{"id":"https://openalex.org/W4389169649","doi":"https://doi.org/10.1109/lsp.2023.3338057","title":"A Low Complexity Estimator of Hyperbolic Frequency Modulated Signals","display_name":"A Low Complexity Estimator of Hyperbolic Frequency Modulated Signals","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4389169649","doi":"https://doi.org/10.1109/lsp.2023.3338057"},"language":"en","primary_location":{"id":"doi:10.1109/lsp.2023.3338057","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2023.3338057","pdf_url":null,"source":{"id":"https://openalex.org/S120629676","display_name":"IEEE Signal Processing Letters","issn_l":"1070-9908","issn":["1070-9908","1558-2361"],"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 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/A5101443582","display_name":"Xiaoya Xu","orcid":"https://orcid.org/0009-0001-1856-4133"},"institutions":[{"id":"https://openalex.org/I4210086862","display_name":"Hainan Maternal and Child Health Hospital","ror":"https://ror.org/000aph098","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210086862"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xiaoya Xu","raw_affiliation_strings":["Beijing Haidian District Maternity and Child Health Care Hospital, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing Haidian District Maternity and Child Health Care Hospital, Beijing, China","institution_ids":["https://openalex.org/I4210086862"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5034043389","display_name":"Xiaodong Jiang","orcid":"https://orcid.org/0000-0002-0548-8864"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xiaodong Jiang","raw_affiliation_strings":["Beijing Institute of Tracking and Telecommunications Technology, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing Institute of Tracking and Telecommunications Technology, Beijing, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5101443582"],"corresponding_institution_ids":["https://openalex.org/I4210086862"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.14940367,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"30","issue":null,"first_page":"1797","last_page":"1801"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11698","display_name":"Underwater Acoustics Research","score":0.9965999722480774,"subfield":{"id":"https://openalex.org/subfields/1910","display_name":"Oceanography"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11698","display_name":"Underwater Acoustics Research","score":0.9965999722480774,"subfield":{"id":"https://openalex.org/subfields/1910","display_name":"Oceanography"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10220","display_name":"Machine Fault Diagnosis Techniques","score":0.995199978351593,"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":0.995199978351593,"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/estimator","display_name":"Estimator","score":0.7868071794509888},{"id":"https://openalex.org/keywords/computational-complexity-theory","display_name":"Computational complexity theory","score":0.61566162109375},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.576613187789917},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.5507199168205261},{"id":"https://openalex.org/keywords/signal-to-noise-ratio","display_name":"Signal-to-noise ratio (imaging)","score":0.5413778424263},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.5345550775527954},{"id":"https://openalex.org/keywords/spectrum","display_name":"Spectrum (functional analysis)","score":0.4750528335571289},{"id":"https://openalex.org/keywords/upper-and-lower-bounds","display_name":"Upper and lower bounds","score":0.4689858555793762},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.4684453308582306},{"id":"https://openalex.org/keywords/amplitude","display_name":"Amplitude","score":0.4668256640434265},{"id":"https://openalex.org/keywords/signal-processing","display_name":"Signal processing","score":0.46051278710365295},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.3482448160648346},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.20918288826942444},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.17960599064826965},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.1388465166091919},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.1347934603691101},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.09023302793502808},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.06806111335754395}],"concepts":[{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.7868071794509888},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.61566162109375},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.576613187789917},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.5507199168205261},{"id":"https://openalex.org/C13944312","wikidata":"https://www.wikidata.org/wiki/Q7512748","display_name":"Signal-to-noise ratio (imaging)","level":2,"score":0.5413778424263},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5345550775527954},{"id":"https://openalex.org/C156778621","wikidata":"https://www.wikidata.org/wiki/Q1365748","display_name":"Spectrum (functional analysis)","level":2,"score":0.4750528335571289},{"id":"https://openalex.org/C77553402","wikidata":"https://www.wikidata.org/wiki/Q13222579","display_name":"Upper and lower bounds","level":2,"score":0.4689858555793762},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.4684453308582306},{"id":"https://openalex.org/C180205008","wikidata":"https://www.wikidata.org/wiki/Q159190","display_name":"Amplitude","level":2,"score":0.4668256640434265},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.46051278710365295},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3482448160648346},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.20918288826942444},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.17960599064826965},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.1388465166091919},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.1347934603691101},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.09023302793502808},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.06806111335754395},{"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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lsp.2023.3338057","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2023.3338057","pdf_url":null,"source":{"id":"https://openalex.org/S120629676","display_name":"IEEE Signal Processing Letters","issn_l":"1070-9908","issn":["1070-9908","1558-2361"],"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 Letters","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W1989421945","https://openalex.org/W2013264571","https://openalex.org/W2034018890","https://openalex.org/W2101280854","https://openalex.org/W2103030298","https://openalex.org/W2117546853","https://openalex.org/W2120539736","https://openalex.org/W2132085292","https://openalex.org/W2138355218","https://openalex.org/W2170713115","https://openalex.org/W2346948411","https://openalex.org/W2509042838","https://openalex.org/W2548986258","https://openalex.org/W2588612101","https://openalex.org/W2595897327","https://openalex.org/W2761468564","https://openalex.org/W2785852980","https://openalex.org/W2802574035","https://openalex.org/W2809893234","https://openalex.org/W3082561016","https://openalex.org/W3167171078","https://openalex.org/W4210297843","https://openalex.org/W4221127479","https://openalex.org/W4313002484"],"related_works":["https://openalex.org/W4360764540","https://openalex.org/W4231657010","https://openalex.org/W2395986200","https://openalex.org/W1994552539","https://openalex.org/W2007917622","https://openalex.org/W2385305544","https://openalex.org/W2157464222","https://openalex.org/W1985852812","https://openalex.org/W1977458776","https://openalex.org/W2170397068"],"abstract_inverted_index":{"The":[0,76,105],"primary":[1],"purpose":[2],"of":[3,13,27,40,52,72],"this":[4,59],"paper":[5],"is":[6,30,78,118,129],"to":[7,81,133],"propose":[8],"a":[9,114],"low":[10],"complexity":[11],"estimator":[12],"the":[14,25,34,48,53,70,73,83,88,92,110,124,130],"hyperbolic":[15],"frequency":[16],"modulated":[17],"(HFM)":[18],"signal.":[19,55],"A":[20],"novel":[21],"approximation":[22,36],"expression":[23],"for":[24],"spectrum":[26,50],"HFM":[28,54],"signals":[29],"derived.":[31],"It":[32],"surpasses":[33],"conventional":[35],"formula":[37],"in":[38],"terms":[39],"accuracy":[41],"and":[42],"reveals":[43],"that":[44,109,117],"phase":[45],"parameters":[46],"determine":[47],"amplitude":[49,74],"peak":[51,71],"Consequently,":[56],"by":[57,68,97],"using":[58],"characteristic,":[60],"we":[61],"can":[62],"directly":[63],"obtain":[64],"coarse":[65],"parameter":[66],"estimation":[67],"locating":[69],"spectrum.":[75],"result":[77],"then":[79],"refined":[80],"approach":[82],"Cram\u00e9r-Rao":[84],"lower":[85],"bound.":[86],"Since":[87],"proposed":[89,111],"method":[90,112],"eliminates":[91],"grid":[93],"search":[94],"process":[95],"required":[96],"many":[98],"existing":[99],"estimators,":[100],"it":[101,128],"reduces":[102],"computational":[103],"complexity.":[104],"simulation":[106],"results":[107],"demonstrate":[108],"has":[113],"signal-to-noise-ratio":[115],"threshold":[116],"only":[119],"2":[120],"dB":[121],"worse":[122],"than":[123],"state-of-the-art":[125],"method,":[126],"but":[127],"least":[131],"expensive":[132],"compute.":[134]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
