{"id":"https://openalex.org/W2005352521","doi":"https://doi.org/10.1109/lgrs.2015.2392111","title":"Adaptive Time\u2013Frequency Peak Filtering Based on Convex Sets and the Viterbi Algorithm","display_name":"Adaptive Time\u2013Frequency Peak Filtering Based on Convex Sets and the Viterbi Algorithm","publication_year":2015,"publication_date":"2015-02-11","ids":{"openalex":"https://openalex.org/W2005352521","doi":"https://doi.org/10.1109/lgrs.2015.2392111","mag":"2005352521"},"language":"en","primary_location":{"id":"doi:10.1109/lgrs.2015.2392111","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2015.2392111","pdf_url":null,"source":{"id":"https://openalex.org/S126920919","display_name":"IEEE Geoscience and Remote Sensing Letters","issn_l":"1545-598X","issn":["1545-598X","1558-0571"],"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 Geoscience and Remote Sensing Letters","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/A5101512946","display_name":"Qian Zeng","orcid":"https://orcid.org/0000-0002-4568-9804"},"institutions":[{"id":"https://openalex.org/I194450716","display_name":"Jilin University","ror":"https://ror.org/00js3aw79","country_code":"CN","type":"education","lineage":["https://openalex.org/I194450716"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Qian Zeng","raw_affiliation_strings":["Department of Communication Engineering, Jilin University, Changchun, China","Dept. of Commun. Eng., Jilin Univ., Changchun, , China"],"affiliations":[{"raw_affiliation_string":"Department of Communication Engineering, Jilin University, Changchun, China","institution_ids":["https://openalex.org/I194450716"]},{"raw_affiliation_string":"Dept. of Commun. Eng., Jilin Univ., Changchun, , China","institution_ids":["https://openalex.org/I194450716"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012983810","display_name":"Yue Li","orcid":"https://orcid.org/0000-0001-9050-7339"},"institutions":[{"id":"https://openalex.org/I194450716","display_name":"Jilin University","ror":"https://ror.org/00js3aw79","country_code":"CN","type":"education","lineage":["https://openalex.org/I194450716"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yue Li","raw_affiliation_strings":["Department of Communication Engineering, Jilin University, Changchun, China","Dept. of Commun. Eng., Jilin Univ., Changchun, , China"],"affiliations":[{"raw_affiliation_string":"Department of Communication Engineering, Jilin University, Changchun, China","institution_ids":["https://openalex.org/I194450716"]},{"raw_affiliation_string":"Dept. of Commun. Eng., Jilin Univ., Changchun, , China","institution_ids":["https://openalex.org/I194450716"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5002290587","display_name":"Xinhuan Deng","orcid":null},"institutions":[{"id":"https://openalex.org/I194450716","display_name":"Jilin University","ror":"https://ror.org/00js3aw79","country_code":"CN","type":"education","lineage":["https://openalex.org/I194450716"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinhuan Deng","raw_affiliation_strings":["Department of Communication Engineering, Jilin University, Changchun, China","Dept. of Commun. Eng., Jilin Univ., Changchun, , China"],"affiliations":[{"raw_affiliation_string":"Department of Communication Engineering, Jilin University, Changchun, China","institution_ids":["https://openalex.org/I194450716"]},{"raw_affiliation_string":"Dept. of Commun. Eng., Jilin Univ., Changchun, , China","institution_ids":["https://openalex.org/I194450716"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5101512946"],"corresponding_institution_ids":["https://openalex.org/I194450716"],"apc_list":null,"apc_paid":null,"fwci":1.3464,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.82977732,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"12","issue":"6","first_page":"1267","last_page":"1271"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10220","display_name":"Machine Fault Diagnosis Techniques","score":0.9986000061035156,"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"}},"topics":[{"id":"https://openalex.org/T10220","display_name":"Machine Fault Diagnosis Techniques","score":0.9986000061035156,"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"}},{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9983000159263611,"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/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9970999956130981,"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/algorithm","display_name":"Algorithm","score":0.747660756111145},{"id":"https://openalex.org/keywords/instantaneous-phase","display_name":"Instantaneous phase","score":0.5608254075050354},{"id":"https://openalex.org/keywords/viterbi-algorithm","display_name":"Viterbi algorithm","score":0.5221357941627502},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.5089900493621826},{"id":"https://openalex.org/keywords/time\u2013frequency-analysis","display_name":"Time\u2013frequency analysis","score":0.4782359004020691},{"id":"https://openalex.org/keywords/soft-output-viterbi-algorithm","display_name":"Soft output Viterbi algorithm","score":0.47199180722236633},{"id":"https://openalex.org/keywords/spectrogram","display_name":"Spectrogram","score":0.4637923836708069},{"id":"https://openalex.org/keywords/convex-optimization","display_name":"Convex optimization","score":0.42268940806388855},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4210509955883026},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.41420218348503113},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.24147841334342957},{"id":"https://openalex.org/keywords/regular-polygon","display_name":"Regular polygon","score":0.1930714249610901},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.10272064805030823}],"concepts":[{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.747660756111145},{"id":"https://openalex.org/C137798554","wikidata":"https://www.wikidata.org/wiki/Q6038852","display_name":"Instantaneous phase","level":3,"score":0.5608254075050354},{"id":"https://openalex.org/C60582962","wikidata":"https://www.wikidata.org/wiki/Q83886","display_name":"Viterbi algorithm","level":3,"score":0.5221357941627502},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5089900493621826},{"id":"https://openalex.org/C142433447","wikidata":"https://www.wikidata.org/wiki/Q7806653","display_name":"Time\u2013frequency analysis","level":3,"score":0.4782359004020691},{"id":"https://openalex.org/C130319729","wikidata":"https://www.wikidata.org/wiki/Q83886","display_name":"Soft output Viterbi algorithm","level":5,"score":0.47199180722236633},{"id":"https://openalex.org/C45273575","wikidata":"https://www.wikidata.org/wiki/Q578970","display_name":"Spectrogram","level":2,"score":0.4637923836708069},{"id":"https://openalex.org/C157972887","wikidata":"https://www.wikidata.org/wiki/Q463359","display_name":"Convex optimization","level":3,"score":0.42268940806388855},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4210509955883026},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.41420218348503113},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.24147841334342957},{"id":"https://openalex.org/C112680207","wikidata":"https://www.wikidata.org/wiki/Q714886","display_name":"Regular polygon","level":2,"score":0.1930714249610901},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.10272064805030823},{"id":"https://openalex.org/C193969084","wikidata":"https://www.wikidata.org/wiki/Q7452500","display_name":"Sequential decoding","level":4,"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/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.0},{"id":"https://openalex.org/C157125643","wikidata":"https://www.wikidata.org/wiki/Q884707","display_name":"Block code","level":3,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lgrs.2015.2392111","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2015.2392111","pdf_url":null,"source":{"id":"https://openalex.org/S126920919","display_name":"IEEE Geoscience and Remote Sensing Letters","issn_l":"1545-598X","issn":["1545-598X","1558-0571"],"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 Geoscience and Remote Sensing Letters","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1445776851","display_name":null,"funder_award_id":"41274118","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3296617212","display_name":null,"funder_award_id":"41304085","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8641294594","display_name":null,"funder_award_id":"41130421","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W90669972","https://openalex.org/W1982163941","https://openalex.org/W1995034601","https://openalex.org/W2033875610","https://openalex.org/W2034194629","https://openalex.org/W2054198069","https://openalex.org/W2071750919","https://openalex.org/W2072743463","https://openalex.org/W2089877848","https://openalex.org/W2098352720","https://openalex.org/W2102960634","https://openalex.org/W2108529223","https://openalex.org/W2126349204","https://openalex.org/W2132085292","https://openalex.org/W2142384583","https://openalex.org/W2164549078","https://openalex.org/W2166427870","https://openalex.org/W2168313275","https://openalex.org/W2296319761","https://openalex.org/W2357428686","https://openalex.org/W2380785643","https://openalex.org/W3186605155","https://openalex.org/W4250589301","https://openalex.org/W6603577305","https://openalex.org/W7029200591"],"related_works":["https://openalex.org/W2062804535","https://openalex.org/W2993094530","https://openalex.org/W2143297499","https://openalex.org/W2767243160","https://openalex.org/W2386939465","https://openalex.org/W2073817053","https://openalex.org/W1915619113","https://openalex.org/W2031496496","https://openalex.org/W2067600131","https://openalex.org/W2138028169"],"abstract_inverted_index":{"The":[0],"time-frequency":[1],"peak":[2],"filtering":[3],"(TFPF)":[4],"uses":[5],"the":[6,13,38,49,57,87,100,104,127,138,155],"instantaneous":[7],"frequency":[8,58,66],"estimation":[9],"technique":[10],"based":[11],"on":[12],"Wigner-Ville":[14],"distribution":[15],"(WVD)":[16],"to":[17,27,108,116,131],"recover":[18],"signal":[19,150],"corrupted":[20],"by":[21,37,126],"random":[22,132],"noise.":[23],"TFPF":[24,46,91],"is":[25,35],"equivalent":[26],"a":[28,75,110,117],"time-invariant":[29],"low-pass":[30],"filter":[31],"whose":[32],"impulse":[33],"response":[34],"determined":[36],"window":[39],"function":[40],"used":[41],"in":[42,154],"windowed":[43],"WVD.":[44],"Thus,":[45],"cannot":[47],"track":[48],"quick":[50],"changes":[51],"of":[52,60,90,140],"signal,":[53],"which":[54,122],"means":[55],"that":[56],"components":[59],"signals":[61],"higher":[62,144],"than":[63,153],"some":[64],"cutoff":[65],"are":[67],"attenuated.":[68],"To":[69],"solve":[70],"this":[71,82],"problem,":[72,121],"we":[73,84,98],"present":[74],"novel":[76],"adaptive":[77],"algorithm":[78,142],"for":[79],"TFPF.":[80,157],"In":[81],"algorithm,":[83],"first":[85],"construct":[86],"convex":[88,106,119],"set":[89],"estimations":[92,102],"at":[93],"each":[94],"sample":[95],"index.":[96],"Subsequently,":[97],"search":[99],"optimal":[101],"from":[103],"sequential":[105],"sets":[107],"minimize":[109],"quadratic":[111],"functional":[112],"globally.":[113],"This":[114],"leads":[115],"box-constrained":[118],"optimization":[120],"can":[123],"be":[124],"solved":[125],"Viterbi":[128],"algorithm.":[129],"Applications":[130],"seismic":[133],"noise":[134],"attenuation":[135],"have":[136],"demonstrated":[137],"validity":[139],"our":[141],"with":[143],"output":[145],"signal-to-noise":[146],"ratio":[147],"and":[148],"less":[149],"information":[151],"loss":[152],"traditional":[156]},"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},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":1},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
