{"id":"https://openalex.org/W3011072955","doi":"https://doi.org/10.1109/camsap45676.2019.9022467","title":"A Novel Sensing Matrix Design for Compressed Sensing via Mutual Coherence Minimization","display_name":"A Novel Sensing Matrix Design for Compressed Sensing via Mutual Coherence Minimization","publication_year":2019,"publication_date":"2019-12-01","ids":{"openalex":"https://openalex.org/W3011072955","doi":"https://doi.org/10.1109/camsap45676.2019.9022467","mag":"3011072955"},"language":"en","primary_location":{"id":"doi:10.1109/camsap45676.2019.9022467","is_oa":false,"landing_page_url":"https://doi.org/10.1109/camsap45676.2019.9022467","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE 8th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP)","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/A5072969025","display_name":"Khaled Ardah","orcid":"https://orcid.org/0000-0002-2396-2224"},"institutions":[{"id":"https://openalex.org/I119449181","display_name":"Technische Universit\u00e4t Ilmenau","ror":"https://ror.org/01weqhp73","country_code":"DE","type":"education","lineage":["https://openalex.org/I119449181"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Khaled Ardah","raw_affiliation_strings":["Communications Research Laboratory (CRL), TU Ilmenau, Ilmenau, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Communications Research Laboratory (CRL), TU Ilmenau, Ilmenau, Germany","institution_ids":["https://openalex.org/I119449181"]}]},{"author_position":"middle","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, TU Darmstadt, Darmstadt, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Communication Systems Group, TU Darmstadt, Darmstadt, Germany","institution_ids":["https://openalex.org/I31512782"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5004533757","display_name":"Martin Haardt","orcid":"https://orcid.org/0000-0001-7810-975X"},"institutions":[{"id":"https://openalex.org/I119449181","display_name":"Technische Universit\u00e4t Ilmenau","ror":"https://ror.org/01weqhp73","country_code":"DE","type":"education","lineage":["https://openalex.org/I119449181"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Martin Haardt","raw_affiliation_strings":["Communications Research Laboratory (CRL), TU Ilmenau, Ilmenau, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Communications Research Laboratory (CRL), TU Ilmenau, Ilmenau, Germany","institution_ids":["https://openalex.org/I119449181"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.2372,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.94523631,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"66","last_page":"70"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":1.0,"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":1.0,"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/T11447","display_name":"Blind Source Separation Techniques","score":0.9991000294685364,"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/T11739","display_name":"Microwave Imaging and Scattering Analysis","score":0.9975000023841858,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical 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/mutual-coherence","display_name":"Mutual coherence","score":0.971147894859314},{"id":"https://openalex.org/keywords/coherence","display_name":"Coherence (philosophical gambling strategy)","score":0.788088321685791},{"id":"https://openalex.org/keywords/compressed-sensing","display_name":"Compressed sensing","score":0.7860095500946045},{"id":"https://openalex.org/keywords/minification","display_name":"Minification","score":0.6710380911827087},{"id":"https://openalex.org/keywords/mutual-information","display_name":"Mutual information","score":0.6504217386245728},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6457831263542175},{"id":"https://openalex.org/keywords/upper-and-lower-bounds","display_name":"Upper and lower bounds","score":0.5446609258651733},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5262600183486938},{"id":"https://openalex.org/keywords/convex-optimization","display_name":"Convex optimization","score":0.48500344157218933},{"id":"https://openalex.org/keywords/matrix","display_name":"Matrix (chemical analysis)","score":0.4731655716896057},{"id":"https://openalex.org/keywords/regular-polygon","display_name":"Regular polygon","score":0.3755660057067871},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.3678407073020935},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2814555764198303},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.21879270672798157}],"concepts":[{"id":"https://openalex.org/C45900066","wikidata":"https://www.wikidata.org/wiki/Q6944191","display_name":"Mutual coherence","level":3,"score":0.971147894859314},{"id":"https://openalex.org/C2781181686","wikidata":"https://www.wikidata.org/wiki/Q4226068","display_name":"Coherence (philosophical gambling strategy)","level":2,"score":0.788088321685791},{"id":"https://openalex.org/C124851039","wikidata":"https://www.wikidata.org/wiki/Q2665459","display_name":"Compressed sensing","level":2,"score":0.7860095500946045},{"id":"https://openalex.org/C147764199","wikidata":"https://www.wikidata.org/wiki/Q6865248","display_name":"Minification","level":2,"score":0.6710380911827087},{"id":"https://openalex.org/C152139883","wikidata":"https://www.wikidata.org/wiki/Q252973","display_name":"Mutual information","level":2,"score":0.6504217386245728},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6457831263542175},{"id":"https://openalex.org/C77553402","wikidata":"https://www.wikidata.org/wiki/Q13222579","display_name":"Upper and lower bounds","level":2,"score":0.5446609258651733},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5262600183486938},{"id":"https://openalex.org/C157972887","wikidata":"https://www.wikidata.org/wiki/Q463359","display_name":"Convex optimization","level":3,"score":0.48500344157218933},{"id":"https://openalex.org/C106487976","wikidata":"https://www.wikidata.org/wiki/Q685816","display_name":"Matrix (chemical analysis)","level":2,"score":0.4731655716896057},{"id":"https://openalex.org/C112680207","wikidata":"https://www.wikidata.org/wiki/Q714886","display_name":"Regular polygon","level":2,"score":0.3755660057067871},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3678407073020935},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2814555764198303},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.21879270672798157},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"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/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/camsap45676.2019.9022467","is_oa":false,"landing_page_url":"https://doi.org/10.1109/camsap45676.2019.9022467","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE 8th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP)","raw_type":"proceedings-article"},{"id":"pmh:oai:tubiblio.ulb.tu-darmstadt.de:117562","is_oa":false,"landing_page_url":"http://tubiblio.ulb.tu-darmstadt.de/117562/","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":19,"referenced_works":["https://openalex.org/W1543643375","https://openalex.org/W1582108895","https://openalex.org/W1989650254","https://openalex.org/W1996856541","https://openalex.org/W2116148865","https://openalex.org/W2117029045","https://openalex.org/W2126351339","https://openalex.org/W2132702454","https://openalex.org/W2134033146","https://openalex.org/W2534721159","https://openalex.org/W2793783688","https://openalex.org/W2918885136","https://openalex.org/W2962845584","https://openalex.org/W2962959174","https://openalex.org/W2963335828","https://openalex.org/W4250955649","https://openalex.org/W6677584844","https://openalex.org/W6728291232","https://openalex.org/W6760122977"],"related_works":["https://openalex.org/W2117029045","https://openalex.org/W2013554099","https://openalex.org/W2904632759","https://openalex.org/W2208932071","https://openalex.org/W2938353867","https://openalex.org/W4310679452","https://openalex.org/W3135825101","https://openalex.org/W2810730439","https://openalex.org/W1922757677","https://openalex.org/W2027740031"],"abstract_inverted_index":{"In":[0,54],"compressed":[1],"sensing,":[2],"sensing":[3,61],"matrices":[4],"with":[5],"low":[6],"mutual":[7,23,39,67,100],"coherence":[8,24,40,68,101],"should":[9],"be":[10],"employed":[11],"to":[12,103],"improve":[13],"the":[14,20,37,42,50,71,95,104],"signal":[15],"recoverability.":[16],"To":[17],"this":[18,55],"end,":[19],"problem":[21,74],"of":[22],"minimization":[25],"has":[26],"attracted":[27],"attention":[28],"recently":[29],"and":[30,77],"several":[31],"methods":[32],"have":[33],"been":[34],"proposed.":[35],"However,":[36],"achievable":[38],"by":[41],"existing":[43,110],"methods,":[44],"in":[45],"general,":[46],"is":[47,75],"far":[48],"from":[49],"known":[51,105],"theoretical":[52],"lower-bound.":[53],"paper,":[56],"we":[57],"propose":[58],"a":[59,99],"novel":[60],"matrix":[62],"design":[63],"method":[64,97],"based":[65],"on":[66],"minimization,":[69],"where":[70],"original":[72],"nonconvex":[73],"relaxed":[76],"divided":[78],"into":[79],"convex":[80],"sub-problems,":[81],"which":[82],"are":[83],"updated":[84],"iteratively":[85],"using":[86],"an":[87],"alternating":[88],"optimization":[89],"technique.":[90],"Simulation":[91],"results":[92],"reveal":[93],"that":[94],"proposed":[96],"achieves":[98],"close":[102],"lower-bound":[106],"while":[107],"outperforming":[108],"other":[109],"methods.":[111]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}