601013},{"id":"https://openalex.org/C141159389","wikidata":"https://www.wikidata.org/wiki/Q17020444","display_name":"Half-band filter","level":5,"score":0.42771533131599426},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.41281193494796753},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3936843276023865},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.38173556327819824},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1888194978237152},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.13346418738365173},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.1189306378364563},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.3390/s23249851","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s23249851","pdf_url":null,"source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},{"id":"pmid:38139696","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/38139696","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors (Basel, Switzerland)","raw_type":null},{"id":"pmh:oai:pubmedcentral.nih.gov:10747689","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/10747689","pdf_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC10747689/pdf/sensors-23-09851.pdf","source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors (Basel)","raw_type":"Text"},{"id":"pmh:oai:doaj.org/article:0a4305e2d59549318e32e6e495c5ebfa","is_oa":true,"landing_page_url":"https://doaj.org/article/0a4305e2d59549318e32e6e495c5ebfa","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors, Vol 23, Iss 24, p 9851 (2023)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.3390/s23249851","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s23249851","pdf_url":null,"source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":40,"referenced_works":["https://openalex.org/W1559121651","https://openalex.org/W2015051016","https://openalex.org/W2043299190","https://openalex.org/W2060237834","https://openalex.org/W2084808478","https://openalex.org/W2098347925","https://openalex.org/W2100280872","https://openalex.org/W2105777281","https://openalex.org/W2109812093","https://openalex.org/W2111815479","https://openalex.org/W2113638462","https://openalex.org/W2115266236","https://openalex.org/W2120128770","https://openalex.org/W2135978336","https://openalex.org/W2156319262","https://openalex.org/W2162181172","https://openalex.org/W2169623907","https://openalex.org/W2267716185","https://openalex.org/W2586317996","https://openalex.org/W2739817147","https://openalex.org/W2751942748","https://openalex.org/W2794504171","https://openalex.org/W2908535203","https://openalex.org/W2967918697","https://openalex.org/W3102097947","https://openalex.org/W3138047207","https://openalex.org/W3199238851","https://openalex.org/W3204731106","https://openalex.org/W4206683431","https://openalex.org/W4221113765","https://openalex.org/W4323542831","https://openalex.org/W4323566558","https://openalex.org/W4378979722","https://openalex.org/W4385482289","https://openalex.org/W4387956063","https://openalex.org/W6671963992","https://openalex.org/W6675178369","https://openalex.org/W6677595196","https://openalex.org/W6677889271","https://openalex.org/W6801947122"],"related_works":["https://openalex.org/W2138687781","https://openalex.org/W2507676284","https://openalex.org/W2607190296","https://openalex.org/W2380305669","https://openalex.org/W2122972377","https://openalex.org/W2106993284","https://openalex.org/W4301184722","https://openalex.org/W2048107953","https://openalex.org/W2773142768","https://openalex.org/W1526610477"],"abstract_inverted_index":{"This":[0],"paper":[1],"proposes":[2],"an":[3,134],"analytical":[4],"design":[5,102,148],"procedure":[6],"for":[7,191,196,225],"2D":[8,119,228],"FIR":[9,229],"circular":[10,153],"filter":[11,23,75,120,154,168,202],"banks":[12],"and":[13,30,57,66,95,157,204,212],"also":[14,123,171],"a":[15,27,31,48,54,62,81,85,89,105,109,127,141,192,197,216,232],"novel,":[16],"computationally":[17],"efficient":[18],"implementation":[19,188,218],"of":[20,38,116,149,152,162,200,205],"the":[21,39,44,101,113,117,147,166,175,183,201,206,210,220,226],"designed":[22,42,118,131,227],"bank":[24,40,121,169],"based":[25],"on":[26],"polyphase":[28,211],"structure":[29],"block":[32,213],"filtering":[33,214],"approach.":[34],"The":[35,72,130,186],"component":[36],"filters":[37,132],"are":[41],"in":[43,80,126],"frequency":[45,50,76,114],"domain":[46],"using":[47,92],"specific":[49],"transformation":[51],"applied":[52],"to":[53],"low-pass,":[55],"band-pass":[56],"high-pass":[58],"1D":[59,73,106],"prototype":[60,74,107],"with":[61,88,108,137,165,231],"specified":[63,90],"Gaussian":[64],"shape":[65],"imposed":[67],"specifications":[68],"(peak":[69],"frequency,":[70],"bandwidth).":[71],"response":[77,115],"is":[78,98,170,189,223],"derived":[79],"closed":[82],"form":[83],"as":[84],"trigonometric":[86],"polynomial":[87],"order":[91],"Fourier":[93],"series,":[94],"then":[96],"it":[97],"factored.":[99],"Since":[100],"starts":[103],"from":[104,182],"factored":[110,128],"transfer":[111],"function,":[112],"components":[122],"results":[124],"directly":[125],"form.":[129],"have":[133],"accurate":[135],"shape,":[136],"negligible":[138],"distortions":[139],"at":[140,219],"relatively":[142,233],"low":[143,234],"order.":[144],"We":[145],"present":[146],"two":[150],"types":[151],"banks:":[155],"uniform":[156,167],"non-uniform":[158],"(dyadic).":[159],"An":[160],"example":[161],"image":[163,177],"analysis":[164],"provided,":[172],"showing":[173],"that":[174],"original":[176],"can":[178],"be":[179],"accurately":[180],"reconstructed":[181],"sub-band":[184],"images.":[185],"proposed":[187],"presented":[190],"simpler":[193],"case,":[194],"namely":[195],"smaller":[198],"size":[199],"kernel":[203],"input":[207],"image.":[208],"Using":[209],"approach,":[215],"convenient":[217],"system":[221],"level":[222],"obtained":[224],"filter,":[230],"computational":[235],"complexity.":[236]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":4}],"updated_date":"2025-12-19T19:40:27.379048","created_date":"2025-10-10T00:00:00"}
