{"id":"https://openalex.org/W3081922511","doi":"https://doi.org/10.1109/spcom50965.2020.9179546","title":"An Improved LSF-based Algorithm for Sinusoidal Frequency Estimation that Achieves Maximum Likelihood Performance","display_name":"An Improved LSF-based Algorithm for Sinusoidal Frequency Estimation that Achieves Maximum Likelihood Performance","publication_year":2020,"publication_date":"2020-07-01","ids":{"openalex":"https://openalex.org/W3081922511","doi":"https://doi.org/10.1109/spcom50965.2020.9179546","mag":"3081922511"},"language":"en","primary_location":{"id":"doi:10.1109/spcom50965.2020.9179546","is_oa":false,"landing_page_url":"https://doi.org/10.1109/spcom50965.2020.9179546","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 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/A5113290929","display_name":"P. Vishnu","orcid":null},"institutions":[{"id":"https://openalex.org/I24676775","display_name":"Indian Institute of Technology Madras","ror":"https://ror.org/03v0r5n49","country_code":"IN","type":"facility","lineage":["https://openalex.org/I24676775"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"P. Vishnu","raw_affiliation_strings":["Department of Electrical Engineering, IIT Madras, Chennai"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, IIT Madras, Chennai","institution_ids":["https://openalex.org/I24676775"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5022244918","display_name":"C.S. Ramalingam","orcid":"https://orcid.org/0000-0003-1234-1008"},"institutions":[{"id":"https://openalex.org/I24676775","display_name":"Indian Institute of Technology Madras","ror":"https://ror.org/03v0r5n49","country_code":"IN","type":"facility","lineage":["https://openalex.org/I24676775"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"C.S. Ramalingam","raw_affiliation_strings":["Department of Electrical Engineering, IIT Madras, Chennai"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, IIT Madras, Chennai","institution_ids":["https://openalex.org/I24676775"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5113290929"],"corresponding_institution_ids":["https://openalex.org/I24676775"],"apc_list":null,"apc_paid":null,"fwci":0.6061,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.66629361,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"25","issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10860","display_name":"Speech and Audio Processing","score":0.9995999932289124,"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":0.9995999932289124,"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/T10931","display_name":"Direction-of-Arrival Estimation Techniques","score":0.9995999932289124,"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":0.9991000294685364,"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/sinusoid","display_name":"Sinusoid","score":0.7735441327095032},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.7017022371292114},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5784437656402588},{"id":"https://openalex.org/keywords/reduction","display_name":"Reduction (mathematics)","score":0.5769246816635132},{"id":"https://openalex.org/keywords/maximum-likelihood","display_name":"Maximum likelihood","score":0.5497005581855774},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.33193284273147583},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.18242964148521423}],"concepts":[{"id":"https://openalex.org/C2776417487","wikidata":"https://www.wikidata.org/wiki/Q103142","display_name":"Sinusoid","level":2,"score":0.7735441327095032},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.7017022371292114},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5784437656402588},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.5769246816635132},{"id":"https://openalex.org/C49781872","wikidata":"https://www.wikidata.org/wiki/Q1045555","display_name":"Maximum likelihood","level":2,"score":0.5497005581855774},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.33193284273147583},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.18242964148521423},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/spcom50965.2020.9179546","is_oa":false,"landing_page_url":"https://doi.org/10.1109/spcom50965.2020.9179546","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 International Conference on Signal Processing and Communications (SPCOM)","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":14,"referenced_works":["https://openalex.org/W210359992","https://openalex.org/W1756862185","https://openalex.org/W1999104815","https://openalex.org/W2002377668","https://openalex.org/W2033332370","https://openalex.org/W2052296575","https://openalex.org/W2088362548","https://openalex.org/W2089957712","https://openalex.org/W2098542973","https://openalex.org/W2135772462","https://openalex.org/W2321087379","https://openalex.org/W2897487252","https://openalex.org/W2949929238","https://openalex.org/W4234640999"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W4306957617","https://openalex.org/W2364109525","https://openalex.org/W1979597421","https://openalex.org/W2007980826","https://openalex.org/W2051487156","https://openalex.org/W2061531152","https://openalex.org/W3002753104","https://openalex.org/W2077600819","https://openalex.org/W2352590024"],"abstract_inverted_index":{"In":[0,34],"this":[1,35],"paper":[2,36],"we":[3,37,91,112],"propose":[4,38],"a":[5,140],"method":[6,123],"for":[7],"sinusoidal":[8],"frequency":[9],"estimation":[10],"that":[11,19,61,129],"improves":[12],"upon":[13],"our":[14,114],"previously":[15],"proposed":[16,98,122],"LSF-based":[17],"algorithm":[18],"used":[20],"at":[21,50],"most":[22,51],"5p":[23],"candidate":[24,47],"points,":[25,53],"where":[26],"p":[27],"is":[28,79,89,134],"the":[29,39,44,56,67,77,84,87,95,117,121,125],"number":[30,45],"of":[31,46,62,130],"sinusoids":[32],"present.":[33],"following":[40],"improvements:":[41],"(i)":[42],"reduced":[43,55,66],"frequencies":[48],"to":[49,59,72,104],"2p":[52],"(ii)":[54],"method's":[57],"threshold":[58,88,127],"equal":[60],"ML,":[63],"and":[64],"(iii)":[65],"computational":[68],"burden":[69],"by":[70],"switching":[71],"methods":[73],"like":[74],"ESPRIT":[75],"when":[76,137],"SNR":[78,85],"above":[80],"threshold.":[81],"Since":[82],"neither":[83],"nor":[86],"known,":[90],"estimate":[92],"them":[93],"from":[94],"data.":[96],"The":[97],"reduction-in-threshold":[99],"step":[100],"can":[101],"be":[102],"applied":[103],"EPUMA":[105],"(proposed":[106],"Qian":[107],"et":[108],"al.),":[109],"with":[110],"which":[111],"compare":[113],"results.":[115],"For":[116],"well-known":[118],"two-sinusoid":[119],"example":[120],"has":[124],"same":[126],"as":[128],"ML;":[131],"ML":[132],"performance":[133],"also":[135],"achieved":[136],"tested":[138],"on":[139],"new,":[141],"three-sinusoid":[142],"example.":[143]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}