{"id":"https://openalex.org/W2789794619","doi":"https://doi.org/10.1109/tci.2018.2884291","title":"Sensing Matrix Design via Capacity Maximization for Block Compressive Sensing Applications","display_name":"Sensing Matrix Design via Capacity Maximization for Block Compressive Sensing Applications","publication_year":2018,"publication_date":"2018-11-30","ids":{"openalex":"https://openalex.org/W2789794619","doi":"https://doi.org/10.1109/tci.2018.2884291","mag":"2789794619"},"language":"en","primary_location":{"id":"doi:10.1109/tci.2018.2884291","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tci.2018.2884291","pdf_url":null,"source":{"id":"https://openalex.org/S4210233665","display_name":"IEEE Transactions on Computational Imaging","issn_l":"2333-9403","issn":["2333-9403","2573-0436"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Computational Imaging","raw_type":"journal-article"},"type":"preprint","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1803.08186","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5037286209","display_name":"Richard Obermeier","orcid":null},"institutions":[{"id":"https://openalex.org/I12912129","display_name":"Northeastern University","ror":"https://ror.org/04t5xt781","country_code":"US","type":"education","lineage":["https://openalex.org/I12912129"]},{"id":"https://openalex.org/I169086405","display_name":"Winthrop University","ror":"https://ror.org/04mpzkf73","country_code":"US","type":"education","lineage":["https://openalex.org/I169086405"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Richard Obermeier","raw_affiliation_strings":["Electrical and Computer Engineering, Northeastern University, Winthrop, MA, USA"],"affiliations":[{"raw_affiliation_string":"Electrical and Computer Engineering, Northeastern University, Winthrop, MA, USA","institution_ids":["https://openalex.org/I169086405","https://openalex.org/I12912129"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5036097599","display_name":"Jos\u00e9 \u00c1. Mart\u00ednez-Lorenzo","orcid":"https://orcid.org/0000-0002-0924-8112"},"institutions":[{"id":"https://openalex.org/I12912129","display_name":"Northeastern University","ror":"https://ror.org/04t5xt781","country_code":"US","type":"education","lineage":["https://openalex.org/I12912129"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jose Angel Martinez-Lorenzo","raw_affiliation_strings":["Electrical & Computer Engineering Department and MIE, Northeastern University, Boston, MA, USA","[Electrical & Computer Engineering Department and MIE, Northeastern University, Boston, MA, USA]"],"affiliations":[{"raw_affiliation_string":"Electrical & Computer Engineering Department and MIE, Northeastern University, Boston, MA, USA","institution_ids":["https://openalex.org/I12912129"]},{"raw_affiliation_string":"[Electrical & Computer Engineering Department and MIE, Northeastern University, Boston, MA, USA]","institution_ids":["https://openalex.org/I12912129"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5037286209"],"corresponding_institution_ids":["https://openalex.org/I12912129","https://openalex.org/I169086405"],"apc_list":null,"apc_paid":null,"fwci":0.2081,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.4815113,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"5","issue":"1","first_page":"27","last_page":"36"},"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/T11739","display_name":"Microwave Imaging and Scattering Analysis","score":0.9995999932289124,"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"}},{"id":"https://openalex.org/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.9990000128746033,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/compressed-sensing","display_name":"Compressed sensing","score":0.933739423751831},{"id":"https://openalex.org/keywords/maximization","display_name":"Maximization","score":0.6888687610626221},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.6174315214157104},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6158085465431213},{"id":"https://openalex.org/keywords/matrix","display_name":"Matrix (chemical analysis)","score":0.6105289459228516},{"id":"https://openalex.org/keywords/signal-reconstruction","display_name":"Signal reconstruction","score":0.49592599272727966},{"id":"https://openalex.org/keywords/random-matrix","display_name":"Random matrix","score":0.48008137941360474},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.46416881680488586},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4273253083229065},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.31319838762283325},{"id":"https://openalex.org/keywords/signal-processing","display_name":"Signal processing","score":0.2167629897594452},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.20723900198936462},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.20070374011993408},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.13137823343276978},{"id":"https://openalex.org/keywords/computer-hardware","display_name":"Computer hardware","score":0.12634122371673584}],"concepts":[{"id":"https://openalex.org/C124851039","wikidata":"https://www.wikidata.org/wiki/Q2665459","display_name":"Compressed sensing","level":2,"score":0.933739423751831},{"id":"https://openalex.org/C2776330181","wikidata":"https://www.wikidata.org/wiki/Q18358244","display_name":"Maximization","level":2,"score":0.6888687610626221},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.6174315214157104},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6158085465431213},{"id":"https://openalex.org/C106487976","wikidata":"https://www.wikidata.org/wiki/Q685816","display_name":"Matrix (chemical analysis)","level":2,"score":0.6105289459228516},{"id":"https://openalex.org/C70958404","wikidata":"https://www.wikidata.org/wiki/Q7512728","display_name":"Signal reconstruction","level":4,"score":0.49592599272727966},{"id":"https://openalex.org/C64812099","wikidata":"https://www.wikidata.org/wiki/Q176604","display_name":"Random matrix","level":3,"score":0.48008137941360474},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.46416881680488586},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4273253083229065},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.31319838762283325},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.2167629897594452},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.20723900198936462},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.20070374011993408},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.13137823343276978},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.12634122371673584},{"id":"https://openalex.org/C84462506","wikidata":"https://www.wikidata.org/wiki/Q173142","display_name":"Digital signal processing","level":2,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"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/C158693339","wikidata":"https://www.wikidata.org/wiki/Q190524","display_name":"Eigenvalues and eigenvectors","level":2,"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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/tci.2018.2884291","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tci.2018.2884291","pdf_url":null,"source":{"id":"https://openalex.org/S4210233665","display_name":"IEEE Transactions on Computational Imaging","issn_l":"2333-9403","issn":["2333-9403","2573-0436"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Computational Imaging","raw_type":"journal-article"},{"id":"pmh:oai:arXiv.org:1803.08186","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1803.08186","pdf_url":"https://arxiv.org/pdf/1803.08186","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"mag:2789794619","is_oa":true,"landing_page_url":"https://arxiv.org/pdf/1803.08186.pdf","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"arXiv (Cornell University)","raw_type":null},{"id":"doi:10.48550/arxiv.1803.08186","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.1803.08186","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1803.08186","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1803.08186","pdf_url":"https://arxiv.org/pdf/1803.08186","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[{"score":0.6899999976158142,"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities"}],"awards":[{"id":"https://openalex.org/G1422115701","display_name":null,"funder_award_id":"1653671","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G7639337341","display_name":null,"funder_award_id":"DE-SC0017614","funder_id":"https://openalex.org/F4320306084","funder_display_name":"U.S. Department of Energy"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320306084","display_name":"U.S. Department of Energy","ror":"https://ror.org/01bj3aw27"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":37,"referenced_works":["https://openalex.org/W1613910437","https://openalex.org/W1840522340","https://openalex.org/W1969942955","https://openalex.org/W2015418199","https://openalex.org/W2017698840","https://openalex.org/W2045374736","https://openalex.org/W2057206714","https://openalex.org/W2098996169","https://openalex.org/W2099641086","https://openalex.org/W2100556411","https://openalex.org/W2104987624","https://openalex.org/W2110768232","https://openalex.org/W2111947179","https://openalex.org/W2128007683","https://openalex.org/W2135780853","https://openalex.org/W2145096794","https://openalex.org/W2147276092","https://openalex.org/W2157529069","https://openalex.org/W2164452299","https://openalex.org/W2169326247","https://openalex.org/W2189626654","https://openalex.org/W2354949621","https://openalex.org/W2395397254","https://openalex.org/W2401781956","https://openalex.org/W2507902151","https://openalex.org/W2589027757","https://openalex.org/W2741884985","https://openalex.org/W2766299588","https://openalex.org/W2962845584","https://openalex.org/W2963928800","https://openalex.org/W3029645440","https://openalex.org/W4211189800","https://openalex.org/W4250955649","https://openalex.org/W6638407488","https://openalex.org/W6677584844","https://openalex.org/W6686878958","https://openalex.org/W6842097421"],"related_works":["https://openalex.org/W2963335828","https://openalex.org/W2909658112","https://openalex.org/W2157715872","https://openalex.org/W2981034228","https://openalex.org/W1565317672","https://openalex.org/W2994477497","https://openalex.org/W1966655654","https://openalex.org/W2963163735","https://openalex.org/W2807886184","https://openalex.org/W1657457108","https://openalex.org/W2991006268","https://openalex.org/W3135414996","https://openalex.org/W3101700631","https://openalex.org/W1548535323","https://openalex.org/W2589027757","https://openalex.org/W1872800431","https://openalex.org/W2902516003","https://openalex.org/W2768023682","https://openalex.org/W2744780915","https://openalex.org/W2949187263"],"abstract_inverted_index":{"It":[0],"is":[1],"well-established":[2],"in":[3,44],"the":[4,35,52,63,68,104],"compressive":[5],"sensing":[6,10,42,58,72,86],"(CS)":[7],"literature":[8],"that":[9],"matrices":[11,43,59,87],"whose":[12],"elements":[13],"are":[14,98],"drawn":[15],"from":[16,40],"independent":[17],"random":[18,71],"distributions":[19],"exhibit":[20],"enhanced":[21,89],"reconstruction":[22,65,92,108],"capabilities.":[23,93],"In":[24],"many":[25],"CS":[26],"applications,":[27],"such":[28],"as":[29,67],"electromagnetic":[30],"imaging,":[31],"practical":[32],"limitations":[33],"on":[34],"measurement":[36],"system":[37],"prevent":[38],"one":[39,48],"generating":[41],"this":[45],"fashion.":[46],"Although":[47],"can":[49],"usually":[50],"randomize":[51],"measurements":[53],"to":[54,101],"some":[55],"degree,":[56],"these":[57],"do":[60],"not":[61],"achieve":[62],"same":[64],"performance":[66],"aforementioned":[69],"truly":[70],"matrices.":[73],"This":[74],"paper":[75],"presents":[76],"a":[77],"novel":[78],"method,":[79],"based":[80],"upon":[81],"capacity":[82],"maximization,":[83],"for":[84],"designing":[85],"with":[88],"block-sparse":[90],"signal":[91],"Additionally,":[94],"several":[95],"numerical":[96],"examples":[97],"also":[99],"included":[100],"show":[102],"how":[103],"proposed":[105],"method":[106],"enhances":[107],"performance.":[109]},"counts_by_year":[{"year":2018,"cited_by_count":1}],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-10-10T00:00:00"}