{"id":"https://openalex.org/W2160449042","doi":"https://doi.org/10.1109/apccas.2008.4746191","title":"Efficient time varying frequency tracking using recursive estimation","display_name":"Efficient time varying frequency tracking using recursive estimation","publication_year":2008,"publication_date":"2008-11-01","ids":{"openalex":"https://openalex.org/W2160449042","doi":"https://doi.org/10.1109/apccas.2008.4746191","mag":"2160449042"},"language":"en","primary_location":{"id":"doi:10.1109/apccas.2008.4746191","is_oa":false,"landing_page_url":"https://doi.org/10.1109/apccas.2008.4746191","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"APCCAS 2008 - 2008 IEEE Asia Pacific Conference on Circuits and Systems","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/A5029232546","display_name":"S.S. Abeysekera","orcid":null},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":true,"raw_author_name":"Saman S. Abeysekera","raw_affiliation_strings":["School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore"],"affiliations":[{"raw_affiliation_string":"School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore","institution_ids":["https://openalex.org/I172675005"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5029232546"],"corresponding_institution_ids":["https://openalex.org/I172675005"],"apc_list":null,"apc_paid":null,"fwci":1.1233,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.80156503,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"992","last_page":"995"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11233","display_name":"Advanced Adaptive Filtering Techniques","score":0.9987999796867371,"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"}},"topics":[{"id":"https://openalex.org/T11233","display_name":"Advanced Adaptive Filtering Techniques","score":0.9987999796867371,"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"}},{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation Techniques","score":0.9984999895095825,"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/T12300","display_name":"Advanced Electrical Measurement Techniques","score":0.9965000152587891,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6624994874000549},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.6016820073127747},{"id":"https://openalex.org/keywords/time\u2013frequency-analysis","display_name":"Time\u2013frequency analysis","score":0.5579278469085693},{"id":"https://openalex.org/keywords/compensation","display_name":"Compensation (psychology)","score":0.5481600165367126},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5443070530891418},{"id":"https://openalex.org/keywords/inverse","display_name":"Inverse","score":0.42013972997665405},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.4055023193359375},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.22702854871749878},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.12718099355697632},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.11583220958709717}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6624994874000549},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.6016820073127747},{"id":"https://openalex.org/C142433447","wikidata":"https://www.wikidata.org/wiki/Q7806653","display_name":"Time\u2013frequency analysis","level":3,"score":0.5579278469085693},{"id":"https://openalex.org/C2780023022","wikidata":"https://www.wikidata.org/wiki/Q1338171","display_name":"Compensation (psychology)","level":2,"score":0.5481600165367126},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5443070530891418},{"id":"https://openalex.org/C207467116","wikidata":"https://www.wikidata.org/wiki/Q4385666","display_name":"Inverse","level":2,"score":0.42013972997665405},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.4055023193359375},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.22702854871749878},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.12718099355697632},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.11583220958709717},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.0},{"id":"https://openalex.org/C11171543","wikidata":"https://www.wikidata.org/wiki/Q41630","display_name":"Psychoanalysis","level":1,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/apccas.2008.4746191","is_oa":false,"landing_page_url":"https://doi.org/10.1109/apccas.2008.4746191","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"APCCAS 2008 - 2008 IEEE Asia Pacific Conference on Circuits and Systems","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":14,"referenced_works":["https://openalex.org/W1482969623","https://openalex.org/W1510392950","https://openalex.org/W1543812582","https://openalex.org/W1592423066","https://openalex.org/W1685044542","https://openalex.org/W2001188690","https://openalex.org/W2047960471","https://openalex.org/W2108794019","https://openalex.org/W2114166389","https://openalex.org/W2122043755","https://openalex.org/W2128582577","https://openalex.org/W2132596817","https://openalex.org/W2535400362","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W2084086966","https://openalex.org/W2379084545","https://openalex.org/W1982160337","https://openalex.org/W1971380437","https://openalex.org/W2141691317","https://openalex.org/W1983548084","https://openalex.org/W2160609742","https://openalex.org/W2110846987","https://openalex.org/W2979526210","https://openalex.org/W2023861399"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"performance":[3],"results":[4],"of":[5,24,73],"an":[6,58],"algorithm":[7,17],"for":[8,29,41,71],"efficient":[9,59],"time":[10,76],"varying":[11,77],"frequency":[12,44,67],"estimation":[13,68],"and":[14,69],"tracking.":[15],"The":[16,46],"is":[18,27,39,80],"implemented":[19,56],"with":[20,75],"a":[21],"small":[22],"number":[23],"multiplications,":[25],"which":[26],"important":[28],"most":[30],"hardware":[31],"implementations.":[32],"A":[33,62],"correlation":[34],"based":[35],"Pulse-Pair":[36],"(PP)":[37],"method":[38,48],"used":[40],"the":[42,84],"initial":[43],"estimation.":[45],"PP":[47],"requires":[49],"inverse":[50],"tan":[51],"operation":[52],"that":[53],"can":[54],"be":[55],"using":[57],"recursive":[60],"technique.":[61],"simulation":[63],"example":[64],"showing":[65],"proper":[66],"compensation":[70],"tracking":[72],"signals":[74],"instantaneous":[78],"frequencies":[79],"also":[81],"presented":[82],"in":[83],"paper.":[85]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
