{"id":"https://openalex.org/W3013507138","doi":"https://doi.org/10.1109/ieeeconf44664.2019.9048953","title":"Wave Equation Extraction from A Video Using Sparse Modeling","display_name":"Wave Equation Extraction from A Video Using Sparse Modeling","publication_year":2019,"publication_date":"2019-11-01","ids":{"openalex":"https://openalex.org/W3013507138","doi":"https://doi.org/10.1109/ieeeconf44664.2019.9048953","mag":"3013507138"},"language":"en","primary_location":{"id":"doi:10.1109/ieeeconf44664.2019.9048953","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ieeeconf44664.2019.9048953","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 53rd 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/A5089208734","display_name":"Ruixian Liu","orcid":"https://orcid.org/0000-0002-3065-6743"},"institutions":[{"id":"https://openalex.org/I150209017","display_name":"Scripps Institution of Oceanography","ror":"https://ror.org/04v7hvq31","country_code":"US","type":"facility","lineage":["https://openalex.org/I150209017","https://openalex.org/I36258959"]},{"id":"https://openalex.org/I36258959","display_name":"University of California San Diego","ror":"https://ror.org/0168r3w48","country_code":"US","type":"education","lineage":["https://openalex.org/I36258959"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ruixian Liu","raw_affiliation_strings":["University of California San Diego,Scripps Institution of Oceanography","Scripps Institution of Oceanography, University of California San Diego"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of California San Diego,Scripps Institution of Oceanography","institution_ids":["https://openalex.org/I150209017"]},{"raw_affiliation_string":"Scripps Institution of Oceanography, University of California San Diego","institution_ids":["https://openalex.org/I150209017","https://openalex.org/I36258959"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018064114","display_name":"Michael J. Bianco","orcid":"https://orcid.org/0000-0001-8710-6980"},"institutions":[{"id":"https://openalex.org/I150209017","display_name":"Scripps Institution of Oceanography","ror":"https://ror.org/04v7hvq31","country_code":"US","type":"facility","lineage":["https://openalex.org/I150209017","https://openalex.org/I36258959"]},{"id":"https://openalex.org/I36258959","display_name":"University of California San Diego","ror":"https://ror.org/0168r3w48","country_code":"US","type":"education","lineage":["https://openalex.org/I36258959"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Michael J. Bianco","raw_affiliation_strings":["University of California San Diego,Scripps Institution of Oceanography","Scripps Institution of Oceanography, University of California San Diego"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of California San Diego,Scripps Institution of Oceanography","institution_ids":["https://openalex.org/I150209017"]},{"raw_affiliation_string":"Scripps Institution of Oceanography, University of California San Diego","institution_ids":["https://openalex.org/I150209017","https://openalex.org/I36258959"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5004718675","display_name":"Peter Gerstoft","orcid":"https://orcid.org/0000-0002-0471-062X"},"institutions":[{"id":"https://openalex.org/I150209017","display_name":"Scripps Institution of Oceanography","ror":"https://ror.org/04v7hvq31","country_code":"US","type":"facility","lineage":["https://openalex.org/I150209017","https://openalex.org/I36258959"]},{"id":"https://openalex.org/I36258959","display_name":"University of California San Diego","ror":"https://ror.org/0168r3w48","country_code":"US","type":"education","lineage":["https://openalex.org/I36258959"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Peter Gerstoft","raw_affiliation_strings":["University of California San Diego,Scripps Institution of Oceanography","Scripps Institution of Oceanography, University of California San Diego"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of California San Diego,Scripps Institution of Oceanography","institution_ids":["https://openalex.org/I150209017"]},{"raw_affiliation_string":"Scripps Institution of Oceanography, University of California San Diego","institution_ids":["https://openalex.org/I150209017","https://openalex.org/I36258959"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.4325,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.63521512,"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":"2160","last_page":"2165"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11206","display_name":"Model Reduction and Neural Networks","score":0.998199999332428,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11206","display_name":"Model Reduction and Neural Networks","score":0.998199999332428,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9972000122070312,"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/T10534","display_name":"Structural Health Monitoring Techniques","score":0.9948999881744385,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural 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":0.7253762483596802},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.5736114382743835},{"id":"https://openalex.org/keywords/principal-component-analysis","display_name":"Principal component analysis","score":0.5627418756484985},{"id":"https://openalex.org/keywords/salient","display_name":"Salient","score":0.4611843228340149},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4536052644252777},{"id":"https://openalex.org/keywords/partial-differential-equation","display_name":"Partial differential equation","score":0.4418230652809143},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.4401733875274658},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.42882031202316284},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4180615246295929},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3869399130344391},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.36987924575805664},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.26073163747787476},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.14902150630950928},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.10145831108093262}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7253762483596802},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.5736114382743835},{"id":"https://openalex.org/C27438332","wikidata":"https://www.wikidata.org/wiki/Q2873","display_name":"Principal component analysis","level":2,"score":0.5627418756484985},{"id":"https://openalex.org/C2780719617","wikidata":"https://www.wikidata.org/wiki/Q1030752","display_name":"Salient","level":2,"score":0.4611843228340149},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4536052644252777},{"id":"https://openalex.org/C93779851","wikidata":"https://www.wikidata.org/wiki/Q271977","display_name":"Partial differential equation","level":2,"score":0.4418230652809143},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.4401733875274658},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.42882031202316284},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4180615246295929},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3869399130344391},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.36987924575805664},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.26073163747787476},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.14902150630950928},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.10145831108093262},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ieeeconf44664.2019.9048953","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ieeeconf44664.2019.9048953","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 53rd Asilomar Conference on Signals, Systems, and Computers","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.800000011920929,"id":"https://metadata.un.org/sdg/6","display_name":"Clean water and sanitation"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W1961498716","https://openalex.org/W2013494947","https://openalex.org/W2029411311","https://openalex.org/W2100556411","https://openalex.org/W2110963081","https://openalex.org/W2119058682","https://openalex.org/W2130151115","https://openalex.org/W2135046866","https://openalex.org/W2145962650","https://openalex.org/W2239232218","https://openalex.org/W2511803032","https://openalex.org/W2525748878","https://openalex.org/W2573798107","https://openalex.org/W2765872171","https://openalex.org/W2770604561","https://openalex.org/W2899283552","https://openalex.org/W2903357009","https://openalex.org/W2955926044","https://openalex.org/W2963021886","https://openalex.org/W2964323201","https://openalex.org/W2979594461","https://openalex.org/W3104217244","https://openalex.org/W6676594431","https://openalex.org/W6746017139","https://openalex.org/W6746445604","https://openalex.org/W6757252683","https://openalex.org/W6766147417"],"related_works":["https://openalex.org/W2329500892","https://openalex.org/W1975632186","https://openalex.org/W28991112","https://openalex.org/W3027745756","https://openalex.org/W3205213561","https://openalex.org/W2531880140","https://openalex.org/W2370726991","https://openalex.org/W2126145365","https://openalex.org/W2036609560","https://openalex.org/W1585144779"],"abstract_inverted_index":{"The":[0],"identification":[1,49,67],"of":[2,36,50,55,68,91],"partial":[3],"differential":[4],"equations":[5],"(PDEs)":[6],"governing":[7,109],"physical":[8,71],"systems":[9],"based":[10],"solely":[11],"on":[12],"data":[13,44],"recently":[14],"has":[15,25],"attracted":[16],"significant":[17,46],"research":[18],"attention.":[19],"Previous":[20],"work":[21],"in":[22,73,94,113],"this":[23,78],"area":[24],"concerned":[26],"applications":[27],"to":[28,48,86,105],"notional":[29],"or":[30,33],"synthetic":[31],"models":[32],"direct":[34],"measurements":[35],"signals.":[37],"For":[38],"real":[39],"signals,":[40],"noise":[41],"and":[42,100,125],"missing":[43],"present":[45,61],"obstacles":[47],"PDEs.":[51],"Further,":[52],"indirect":[53],"observations":[54],"dynamic":[56,89],"systems,":[57],"e.g.":[58],"video":[59,75,99,118],"data,":[60],"additional":[62],"challenges":[63],"which":[64],"include":[65],"the":[66,69,74,88,107,110,114,117,122,128],"salient":[70],"phenomena":[72],"frames.":[76],"In":[77],"work,":[79],"we":[80,119],"use":[81],"robust":[82],"principal":[83],"component":[84],"analysis":[85],"extract":[87,106,127],"part":[90],"each":[92],"frame":[93],"a":[95,102],"water":[96],"tank":[97],"wave":[98,111,123],"demonstrate":[101],"sparse-modeling":[103],"method":[104],"PDE":[108],"propagation":[112],"video.":[115],"From":[116],"correctly":[120],"identify":[121],"equation":[124],"can":[126],"phase":[129],"speed.":[130]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
