{"id":"https://openalex.org/W2584762846","doi":"https://doi.org/10.1109/icassp.2017.7953055","title":"Gridless compressed sensing under shift-invariant sampling","display_name":"Gridless compressed sensing under shift-invariant sampling","publication_year":2017,"publication_date":"2017-03-01","ids":{"openalex":"https://openalex.org/W2584762846","doi":"https://doi.org/10.1109/icassp.2017.7953055","mag":"2584762846"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2017.7953055","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2017.7953055","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5102901093","display_name":"Christian Steffens","orcid":"https://orcid.org/0000-0002-0990-0967"},"institutions":[{"id":"https://openalex.org/I31512782","display_name":"Technische Universit\u00e4t Darmstadt","ror":"https://ror.org/05n911h24","country_code":"DE","type":"education","lineage":["https://openalex.org/I31512782"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Christian Steffens","raw_affiliation_strings":["Communication Systems Group, Technische Universit\u00e4t Darmstadt, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Communication Systems Group, Technische Universit\u00e4t Darmstadt, Germany","institution_ids":["https://openalex.org/I31512782"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076017660","display_name":"Wassim Suleiman","orcid":"https://orcid.org/0000-0002-6531-2756"},"institutions":[{"id":"https://openalex.org/I31512782","display_name":"Technische Universit\u00e4t Darmstadt","ror":"https://ror.org/05n911h24","country_code":"DE","type":"education","lineage":["https://openalex.org/I31512782"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Wassim Suleiman","raw_affiliation_strings":["Communication Systems Group, Technische Universit\u00e4t Darmstadt, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Communication Systems Group, Technische Universit\u00e4t Darmstadt, Germany","institution_ids":["https://openalex.org/I31512782"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056189508","display_name":"Alexander Sorg","orcid":null},"institutions":[{"id":"https://openalex.org/I31512782","display_name":"Technische Universit\u00e4t Darmstadt","ror":"https://ror.org/05n911h24","country_code":"DE","type":"education","lineage":["https://openalex.org/I31512782"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Alexander Sorg","raw_affiliation_strings":["Communication Systems Group, Technische Universit\u00e4t Darmstadt, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Communication Systems Group, Technische Universit\u00e4t Darmstadt, Germany","institution_ids":["https://openalex.org/I31512782"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5001481378","display_name":"Marius Pesavento","orcid":"https://orcid.org/0000-0003-3395-2588"},"institutions":[{"id":"https://openalex.org/I31512782","display_name":"Technische Universit\u00e4t Darmstadt","ror":"https://ror.org/05n911h24","country_code":"DE","type":"education","lineage":["https://openalex.org/I31512782"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Marius Pesavento","raw_affiliation_strings":["Communication Systems Group, Technische Universit\u00e4t Darmstadt, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Communication Systems Group, Technische Universit\u00e4t Darmstadt, Germany","institution_ids":["https://openalex.org/I31512782"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I31512782"],"apc_list":null,"apc_paid":null,"fwci":1.7518,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.86479927,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"4735","last_page":"4739"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9998999834060669,"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":0.9998999834060669,"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/T10931","display_name":"Direction-of-Arrival Estimation Techniques","score":0.9995999932289124,"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"}},{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation Techniques","score":0.9990000128746033,"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/compressed-sensing","display_name":"Compressed sensing","score":0.7421101331710815},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.6492177248001099},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6233696937561035},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5926817655563354},{"id":"https://openalex.org/keywords/invariant","display_name":"Invariant (physics)","score":0.5740594863891602},{"id":"https://openalex.org/keywords/subspace-topology","display_name":"Subspace topology","score":0.5590965747833252},{"id":"https://openalex.org/keywords/lti-system-theory","display_name":"LTI system theory","score":0.4789445996284485},{"id":"https://openalex.org/keywords/computational-complexity-theory","display_name":"Computational complexity theory","score":0.4673858880996704},{"id":"https://openalex.org/keywords/oversampling","display_name":"Oversampling","score":0.4489993155002594},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3248477578163147},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3105528950691223},{"id":"https://openalex.org/keywords/linear-system","display_name":"Linear system","score":0.2303425669670105},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.11204290390014648},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.10074004530906677},{"id":"https://openalex.org/keywords/bandwidth","display_name":"Bandwidth (computing)","score":0.09998670220375061}],"concepts":[{"id":"https://openalex.org/C124851039","wikidata":"https://www.wikidata.org/wiki/Q2665459","display_name":"Compressed sensing","level":2,"score":0.7421101331710815},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.6492177248001099},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6233696937561035},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5926817655563354},{"id":"https://openalex.org/C190470478","wikidata":"https://www.wikidata.org/wiki/Q2370229","display_name":"Invariant (physics)","level":2,"score":0.5740594863891602},{"id":"https://openalex.org/C32834561","wikidata":"https://www.wikidata.org/wiki/Q660730","display_name":"Subspace topology","level":2,"score":0.5590965747833252},{"id":"https://openalex.org/C87698059","wikidata":"https://www.wikidata.org/wiki/Q1808960","display_name":"LTI system theory","level":3,"score":0.4789445996284485},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.4673858880996704},{"id":"https://openalex.org/C197323446","wikidata":"https://www.wikidata.org/wiki/Q331222","display_name":"Oversampling","level":3,"score":0.4489993155002594},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3248477578163147},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3105528950691223},{"id":"https://openalex.org/C6802819","wikidata":"https://www.wikidata.org/wiki/Q1072174","display_name":"Linear system","level":2,"score":0.2303425669670105},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.11204290390014648},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.10074004530906677},{"id":"https://openalex.org/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.09998670220375061},{"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/C37914503","wikidata":"https://www.wikidata.org/wiki/Q156495","display_name":"Mathematical physics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icassp.2017.7953055","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2017.7953055","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"},{"id":"pmh:oai:tubiblio.ulb.tu-darmstadt.de:84682","is_oa":false,"landing_page_url":"http://tubiblio.ulb.tu-darmstadt.de/84682/","pdf_url":null,"source":{"id":"https://openalex.org/S4377196390","display_name":"TUbilio (Technical University of Darmstadt)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I31512782","host_organization_name":"Technische Universit\u00e4t Darmstadt","host_organization_lineage":["https://openalex.org/I31512782"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Konferenzver\u00f6ffentlichung"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W340244495","https://openalex.org/W562372631","https://openalex.org/W1200626612","https://openalex.org/W1574858636","https://openalex.org/W1601244950","https://openalex.org/W1986931325","https://openalex.org/W1999867771","https://openalex.org/W2018778093","https://openalex.org/W2054110507","https://openalex.org/W2065656021","https://openalex.org/W2089088256","https://openalex.org/W2103519107","https://openalex.org/W2105108073","https://openalex.org/W2110153607","https://openalex.org/W2118550318","https://openalex.org/W2118991476","https://openalex.org/W2119499160","https://openalex.org/W2121529575","https://openalex.org/W2128131274","https://openalex.org/W2135046866","https://openalex.org/W2138019504","https://openalex.org/W2145096794","https://openalex.org/W2146678402","https://openalex.org/W2151105244","https://openalex.org/W2154332973","https://openalex.org/W2162654459","https://openalex.org/W2196956961","https://openalex.org/W2565293665","https://openalex.org/W2963124734","https://openalex.org/W2964325628","https://openalex.org/W4300263211","https://openalex.org/W6634382963","https://openalex.org/W6765868565"],"related_works":["https://openalex.org/W1969548218","https://openalex.org/W2142402204","https://openalex.org/W4248694259","https://openalex.org/W2321848620","https://openalex.org/W3209093869","https://openalex.org/W3208653488","https://openalex.org/W4221145148","https://openalex.org/W2522322674","https://openalex.org/W2981006997","https://openalex.org/W2178017403"],"abstract_inverted_index":{"Parameter":[0],"estimation":[1],"has":[2,50],"applications":[3],"in":[4,57,126],"many":[5],"fields":[6],"of":[7,64],"signal":[8],"processing,":[9],"such":[10,60,93],"as":[11,61],"spectral":[12],"analysis":[13],"or":[14,70],"direction-of-arrival":[15],"estimation.":[16],"Subspace-based":[17],"methods":[18,56],"like":[19],"root-MUSIC":[20],"and":[21,40],"ESPRIT":[22,125],"provide":[23],"high":[24,67],"parameter":[25],"resolution":[26],"at":[27],"low":[28,62],"computational":[29],"complexity":[30],"by":[31,117],"exploiting":[32],"specific":[33],"sampling":[34,39,80],"structure,":[35],"namely":[36],"uniform":[37,79],"linear":[38],"shift-invariant":[41,98,113],"sampling,":[42],"respectively.":[43],"On":[44],"the":[45,121],"other":[46],"hand,":[47],"compressed":[48,83,110],"sensing":[49,84,111],"been":[51],"shown":[52],"to":[53],"outperform":[54],"subspace-based":[55],"difficult":[58,127],"scenarios":[59],"number":[63],"measurement":[65],"vectors,":[66],"noise":[68],"power":[69],"correlated":[71],"signals.":[72],"While":[73],"it":[74],"is":[75],"well":[76],"known":[77,96],"that":[78,120],"admits":[81],"gridless":[82,109],"methods,":[85],"e.g.,":[86],"based":[87],"on":[88],"atomic":[89],"norm":[90],"minimization,":[91],"no":[92],"approaches":[94],"are":[95],"for":[97,108],"sampling.":[99,114],"In":[100],"this":[101],"paper":[102],"we":[103],"present":[104],"a":[105],"novel":[106],"approach":[107],"under":[112],"We":[115],"show":[116],"numerical":[118],"experiments":[119],"proposed":[122],"method":[123],"outperforms":[124],"scenarios.":[128]},"counts_by_year":[{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}