{"id":"https://openalex.org/W2150245028","doi":"https://doi.org/10.1109/iscas.2003.1205839","title":"Analysis of rational sample rate conversion using image response combining","display_name":"Analysis of rational sample rate conversion using image response combining","publication_year":2003,"publication_date":"2003-11-04","ids":{"openalex":"https://openalex.org/W2150245028","doi":"https://doi.org/10.1109/iscas.2003.1205839","mag":"2150245028"},"language":"en","primary_location":{"id":"doi:10.1109/iscas.2003.1205839","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscas.2003.1205839","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2003 International Symposium on Circuits and Systems, 2003. ISCAS '03.","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/A5030098421","display_name":"Vesa Lehtinen","orcid":null},"institutions":[{"id":"https://openalex.org/I4210133110","display_name":"Tampere University","ror":null,"country_code":"FI","type":null,"lineage":["https://openalex.org/I4210133110"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"V. Lehtinen","raw_affiliation_strings":["Institute of Communications Engineering, Tampere University of Technology, Tampere, Finland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Communications Engineering, Tampere University of Technology, Tampere, Finland","institution_ids":["https://openalex.org/I4210133110"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5013533865","display_name":"Markku Renfors","orcid":"https://orcid.org/0000-0003-1548-6851"},"institutions":[{"id":"https://openalex.org/I4210133110","display_name":"Tampere University","ror":null,"country_code":"FI","type":null,"lineage":["https://openalex.org/I4210133110"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"M. Renfors","raw_affiliation_strings":["Institute of Communications Engineering, Tampere University of Technology, Tampere, Finland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Communications Engineering, Tampere University of Technology, Tampere, Finland","institution_ids":["https://openalex.org/I4210133110"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4210133110"],"apc_list":null,"apc_paid":null,"fwci":0.6358,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.67155105,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"4","issue":null,"first_page":"IV","last_page":"325"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11034","display_name":"Digital Filter Design and Implementation","score":0.9983000159263611,"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":0.9983000159263611,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9976999759674072,"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/T11236","display_name":"Control Systems and Identification","score":0.9929999709129333,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/impulse-response","display_name":"Impulse response","score":0.7840966582298279},{"id":"https://openalex.org/keywords/decimation","display_name":"Decimation","score":0.7287119030952454},{"id":"https://openalex.org/keywords/frequency-domain","display_name":"Frequency domain","score":0.6421325206756592},{"id":"https://openalex.org/keywords/frequency-response","display_name":"Frequency response","score":0.5817449688911438},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5462902784347534},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5455382466316223},{"id":"https://openalex.org/keywords/ambiguity-function","display_name":"Ambiguity function","score":0.502622127532959},{"id":"https://openalex.org/keywords/finite-impulse-response","display_name":"Finite impulse response","score":0.5019533634185791},{"id":"https://openalex.org/keywords/autocorrelation","display_name":"Autocorrelation","score":0.4484628438949585},{"id":"https://openalex.org/keywords/linear-phase","display_name":"Linear phase","score":0.43159329891204834},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3875923156738281},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.3137367367744446},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.14535260200500488},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.09742081165313721}],"concepts":[{"id":"https://openalex.org/C72279823","wikidata":"https://www.wikidata.org/wiki/Q1139726","display_name":"Impulse response","level":2,"score":0.7840966582298279},{"id":"https://openalex.org/C173642442","wikidata":"https://www.wikidata.org/wiki/Q1253346","display_name":"Decimation","level":3,"score":0.7287119030952454},{"id":"https://openalex.org/C19118579","wikidata":"https://www.wikidata.org/wiki/Q786423","display_name":"Frequency domain","level":2,"score":0.6421325206756592},{"id":"https://openalex.org/C8590192","wikidata":"https://www.wikidata.org/wiki/Q1054694","display_name":"Frequency response","level":2,"score":0.5817449688911438},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5462902784347534},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5455382466316223},{"id":"https://openalex.org/C50878840","wikidata":"https://www.wikidata.org/wiki/Q3206297","display_name":"Ambiguity function","level":4,"score":0.502622127532959},{"id":"https://openalex.org/C198386975","wikidata":"https://www.wikidata.org/wiki/Q117785","display_name":"Finite impulse response","level":2,"score":0.5019533634185791},{"id":"https://openalex.org/C5297727","wikidata":"https://www.wikidata.org/wiki/Q786970","display_name":"Autocorrelation","level":2,"score":0.4484628438949585},{"id":"https://openalex.org/C20610874","wikidata":"https://www.wikidata.org/wiki/Q512136","display_name":"Linear phase","level":3,"score":0.43159329891204834},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3875923156738281},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.3137367367744446},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.14535260200500488},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.09742081165313721},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C197424946","wikidata":"https://www.wikidata.org/wiki/Q1165717","display_name":"Waveform","level":3,"score":0.0},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iscas.2003.1205839","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscas.2003.1205839","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2003 International Symposium on Circuits and Systems, 2003. ISCAS '03.","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W1610008612","https://openalex.org/W1655492992","https://openalex.org/W1876018024","https://openalex.org/W2063678701","https://openalex.org/W2164571477","https://openalex.org/W2166235916","https://openalex.org/W2168083023","https://openalex.org/W6684862377"],"related_works":["https://openalex.org/W2123014996","https://openalex.org/W2122784750","https://openalex.org/W2187820340","https://openalex.org/W2184798135","https://openalex.org/W3170745555","https://openalex.org/W2405905509","https://openalex.org/W2126515323","https://openalex.org/W2555061060","https://openalex.org/W1971002212","https://openalex.org/W2107063331"],"abstract_inverted_index":{"Using":[0],"discrete-time":[1],"response":[2,30,40,58,116,122,162],"modelling,":[3],"we":[4,146],"analyse":[5],"the":[6,23,26,42,90,94,120,136,170],"complicated":[7],"frequency":[8,29,103,143],"domain":[9,144,152],"input-output":[10],"relationship":[11],"of":[12,25,28,37,44,92,96,100,142,160],"sample":[13,62,80],"rate":[14,63,81],"conversion":[15,82],"with":[16],"a":[17,38,45,52,56,60,65,105,148],"rational,":[18],"non-integer":[19],"factor":[20],"and":[21,75,119,172],"address":[22],"ambiguity":[24],"concept":[27],"in":[31],"fractional":[32],"multirate":[33],"systems.":[34],"The":[35,85,108,164],"dependence":[36],"system":[39,76],"on":[41,89,167],"phase":[43],"real":[46],"signal":[47],"is":[48,83,87,110],"shown.":[49],"We":[50],"develop":[51],"method":[53,86,109],"to":[54,64,68,113,156,179],"translate":[55],"magnitude":[57,126],"from":[59],"higher":[61],"lower":[66],"one":[67],"allow":[69],"better":[70],"comparison":[71],"between":[72],"filter":[73],"properties":[74],"specifications":[77],"when":[78],"rational":[79],"used.":[84],"based":[88],"idea":[91],"combining":[93,117],"responses":[95],"all":[97],"(aliased)":[98],"images":[99],"an":[101],"input":[102],"into":[104],"scalar":[106],"quantity.":[107],"hence":[111],"referred":[112,155],"as":[114,124,157,181],"image":[115],"(IRC)":[118],"resulting":[121],"function":[123],"image-combined":[125],"response.":[127],"Two":[128],"different":[129],"IRC":[130,153],"schemes":[131],"are":[132],"proposed.":[133],"To":[134],"overcome":[135],"sometimes":[137],"very":[138],"high":[139],"computational":[140],"complexity":[141],"IRC,":[145],"derive":[147],"drastically":[149],"faster":[150],"time":[151],"algorithm":[154],"sampled":[158],"autocorrelation":[159],"impulse":[161],"(SACIR).":[163],"paper":[165],"concentrates":[166],"decimation,":[168],"but":[169],"analysis":[171],"proposed":[173],"methods":[174],"can":[175],"be":[176],"easily":[177],"applied":[178],"interpolation,":[180],"well.":[182]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}