{"id":"https://openalex.org/W4205475303","doi":"https://doi.org/10.23919/eusipco54536.2021.9616263","title":"Singular Value Decomposition for Compression of Large-Scale Radio Frequency Signals","display_name":"Singular Value Decomposition for Compression of Large-Scale Radio Frequency Signals","publication_year":2021,"publication_date":"2021-08-23","ids":{"openalex":"https://openalex.org/W4205475303","doi":"https://doi.org/10.23919/eusipco54536.2021.9616263"},"language":"en","primary_location":{"id":"doi:10.23919/eusipco54536.2021.9616263","is_oa":false,"landing_page_url":"https://doi.org/10.23919/eusipco54536.2021.9616263","pdf_url":null,"source":{"id":"https://openalex.org/S4363607854","display_name":"2021 29th European Signal Processing Conference (EUSIPCO)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 29th European Signal Processing Conference (EUSIPCO)","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/A5014753611","display_name":"R. David Badger","orcid":"https://orcid.org/0000-0003-1341-1215"},"institutions":[{"id":"https://openalex.org/I2802287952","display_name":"Naval Surface Warfare Center","ror":"https://ror.org/03d4ecn10","country_code":"US","type":"facility","lineage":["https://openalex.org/I1328969757","https://openalex.org/I1330347796","https://openalex.org/I2802287952","https://openalex.org/I3130687028"]},{"id":"https://openalex.org/I4210119109","display_name":"Indiana University Bloomington","ror":"https://ror.org/02k40bc56","country_code":"US","type":"education","lineage":["https://openalex.org/I4210119109","https://openalex.org/I592451"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"R. David Badger","raw_affiliation_strings":["Indiana University,Department of Intelligent Systems Engineering,Bloomington,IN,USA,47408","Naval Surface Warfare Center Crane, Crane, IN, USA"],"affiliations":[{"raw_affiliation_string":"Indiana University,Department of Intelligent Systems Engineering,Bloomington,IN,USA,47408","institution_ids":["https://openalex.org/I4210119109"]},{"raw_affiliation_string":"Naval Surface Warfare Center Crane, Crane, IN, USA","institution_ids":["https://openalex.org/I2802287952"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5064582903","display_name":"Minje Kim","orcid":"https://orcid.org/0000-0003-3513-8328"},"institutions":[{"id":"https://openalex.org/I4210119109","display_name":"Indiana University Bloomington","ror":"https://ror.org/02k40bc56","country_code":"US","type":"education","lineage":["https://openalex.org/I4210119109","https://openalex.org/I592451"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Minje Kim","raw_affiliation_strings":["Indiana University,Department of Intelligent Systems Engineering,Bloomington,IN,USA,47408"],"affiliations":[{"raw_affiliation_string":"Indiana University,Department of Intelligent Systems Engineering,Bloomington,IN,USA,47408","institution_ids":["https://openalex.org/I4210119109"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5014753611"],"corresponding_institution_ids":["https://openalex.org/I2802287952","https://openalex.org/I4210119109"],"apc_list":null,"apc_paid":null,"fwci":4.0198,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.94343434,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1591","last_page":"1595"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12450","display_name":"Radio Astronomy Observations and Technology","score":0.9962999820709229,"subfield":{"id":"https://openalex.org/subfields/3103","display_name":"Astronomy and Astrophysics"},"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/T12450","display_name":"Radio Astronomy Observations and Technology","score":0.9962999820709229,"subfield":{"id":"https://openalex.org/subfields/3103","display_name":"Astronomy and Astrophysics"},"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/T10125","display_name":"Advanced Wireless Communication Techniques","score":0.9958000183105469,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/T11447","display_name":"Blind Source Separation Techniques","score":0.995199978351593,"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/lossy-compression","display_name":"Lossy compression","score":0.688599705696106},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6729987859725952},{"id":"https://openalex.org/keywords/singular-value-decomposition","display_name":"Singular value decomposition","score":0.6716466546058655},{"id":"https://openalex.org/keywords/radio-frequency","display_name":"Radio frequency","score":0.5987187027931213},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.5906078815460205},{"id":"https://openalex.org/keywords/matrix-decomposition","display_name":"Matrix decomposition","score":0.581345796585083},{"id":"https://openalex.org/keywords/software-defined-radio","display_name":"Software-defined radio","score":0.5417460203170776},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5363072156906128},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.18105298280715942},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.17631247639656067}],"concepts":[{"id":"https://openalex.org/C165021410","wikidata":"https://www.wikidata.org/wiki/Q55564","display_name":"Lossy compression","level":2,"score":0.688599705696106},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6729987859725952},{"id":"https://openalex.org/C22789450","wikidata":"https://www.wikidata.org/wiki/Q420904","display_name":"Singular value decomposition","level":2,"score":0.6716466546058655},{"id":"https://openalex.org/C74064498","wikidata":"https://www.wikidata.org/wiki/Q3396184","display_name":"Radio frequency","level":2,"score":0.5987187027931213},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.5906078815460205},{"id":"https://openalex.org/C42355184","wikidata":"https://www.wikidata.org/wiki/Q1361088","display_name":"Matrix decomposition","level":3,"score":0.581345796585083},{"id":"https://openalex.org/C171115542","wikidata":"https://www.wikidata.org/wiki/Q1331892","display_name":"Software-defined radio","level":2,"score":0.5417460203170776},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5363072156906128},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.18105298280715942},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.17631247639656067},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"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/C158693339","wikidata":"https://www.wikidata.org/wiki/Q190524","display_name":"Eigenvalues and eigenvectors","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.23919/eusipco54536.2021.9616263","is_oa":false,"landing_page_url":"https://doi.org/10.23919/eusipco54536.2021.9616263","pdf_url":null,"source":{"id":"https://openalex.org/S4363607854","display_name":"2021 29th European Signal Processing Conference (EUSIPCO)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 29th European Signal Processing Conference (EUSIPCO)","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":17,"referenced_works":["https://openalex.org/W1494198834","https://openalex.org/W1972949070","https://openalex.org/W1987570579","https://openalex.org/W2006331805","https://openalex.org/W2020997493","https://openalex.org/W2067295501","https://openalex.org/W2084471278","https://openalex.org/W2089493027","https://openalex.org/W2161145053","https://openalex.org/W2234355263","https://openalex.org/W2432161044","https://openalex.org/W2947356357","https://openalex.org/W2951615004","https://openalex.org/W2969628538","https://openalex.org/W3114824336","https://openalex.org/W4249501917","https://openalex.org/W6651814521"],"related_works":["https://openalex.org/W2055000019","https://openalex.org/W1835313421","https://openalex.org/W2289581109","https://openalex.org/W2966267957","https://openalex.org/W2969532967","https://openalex.org/W2355259571","https://openalex.org/W1480310945","https://openalex.org/W2353518814","https://openalex.org/W2991773296","https://openalex.org/W4205475303"],"abstract_inverted_index":{"The":[0],"paper":[1],"proposes":[2],"an":[3],"efficient":[4],"matrix":[5],"factorization-based":[6],"approach":[7],"to":[8],"large-scale":[9],"radio":[10],"frequency":[11],"(RF)":[12],"signal":[13,139],"compression":[14,18,140,147],"tasks.":[15],"While":[16],"data":[17,33],"techniques":[19],"can":[20,53],"significantly":[21,59],"reduce":[22],"the":[23,61,66,83,101,105,113,116,120,128,132],"storage":[24,62],"requirements":[25],"and":[26,36,63,86,145],"memory":[27],"bandwidths":[28],"for":[29,42],"many":[30],"types":[31],"of":[32,65,104,115,119,127],"including":[34],"image":[35],"audio":[37],"files,":[38],"a":[39,96,124],"reasonable":[40],"implementation":[41],"RF":[43,51,80,138],"signals":[44,52,81],"is":[45],"less":[46],"explored.":[47],"However,":[48],"since":[49],"recorded":[50],"be":[54],"extremely":[55],"large,":[56],"they":[57],"often":[58],"impact":[60],"handling":[64],"data.":[67],"In":[68],"this":[69],"paper,":[70],"we":[71],"focus":[72],"on":[73],"software":[74],"defined":[75],"radios":[76],"(SDR)":[77],"that":[78,142],"process":[79],"in":[82,135],"in-phase":[84],"(I)":[85],"quadrature":[87],"(Q)":[88],"time":[89],"samples,":[90,122],"which":[91,111],"are":[92],"then":[93],"transformed":[94],"into":[95],"time-frequency":[97,117],"representation.":[98],"We":[99,130],"investigate":[100],"use":[102],"cases":[103],"singular":[106],"value":[107],"decomposition":[108],"(SVD)":[109],"algorithm,":[110],"reduces":[112],"dimension":[114],"representation":[118],"IQ":[121],"forming":[123],"low-rank":[125],"approximation":[126],"original.":[129],"validate":[131],"proposed":[133],"method":[134],"various":[136],"lossy":[137],"tasks":[141],"show":[143],"fast":[144],"reliable":[146],"results":[148],"with":[149],"acceptable":[150],"reconstruction":[151],"error.":[152]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
