{"id":"https://openalex.org/W1513566975","doi":"https://doi.org/10.1109/icassp.1985.1168464","title":"Design of filters for discrete short-time Fourier transform synthesis","display_name":"Design of filters for discrete short-time Fourier transform synthesis","publication_year":2005,"publication_date":"2005-03-23","ids":{"openalex":"https://openalex.org/W1513566975","doi":"https://doi.org/10.1109/icassp.1985.1168464","mag":"1513566975"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.1985.1168464","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.1985.1168464","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP '85. 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/A5017062415","display_name":"Z. Shpiro","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Z. Shpiro","raw_affiliation_strings":["Cailtalk Limited, Tel-Aviv, Israel","Calltalk Ltd., Tel-Aviv, Israel"],"affiliations":[{"raw_affiliation_string":"Cailtalk Limited, Tel-Aviv, Israel","institution_ids":[]},{"raw_affiliation_string":"Calltalk Ltd., Tel-Aviv, Israel","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5009813683","display_name":"D. Malah","orcid":"https://orcid.org/0009-0001-8310-7844"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"D. Malah","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5017062415"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.3179,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.52656818,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"10","issue":null,"first_page":"537","last_page":"540"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11034","display_name":"Digital Filter Design and Implementation","score":0.9986000061035156,"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":0.9986000061035156,"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/T11447","display_name":"Blind Source Separation Techniques","score":0.9970999956130981,"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/T11233","display_name":"Advanced Adaptive Filtering Techniques","score":0.9954000115394592,"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":0.6981972455978394},{"id":"https://openalex.org/keywords/discrete-fourier-transform","display_name":"Discrete Fourier transform (general)","score":0.6014214158058167},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.5649968385696411},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5539090037345886},{"id":"https://openalex.org/keywords/network-synthesis-filters","display_name":"Network synthesis filters","score":0.4738762080669403},{"id":"https://openalex.org/keywords/filter-design","display_name":"Filter design","score":0.46079808473587036},{"id":"https://openalex.org/keywords/fourier-transform","display_name":"Fourier transform","score":0.447664737701416},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4446335434913635},{"id":"https://openalex.org/keywords/filter-bank","display_name":"Filter bank","score":0.4413541555404663},{"id":"https://openalex.org/keywords/analogue-filter","display_name":"Analogue filter","score":0.4260998070240021},{"id":"https://openalex.org/keywords/algebraic-number","display_name":"Algebraic number","score":0.4243257939815521},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4137257933616638},{"id":"https://openalex.org/keywords/prototype-filter","display_name":"Prototype filter","score":0.4124758541584015},{"id":"https://openalex.org/keywords/fast-fourier-transform","display_name":"Fast Fourier transform","score":0.4107493758201599},{"id":"https://openalex.org/keywords/digital-filter","display_name":"Digital filter","score":0.3695523738861084},{"id":"https://openalex.org/keywords/fourier-analysis","display_name":"Fourier analysis","score":0.34030085802078247},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.2560606002807617},{"id":"https://openalex.org/keywords/fractional-fourier-transform","display_name":"Fractional Fourier transform","score":0.22044289112091064},{"id":"https://openalex.org/keywords/electronic-engineering","display_name":"Electronic engineering","score":0.10280120372772217}],"concepts":[{"id":"https://openalex.org/C96157337","wikidata":"https://www.wikidata.org/wiki/Q391639","display_name":"Polyphase system","level":2,"score":0.6981972455978394},{"id":"https://openalex.org/C57733114","wikidata":"https://www.wikidata.org/wiki/Q1006032","display_name":"Discrete Fourier transform (general)","level":5,"score":0.6014214158058167},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.5649968385696411},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5539090037345886},{"id":"https://openalex.org/C51297928","wikidata":"https://www.wikidata.org/wiki/Q7001207","display_name":"Network synthesis filters","level":2,"score":0.4738762080669403},{"id":"https://openalex.org/C22597639","wikidata":"https://www.wikidata.org/wiki/Q5449227","display_name":"Filter design","level":3,"score":0.46079808473587036},{"id":"https://openalex.org/C102519508","wikidata":"https://www.wikidata.org/wiki/Q6520159","display_name":"Fourier transform","level":2,"score":0.447664737701416},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4446335434913635},{"id":"https://openalex.org/C100515483","wikidata":"https://www.wikidata.org/wiki/Q3268235","display_name":"Filter bank","level":3,"score":0.4413541555404663},{"id":"https://openalex.org/C176046018","wikidata":"https://www.wikidata.org/wiki/Q359205","display_name":"Analogue filter","level":4,"score":0.4260998070240021},{"id":"https://openalex.org/C9376300","wikidata":"https://www.wikidata.org/wiki/Q168817","display_name":"Algebraic number","level":2,"score":0.4243257939815521},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4137257933616638},{"id":"https://openalex.org/C175742284","wikidata":"https://www.wikidata.org/wiki/Q1415537","display_name":"Prototype filter","level":4,"score":0.4124758541584015},{"id":"https://openalex.org/C75172450","wikidata":"https://www.wikidata.org/wiki/Q623950","display_name":"Fast Fourier transform","level":2,"score":0.4107493758201599},{"id":"https://openalex.org/C36390408","wikidata":"https://www.wikidata.org/wiki/Q1163067","display_name":"Digital filter","level":3,"score":0.3695523738861084},{"id":"https://openalex.org/C203024314","wikidata":"https://www.wikidata.org/wiki/Q1365258","display_name":"Fourier analysis","level":3,"score":0.34030085802078247},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.2560606002807617},{"id":"https://openalex.org/C76563020","wikidata":"https://www.wikidata.org/wiki/Q4817582","display_name":"Fractional Fourier transform","level":4,"score":0.22044289112091064},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.10280120372772217},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp.1985.1168464","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.1985.1168464","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP '85. 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":7,"referenced_works":["https://openalex.org/W1820016507","https://openalex.org/W1845967693","https://openalex.org/W1973119332","https://openalex.org/W2028561103","https://openalex.org/W2120847449","https://openalex.org/W2138196899","https://openalex.org/W3151844557"],"related_works":["https://openalex.org/W2537414839","https://openalex.org/W1980778204","https://openalex.org/W2199954716","https://openalex.org/W4231678179","https://openalex.org/W2950739756","https://openalex.org/W2109999029","https://openalex.org/W4240253764","https://openalex.org/W2061347413","https://openalex.org/W4253445384","https://openalex.org/W2138560624"],"abstract_inverted_index":{"In":[0],"this":[1,128],"paper":[2,129],"we":[3],"present":[4],"a":[5,15,177],"method":[6,39,161],"for":[7,20,135],"computing":[8],"the":[9,21,31,47,54,70,74,84,107,111,170,174,194,201],"synthesis":[10,49,196,202],"filter":[11,56,152,203],"(window)":[12,57],"needed":[13],"in":[14,25,127,150],"weighted":[16],"overlap-add":[17],"(WOLA)":[18],"scheme":[19],"reconstruction":[22,92],"of":[23,46,76,83,110,141,173,179,182,185,190],"signals":[24],"analysis/synthesis":[26],"systems":[27],"used":[28],"to":[29,69,96],"implement":[30],"discrete":[32],"short":[33],"time":[34],"Fourier":[35],"transform":[36,71],"(DSTFT).":[37],"The":[38,99,124,159,188],"is":[40,58,64,86,95,140,163,204],"based":[41],"on":[42],"an":[43,131],"algebraic":[44,160],"representation":[45],"analysis":[48,55,113,151],"process":[50],"and":[51,88,139,165],"assume":[52],"that":[53,60,80,89],"known,":[59],"its":[61],"length":[62],"N":[63,136,146],"larger":[65],"than":[66],"or":[67],"equal":[68],"size":[72],"(i.e.":[73],"number":[75],"frequency":[77,156],"bands)":[78],"M,":[79,138],"no":[81],"modification":[82],"DSTFT":[85],"performed,":[87],"exact":[90],"signal":[91],"(unity":[93],"system)":[94],"be":[97,103],"achieved.":[98],"last":[100],"condition":[101],"can":[102],"achieved":[104],"only":[105],"if":[106],"shift":[108],"R":[109,120,180],"sliding":[112],"window":[114],"satisfies":[115],"<tex":[116],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[117],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">l":[118],"\\leq":[119],"&lt;":[121],"M</tex>":[122],".":[123],"solution":[125,178],"presented":[126,162],"extends":[130],"earlier":[132],"result":[133],"obtained":[134],"=":[137],"practical":[142],"importance,":[143],"since":[144],"using":[145],">":[147],"M":[148],"results":[149],"banks":[153],"with":[154],"improved":[155],"band":[157],"separation.":[158],"simple":[164],"efficient":[166],"as":[167],"it":[168],"reduces":[169],"large":[171],"dimensionality":[172],"problem":[175],"into":[176],"sets":[181],"linear":[183],"equations":[184,192],"reduced":[186],"dimensions.":[187],"solutions":[189],"these":[191],"are":[193],"individual":[195],"polyphase":[197],"filters":[198],"from":[199],"which":[200],"constructed.":[205]},"counts_by_year":[{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
