{"id":"https://openalex.org/W2947475513","doi":"https://doi.org/10.1109/spcom.2018.8724474","title":"A Novel Scaling Criterion for Optimal Trade-off Between Time and Frequency Resolution in S-transform","display_name":"A Novel Scaling Criterion for Optimal Trade-off Between Time and Frequency Resolution in S-transform","publication_year":2018,"publication_date":"2018-07-01","ids":{"openalex":"https://openalex.org/W2947475513","doi":"https://doi.org/10.1109/spcom.2018.8724474","mag":"2947475513"},"language":"en","primary_location":{"id":"doi:10.1109/spcom.2018.8724474","is_oa":false,"landing_page_url":"https://doi.org/10.1109/spcom.2018.8724474","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 International Conference on Signal Processing and Communications (SPCOM)","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/A5100667383","display_name":"Neha Singh","orcid":"https://orcid.org/0000-0002-0023-606X"},"institutions":[{"id":"https://openalex.org/I154851008","display_name":"Indian Institute of Technology Roorkee","ror":"https://ror.org/00582g326","country_code":"IN","type":"education","lineage":["https://openalex.org/I154851008"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Neha Singh","raw_affiliation_strings":["Electronics and Communication Engineering, Indian Institute of Technology, Roorkee, Haridwar, Uttarakhand, India"],"affiliations":[{"raw_affiliation_string":"Electronics and Communication Engineering, Indian Institute of Technology, Roorkee, Haridwar, Uttarakhand, India","institution_ids":["https://openalex.org/I154851008"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5030605875","display_name":"Pyari Mohan Pradhan","orcid":"https://orcid.org/0000-0002-6070-5577"},"institutions":[{"id":"https://openalex.org/I154851008","display_name":"Indian Institute of Technology Roorkee","ror":"https://ror.org/00582g326","country_code":"IN","type":"education","lineage":["https://openalex.org/I154851008"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"P. M. Pradhan","raw_affiliation_strings":["Electronics and Communication Engineering, Indian Institute of Technology, Roorkee, Haridwar, Uttarakhand, India"],"affiliations":[{"raw_affiliation_string":"Electronics and Communication Engineering, Indian Institute of Technology, Roorkee, Haridwar, Uttarakhand, India","institution_ids":["https://openalex.org/I154851008"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5100667383"],"corresponding_institution_ids":["https://openalex.org/I154851008"],"apc_list":null,"apc_paid":null,"fwci":0.1651,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.50851953,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":93},"biblio":{"volume":"67","issue":null,"first_page":"212","last_page":"216"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10860","display_name":"Speech and Audio Processing","score":0.9944000244140625,"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/T10860","display_name":"Speech and Audio Processing","score":0.9944000244140625,"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":0.9805999994277954,"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/T10220","display_name":"Machine Fault Diagnosis Techniques","score":0.9793000221252441,"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/scaling","display_name":"Scaling","score":0.8311775922775269},{"id":"https://openalex.org/keywords/frequency-domain","display_name":"Frequency domain","score":0.7194263339042664},{"id":"https://openalex.org/keywords/window-function","display_name":"Window function","score":0.5784718990325928},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5329884886741638},{"id":"https://openalex.org/keywords/time-domain","display_name":"Time domain","score":0.5064150094985962},{"id":"https://openalex.org/keywords/time\u2013frequency-analysis","display_name":"Time\u2013frequency analysis","score":0.4960983693599701},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.4927103817462921},{"id":"https://openalex.org/keywords/frequency-scaling","display_name":"Frequency scaling","score":0.4631243646144867},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.45188602805137634},{"id":"https://openalex.org/keywords/tangent","display_name":"Tangent","score":0.4234200716018677},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.41026031970977783},{"id":"https://openalex.org/keywords/spectral-density","display_name":"Spectral density","score":0.2815622091293335},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.27602419257164},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.15398842096328735},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.11692225933074951},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.10442376136779785},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.09110009670257568}],"concepts":[{"id":"https://openalex.org/C99844830","wikidata":"https://www.wikidata.org/wiki/Q102441924","display_name":"Scaling","level":2,"score":0.8311775922775269},{"id":"https://openalex.org/C19118579","wikidata":"https://www.wikidata.org/wiki/Q786423","display_name":"Frequency domain","level":2,"score":0.7194263339042664},{"id":"https://openalex.org/C140101238","wikidata":"https://www.wikidata.org/wiki/Q1404885","display_name":"Window function","level":3,"score":0.5784718990325928},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5329884886741638},{"id":"https://openalex.org/C103824480","wikidata":"https://www.wikidata.org/wiki/Q185889","display_name":"Time domain","level":2,"score":0.5064150094985962},{"id":"https://openalex.org/C142433447","wikidata":"https://www.wikidata.org/wiki/Q7806653","display_name":"Time\u2013frequency analysis","level":3,"score":0.4960983693599701},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.4927103817462921},{"id":"https://openalex.org/C157742956","wikidata":"https://www.wikidata.org/wiki/Q3237776","display_name":"Frequency scaling","level":3,"score":0.4631243646144867},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.45188602805137634},{"id":"https://openalex.org/C138187205","wikidata":"https://www.wikidata.org/wiki/Q131251","display_name":"Tangent","level":2,"score":0.4234200716018677},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.41026031970977783},{"id":"https://openalex.org/C168110828","wikidata":"https://www.wikidata.org/wiki/Q1331626","display_name":"Spectral density","level":2,"score":0.2815622091293335},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.27602419257164},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.15398842096328735},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.11692225933074951},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.10442376136779785},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.09110009670257568},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/spcom.2018.8724474","is_oa":false,"landing_page_url":"https://doi.org/10.1109/spcom.2018.8724474","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 International Conference on Signal Processing and Communications (SPCOM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"No poverty","id":"https://metadata.un.org/sdg/1","score":0.47999998927116394}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W1986754283","https://openalex.org/W1990141548","https://openalex.org/W2012158430","https://openalex.org/W2048508162","https://openalex.org/W2058165543","https://openalex.org/W2137201690","https://openalex.org/W2148067661","https://openalex.org/W2164217869","https://openalex.org/W2461851250","https://openalex.org/W2607687706","https://openalex.org/W2765698362"],"related_works":["https://openalex.org/W2025656090","https://openalex.org/W2024733750","https://openalex.org/W2388951617","https://openalex.org/W4366087369","https://openalex.org/W2906270673","https://openalex.org/W2390244057","https://openalex.org/W4316467947","https://openalex.org/W2355447608","https://openalex.org/W4379116366","https://openalex.org/W2392123541"],"abstract_inverted_index":{"S-transform":[0],"(ST)":[1],"maps":[2],"a":[3,9,16,92,115,141],"one-dimensional":[4],"time":[5,82,106,128,166],"domain":[6],"signal":[7,143],"into":[8],"two-dimensional":[10],"time-frequency":[11],"distribution":[12],"(TFD).":[13],"ST":[14,28],"uses":[15,114],"scalable":[17],"Gaussian":[18,124],"window":[19,102,125],"for":[20,34,86],"multiresolution":[21],"analysis.":[22],"The":[23,72,110,132,149],"major":[24],"drawback":[25],"of":[26,122,134,155,162],"conventional":[27],"is":[29,41,96,138],"its":[30],"poor":[31],"frequency":[32,38,48,84,108,130,168],"resolution":[33,85,169],"mid":[35],"and":[36,69,83,107,129,167],"high":[37],"voices.":[39,88],"This":[40],"primarily":[42],"due":[43],"to":[44,77,118],"linear":[45,65],"scaling":[46,53,68,94,112,136,158],"in":[47,60,105,126,160,170],"domain.":[49,109,131],"To":[50,89],"improve":[51],"the":[52,120,123,153,156,163],"criterion,":[54],"various":[55],"schemes":[56],"have":[57],"been":[58],"proposed":[59,97,111,135,157],"literature":[61],"such":[62],"as":[63],"modified":[64],"scaling,":[66],"power":[67,146],"sigmoid":[70],"scaling.":[71],"existing":[73],"criteria":[74],"are":[75],"unable":[76],"provide":[78,100],"fair":[79],"trade-off":[80,164],"between":[81,165],"all":[87],"this":[90],"extent,":[91],"novel":[93],"criterion":[95,113],"which":[98],"can":[99],"proportional":[101],"width":[103,121],"variation":[104],"tangent":[116],"function":[117],"scale":[119],"both":[127],"performance":[133],"approach":[137,159],"examined":[139],"using":[140],"synthetic":[142],"having":[144],"multiple":[145],"quality":[147],"disturbances.":[148],"simulation":[150],"results":[151],"indicate":[152],"superiority":[154],"terms":[161],"TFD.":[171]},"counts_by_year":[{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
