{"id":"https://openalex.org/W4213456859","doi":"https://doi.org/10.1109/msp.2021.3126565","title":"Synthesis of Fast-Decaying Window Functions [Lecture Notes]","display_name":"Synthesis of Fast-Decaying Window Functions [Lecture Notes]","publication_year":2022,"publication_date":"2022-02-24","ids":{"openalex":"https://openalex.org/W4213456859","doi":"https://doi.org/10.1109/msp.2021.3126565"},"language":"en","primary_location":{"id":"doi:10.1109/msp.2021.3126565","is_oa":false,"landing_page_url":"https://doi.org/10.1109/msp.2021.3126565","pdf_url":null,"source":{"id":"https://openalex.org/S120977877","display_name":"IEEE Signal Processing Magazine","issn_l":"1053-5888","issn":["1053-5888","1558-0792"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Signal Processing Magazine","raw_type":"journal-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/A5087942992","display_name":"Raghavendra G. Kulkarni","orcid":"https://orcid.org/0000-0001-7868-1473"},"institutions":[{"id":"https://openalex.org/I196608512","display_name":"PES University","ror":"https://ror.org/05m169e78","country_code":"IN","type":"education","lineage":["https://openalex.org/I196608512"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Raghavendra G. Kulkarni","raw_affiliation_strings":["Department of Electronics & Communication Engineering, PES University, Bengaluru, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electronics & Communication Engineering, PES University, Bengaluru, India","institution_ids":["https://openalex.org/I196608512"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5087942992"],"corresponding_institution_ids":["https://openalex.org/I196608512"],"apc_list":null,"apc_paid":null,"fwci":0.5215,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.57333067,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"39","issue":"2","first_page":"17","last_page":"23"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12300","display_name":"Advanced Electrical Measurement Techniques","score":0.9991999864578247,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12300","display_name":"Advanced Electrical Measurement Techniques","score":0.9991999864578247,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10534","display_name":"Structural Health Monitoring Techniques","score":0.9968000054359436,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9825999736785889,"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/window-function","display_name":"Window function","score":0.6095461845397949},{"id":"https://openalex.org/keywords/window","display_name":"Window (computing)","score":0.5330430865287781},{"id":"https://openalex.org/keywords/phasor","display_name":"Phasor","score":0.5323641300201416},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.5142059326171875},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.5098718404769897},{"id":"https://openalex.org/keywords/type","display_name":"Type (biology)","score":0.4821597933769226},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4692889153957367},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.33822375535964966},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.15823540091514587},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.07137665152549744},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.03938785195350647}],"concepts":[{"id":"https://openalex.org/C140101238","wikidata":"https://www.wikidata.org/wiki/Q1404885","display_name":"Window function","level":3,"score":0.6095461845397949},{"id":"https://openalex.org/C2778751112","wikidata":"https://www.wikidata.org/wiki/Q835016","display_name":"Window (computing)","level":2,"score":0.5330430865287781},{"id":"https://openalex.org/C176605952","wikidata":"https://www.wikidata.org/wiki/Q827674","display_name":"Phasor","level":4,"score":0.5323641300201416},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5142059326171875},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.5098718404769897},{"id":"https://openalex.org/C2777299769","wikidata":"https://www.wikidata.org/wiki/Q3707858","display_name":"Type (biology)","level":2,"score":0.4821597933769226},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4692889153957367},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.33822375535964966},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.15823540091514587},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.07137665152549744},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.03938785195350647},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"score":0.0},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.0},{"id":"https://openalex.org/C89227174","wikidata":"https://www.wikidata.org/wiki/Q2388981","display_name":"Electric power system","level":3,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C168110828","wikidata":"https://www.wikidata.org/wiki/Q1331626","display_name":"Spectral density","level":2,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/msp.2021.3126565","is_oa":false,"landing_page_url":"https://doi.org/10.1109/msp.2021.3126565","pdf_url":null,"source":{"id":"https://openalex.org/S120977877","display_name":"IEEE Signal Processing Magazine","issn_l":"1053-5888","issn":["1053-5888","1558-0792"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Signal Processing Magazine","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W1968382898","https://openalex.org/W1980747811","https://openalex.org/W1999810742","https://openalex.org/W2028063064","https://openalex.org/W2060365990","https://openalex.org/W2111460811","https://openalex.org/W2160502247","https://openalex.org/W2897809491","https://openalex.org/W2953852563","https://openalex.org/W2963989261","https://openalex.org/W3032751126","https://openalex.org/W3097437572"],"related_works":["https://openalex.org/W2374693230","https://openalex.org/W2128379799","https://openalex.org/W1989391622","https://openalex.org/W2378706067","https://openalex.org/W2386955829","https://openalex.org/W2168098921","https://openalex.org/W2363763575","https://openalex.org/W4211056306","https://openalex.org/W2900933804","https://openalex.org/W2962832989"],"abstract_inverted_index":{"A":[0,53],"window":[1,23,55,126],"function":[2,6,60],"is":[3,8],"a":[4,58],"mathematical":[5],"that":[7],"zero":[9],"valued":[10],"outside":[11],"some":[12],"chosen":[13],"interval[1],[2].":[14],"For":[15],"applications":[16,42,94],"like":[17,43],"filtering,":[18],"detection,":[19],"and":[20,37,45,113,150],"estimation,":[21],"the":[22,26,63,74,81,85,105,114,118,124,130],"functions":[24,127],"take":[25],"form":[27],"of":[28,76,110,123],"limited":[29,50],"time":[30],"functions,":[31],"which":[32],"are":[33,49,87,95,133],"in":[34,65,70,73,84],"general":[35],"real":[36],"even":[38],"functions[3],[4],":[39],"while":[40],"for":[41,61,92,108,116],"beamforming":[44],"image":[46],"processing,":[47],"they":[48],"spatial":[51,54],"functions.":[52],"can":[56],"be":[57],"complex":[59,88],"optimizing":[62],"beams":[64],"magnitude":[66],"as":[67,69,72],"well":[68],"phase,":[71],"case":[75],"certain":[77],"antenna":[78],"arrays,":[79],"where":[80],"phasor":[82],"currents":[83],"array":[86],"numbers[5].":[89],"The":[90],"windows":[91,146],"filtering":[93],"broadly":[96],"categorized":[97],"into":[98],"two":[99],"types":[100],"based":[101],"on":[102],"their":[103],"usage:":[104],"ones":[106,115],"designed":[107],"suppression":[109],"cochannel":[111],"interference":[112],"suppressing":[117],"far-off":[119],"harmonic":[120],"components[2],[3],[6].":[121],"Some":[122],"recent":[125],"picked":[128],"from":[129],"exhaustive":[131],"literature":[132],"generalized":[134],"normal":[135],"windows,":[136,139,142,144],"confined":[137],"Gaussian":[138],"hyperbolic":[140],"cosine":[141,145],"polynomial":[143],"with":[147],"coefficient":[148],"optimization,":[149],"sine":[151],"windows[7]\u2013[12].":[152]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2}],"updated_date":"2026-07-29T09:40:50.615796","created_date":"2025-10-10T00:00:00"}