{"id":"https://openalex.org/W3169755749","doi":"https://doi.org/10.1109/ieeeconf51394.2020.9443566","title":"Improved Time-Frequency Representation of Multi-Component FM Signals with Compressed Observations","display_name":"Improved Time-Frequency Representation of Multi-Component FM Signals with Compressed Observations","publication_year":2020,"publication_date":"2020-11-01","ids":{"openalex":"https://openalex.org/W3169755749","doi":"https://doi.org/10.1109/ieeeconf51394.2020.9443566","mag":"3169755749"},"language":"en","primary_location":{"id":"doi:10.1109/ieeeconf51394.2020.9443566","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ieeeconf51394.2020.9443566","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 54th Asilomar Conference on Signals, Systems, and Computers","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/A5009647477","display_name":"Vaishali S. Amin","orcid":null},"institutions":[{"id":"https://openalex.org/I84392919","display_name":"Temple University","ror":"https://ror.org/00kx1jb78","country_code":"US","type":"education","lineage":["https://openalex.org/I84392919"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Vaishali S. Amin","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Temple University, Philadelphia, PA, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Temple University, Philadelphia, PA, USA","institution_ids":["https://openalex.org/I84392919"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074195801","display_name":"Yimin D. Zhang","orcid":"https://orcid.org/0000-0002-4625-209X"},"institutions":[{"id":"https://openalex.org/I84392919","display_name":"Temple University","ror":"https://ror.org/00kx1jb78","country_code":"US","type":"education","lineage":["https://openalex.org/I84392919"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yimin D. Zhang","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Temple University, Philadelphia, PA, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Temple University, Philadelphia, PA, USA","institution_ids":["https://openalex.org/I84392919"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5012490058","display_name":"Braham Himed","orcid":"https://orcid.org/0000-0003-0053-6270"},"institutions":[{"id":"https://openalex.org/I1280414376","display_name":"United States Air Force Research Laboratory","ror":"https://ror.org/02e2egq70","country_code":"US","type":"facility","lineage":["https://openalex.org/I1280414376","https://openalex.org/I1330347796","https://openalex.org/I4210102105","https://openalex.org/I4389425425"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Braham Himed","raw_affiliation_strings":["RF Technology Branch, Air Force Research Laboratory, Dayton, OH, USA"],"affiliations":[{"raw_affiliation_string":"RF Technology Branch, Air Force Research Laboratory, Dayton, OH, USA","institution_ids":["https://openalex.org/I1280414376"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5009647477"],"corresponding_institution_ids":["https://openalex.org/I84392919"],"apc_list":null,"apc_paid":null,"fwci":0.7042,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.6702288,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1370","last_page":"1374"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9983999729156494,"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/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9983999729156494,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9980999827384949,"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/T11447","display_name":"Blind Source Separation Techniques","score":0.9975000023841858,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/undersampling","display_name":"Undersampling","score":0.8235346078872681},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6896722912788391},{"id":"https://openalex.org/keywords/time\u2013frequency-analysis","display_name":"Time\u2013frequency analysis","score":0.6876043677330017},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.6165237426757812},{"id":"https://openalex.org/keywords/interpolation","display_name":"Interpolation (computer graphics)","score":0.5426256656646729},{"id":"https://openalex.org/keywords/instantaneous-phase","display_name":"Instantaneous phase","score":0.5221917033195496},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.5023560523986816},{"id":"https://openalex.org/keywords/component","display_name":"Component (thermodynamics)","score":0.49764302372932434},{"id":"https://openalex.org/keywords/frequency-domain","display_name":"Frequency domain","score":0.48841947317123413},{"id":"https://openalex.org/keywords/compressed-sensing","display_name":"Compressed sensing","score":0.4731294512748718},{"id":"https://openalex.org/keywords/artifact","display_name":"Artifact (error)","score":0.4365643262863159},{"id":"https://openalex.org/keywords/discrete-time-signal","display_name":"Discrete-time signal","score":0.43597492575645447},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.4299640953540802},{"id":"https://openalex.org/keywords/frequency-modulation","display_name":"Frequency modulation","score":0.42008817195892334},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.41667890548706055},{"id":"https://openalex.org/keywords/signal-processing","display_name":"Signal processing","score":0.4160524904727936},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3451833128929138},{"id":"https://openalex.org/keywords/analog-signal","display_name":"Analog signal","score":0.2557005286216736},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.25515511631965637},{"id":"https://openalex.org/keywords/radio-frequency","display_name":"Radio frequency","score":0.2376631796360016},{"id":"https://openalex.org/keywords/digital-signal-processing","display_name":"Digital signal processing","score":0.21756649017333984},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.19327107071876526},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.1626231074333191},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.12132734060287476},{"id":"https://openalex.org/keywords/signal-transfer-function","display_name":"Signal transfer function","score":0.10384148359298706},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.09541979432106018}],"concepts":[{"id":"https://openalex.org/C136536468","wikidata":"https://www.wikidata.org/wiki/Q1225894","display_name":"Undersampling","level":2,"score":0.8235346078872681},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6896722912788391},{"id":"https://openalex.org/C142433447","wikidata":"https://www.wikidata.org/wiki/Q7806653","display_name":"Time\u2013frequency analysis","level":3,"score":0.6876043677330017},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.6165237426757812},{"id":"https://openalex.org/C137800194","wikidata":"https://www.wikidata.org/wiki/Q11713455","display_name":"Interpolation (computer graphics)","level":3,"score":0.5426256656646729},{"id":"https://openalex.org/C137798554","wikidata":"https://www.wikidata.org/wiki/Q6038852","display_name":"Instantaneous phase","level":3,"score":0.5221917033195496},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.5023560523986816},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.49764302372932434},{"id":"https://openalex.org/C19118579","wikidata":"https://www.wikidata.org/wiki/Q786423","display_name":"Frequency domain","level":2,"score":0.48841947317123413},{"id":"https://openalex.org/C124851039","wikidata":"https://www.wikidata.org/wiki/Q2665459","display_name":"Compressed sensing","level":2,"score":0.4731294512748718},{"id":"https://openalex.org/C2779010991","wikidata":"https://www.wikidata.org/wiki/Q2720909","display_name":"Artifact (error)","level":2,"score":0.4365643262863159},{"id":"https://openalex.org/C146749787","wikidata":"https://www.wikidata.org/wiki/Q15963867","display_name":"Discrete-time signal","level":5,"score":0.43597492575645447},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.4299640953540802},{"id":"https://openalex.org/C11930861","wikidata":"https://www.wikidata.org/wiki/Q181417","display_name":"Frequency modulation","level":3,"score":0.42008817195892334},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.41667890548706055},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.4160524904727936},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3451833128929138},{"id":"https://openalex.org/C13412647","wikidata":"https://www.wikidata.org/wiki/Q174948","display_name":"Analog signal","level":3,"score":0.2557005286216736},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.25515511631965637},{"id":"https://openalex.org/C74064498","wikidata":"https://www.wikidata.org/wiki/Q3396184","display_name":"Radio frequency","level":2,"score":0.2376631796360016},{"id":"https://openalex.org/C84462506","wikidata":"https://www.wikidata.org/wiki/Q173142","display_name":"Digital signal processing","level":2,"score":0.21756649017333984},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.19327107071876526},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.1626231074333191},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.12132734060287476},{"id":"https://openalex.org/C131021393","wikidata":"https://www.wikidata.org/wiki/Q7512759","display_name":"Signal transfer function","level":4,"score":0.10384148359298706},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.09541979432106018},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","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/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ieeeconf51394.2020.9443566","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ieeeconf51394.2020.9443566","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 54th Asilomar Conference on Signals, Systems, and Computers","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7","score":0.550000011920929}],"awards":[],"funders":[{"id":"https://openalex.org/F4320338294","display_name":"Air Force Research Laboratory","ror":"https://ror.org/02e2egq70"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W210359992","https://openalex.org/W281858385","https://openalex.org/W607933207","https://openalex.org/W999453208","https://openalex.org/W1516521034","https://openalex.org/W1814775863","https://openalex.org/W2012439640","https://openalex.org/W2043206083","https://openalex.org/W2068242608","https://openalex.org/W2073032214","https://openalex.org/W2078685049","https://openalex.org/W2112855412","https://openalex.org/W2115891560","https://openalex.org/W2127271355","https://openalex.org/W2140268786","https://openalex.org/W2165878107","https://openalex.org/W2169791062","https://openalex.org/W2626183186","https://openalex.org/W2892303930","https://openalex.org/W2952999821","https://openalex.org/W2974221611","https://openalex.org/W3013408338","https://openalex.org/W3093948491","https://openalex.org/W3111637806","https://openalex.org/W4242565096","https://openalex.org/W4253307330","https://openalex.org/W6787205243","https://openalex.org/W6835056110"],"related_works":["https://openalex.org/W2134843605","https://openalex.org/W1973229893","https://openalex.org/W3091698330","https://openalex.org/W1619742598","https://openalex.org/W2085916502","https://openalex.org/W116012085","https://openalex.org/W2079961989","https://openalex.org/W2753718322","https://openalex.org/W2083407651","https://openalex.org/W1554319203"],"abstract_inverted_index":{"Compressed":[0],"data":[1,15,86],"measurements":[2],"of":[3,64,84,111],"non-stationary":[4],"signals,":[5,66],"which":[6],"may":[7],"arise":[8],"from":[9],"intentional":[10],"signal":[11,48],"undersampling":[12],"or":[13],"missing":[14,94],"samples,":[16],"introduce":[17],"undesirable":[18],"artifacts":[19,39],"in":[20,88],"the":[21,89,109,112],"rendered":[22],"time-frequency":[23],"(TF)":[24],"representations.":[25],"In":[26,50],"particular,":[27],"for":[28],"multi-component":[29],"non-linear":[30],"frequency":[31,62],"modulated":[32],"(FM)":[33],"signals":[34],"with":[35],"distinct":[36],"amplitudes,":[37],"such":[38,65],"pose":[40],"a":[41,82,97],"great":[42],"challenge":[43],"to":[44,92,101],"accurately":[45],"reconstruct":[46],"weaker":[47],"components.":[49],"this":[51],"paper,":[52],"we":[53],"develop":[54],"improved":[55],"TF":[56,99],"representations":[57],"that":[58],"enable":[59],"accurate":[60],"instantaneous":[61],"estimation":[63],"achieve":[67],"high":[68],"energy":[69],"concentration,":[70],"and":[71,75,96,104],"provide":[72],"effective":[73],"cross-term":[74],"artifact":[76],"mitigation.":[77],"The":[78],"proposed":[79,113],"technique":[80],"utilizes":[81],"combination":[83],"iterative":[85],"interpolation":[87],"time-lag":[90],"domain":[91],"recover":[93],"entries":[95],"signal-adaptive":[98],"kernel":[100],"suppress":[102],"cross-terms":[103],"artifacts.":[105],"Simulation":[106],"results":[107],"confirm":[108],"effectiveness":[110],"method.":[114]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"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"}