{"id":"https://openalex.org/W2883651283","doi":"https://doi.org/10.1109/lsp.2018.2860254","title":"Compressive Sensing Based Classification in the Presence of Intra-and Inter-Signal Correlation","display_name":"Compressive Sensing Based Classification in the Presence of Intra-and Inter-Signal Correlation","publication_year":2018,"publication_date":"2018-07-26","ids":{"openalex":"https://openalex.org/W2883651283","doi":"https://doi.org/10.1109/lsp.2018.2860254","mag":"2883651283"},"language":"en","primary_location":{"id":"doi:10.1109/lsp.2018.2860254","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2018.2860254","pdf_url":null,"source":{"id":"https://openalex.org/S120629676","display_name":"IEEE Signal Processing Letters","issn_l":"1070-9908","issn":["1070-9908","1558-2361"],"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 Signal Processing Letters","raw_type":"journal-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/A5060356785","display_name":"Thakshila Wimalajeewa","orcid":"https://orcid.org/0000-0003-3302-7851"},"institutions":[{"id":"https://openalex.org/I70983195","display_name":"Syracuse University","ror":"https://ror.org/025r5qe02","country_code":"US","type":"education","lineage":["https://openalex.org/I70983195"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Thakshila Wimalajeewa","raw_affiliation_strings":["Department of Electrical Engineering and Computer Science, Syracuse University, Syracuse, NY, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering and Computer Science, Syracuse University, Syracuse, NY, USA","institution_ids":["https://openalex.org/I70983195"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5018292481","display_name":"Pramod K. Varshney","orcid":"https://orcid.org/0000-0003-4504-5088"},"institutions":[{"id":"https://openalex.org/I70983195","display_name":"Syracuse University","ror":"https://ror.org/025r5qe02","country_code":"US","type":"education","lineage":["https://openalex.org/I70983195"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Pramod K. Varshney","raw_affiliation_strings":["Department of Electrical Engineering and Computer Science, Syracuse University, Syracuse, NY, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering and Computer Science, Syracuse University, Syracuse, NY, USA","institution_ids":["https://openalex.org/I70983195"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5060356785"],"corresponding_institution_ids":["https://openalex.org/I70983195"],"apc_list":null,"apc_paid":null,"fwci":1.6214,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.81465125,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"25","issue":"9","first_page":"1398","last_page":"1402"},"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/T12879","display_name":"Distributed Sensor Networks and Detection Algorithms","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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":0.9983999729156494,"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":0.7287452816963196},{"id":"https://openalex.org/keywords/random-projection","display_name":"Random projection","score":0.6588724851608276},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.6034606695175171},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5971505045890808},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4874146282672882},{"id":"https://openalex.org/keywords/signal-compression","display_name":"Signal compression","score":0.4813538193702698},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4751550853252411},{"id":"https://openalex.org/keywords/correlation","display_name":"Correlation","score":0.4645298421382904},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.4617391526699066},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4526765048503876},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.44555073976516724},{"id":"https://openalex.org/keywords/signal-reconstruction","display_name":"Signal reconstruction","score":0.4375784695148468},{"id":"https://openalex.org/keywords/signal-processing","display_name":"Signal processing","score":0.43045011162757874},{"id":"https://openalex.org/keywords/projection","display_name":"Projection (relational algebra)","score":0.4274858832359314},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.41988232731819153},{"id":"https://openalex.org/keywords/bhattacharyya-distance","display_name":"Bhattacharyya distance","score":0.4134780764579773},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3580211400985718},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.11702796816825867},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.0854889452457428},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.08451548218727112}],"concepts":[{"id":"https://openalex.org/C124851039","wikidata":"https://www.wikidata.org/wiki/Q2665459","display_name":"Compressed sensing","level":2,"score":0.7287452816963196},{"id":"https://openalex.org/C2777036070","wikidata":"https://www.wikidata.org/wiki/Q18393452","display_name":"Random projection","level":2,"score":0.6588724851608276},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.6034606695175171},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5971505045890808},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4874146282672882},{"id":"https://openalex.org/C2778192920","wikidata":"https://www.wikidata.org/wiki/Q16874989","display_name":"Signal compression","level":4,"score":0.4813538193702698},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4751550853252411},{"id":"https://openalex.org/C117220453","wikidata":"https://www.wikidata.org/wiki/Q5172842","display_name":"Correlation","level":2,"score":0.4645298421382904},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.4617391526699066},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4526765048503876},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.44555073976516724},{"id":"https://openalex.org/C70958404","wikidata":"https://www.wikidata.org/wiki/Q7512728","display_name":"Signal reconstruction","level":4,"score":0.4375784695148468},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.43045011162757874},{"id":"https://openalex.org/C57493831","wikidata":"https://www.wikidata.org/wiki/Q3134666","display_name":"Projection (relational algebra)","level":2,"score":0.4274858832359314},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.41988232731819153},{"id":"https://openalex.org/C24145651","wikidata":"https://www.wikidata.org/wiki/Q2901249","display_name":"Bhattacharyya distance","level":2,"score":0.4134780764579773},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3580211400985718},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.11702796816825867},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.0854889452457428},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.08451548218727112},{"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/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"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/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lsp.2018.2860254","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2018.2860254","pdf_url":null,"source":{"id":"https://openalex.org/S120629676","display_name":"IEEE Signal Processing Letters","issn_l":"1070-9908","issn":["1070-9908","1558-2361"],"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 Signal Processing Letters","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G7209838588","display_name":null,"funder_award_id":"FA8650-17-C-1154","funder_id":"https://openalex.org/F4320338294","funder_display_name":"Air Force Research Laboratory"}],"funders":[{"id":"https://openalex.org/F4320338294","display_name":"Air Force Research Laboratory","ror":"https://ror.org/02e2egq70"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W340244495","https://openalex.org/W1493357981","https://openalex.org/W1513976041","https://openalex.org/W1516726196","https://openalex.org/W1571401318","https://openalex.org/W1602102683","https://openalex.org/W2030449718","https://openalex.org/W2083993605","https://openalex.org/W2120961178","https://openalex.org/W2129638195","https://openalex.org/W2133651588","https://openalex.org/W2137198385","https://openalex.org/W2145096794","https://openalex.org/W2149197198","https://openalex.org/W2163599171","https://openalex.org/W2181292907","https://openalex.org/W2296616510","https://openalex.org/W2406566318","https://openalex.org/W2911681169","https://openalex.org/W2963774971","https://openalex.org/W3133603318","https://openalex.org/W3143867829","https://openalex.org/W4250955649","https://openalex.org/W4300263211","https://openalex.org/W6630735092","https://openalex.org/W6758972637","https://openalex.org/W6792868433"],"related_works":["https://openalex.org/W2378166785","https://openalex.org/W2156466545","https://openalex.org/W2379468505","https://openalex.org/W3104324607","https://openalex.org/W1481995007","https://openalex.org/W4206981968","https://openalex.org/W1987102304","https://openalex.org/W4285251805","https://openalex.org/W2537887767","https://openalex.org/W2382972663"],"abstract_inverted_index":{"In":[0,42,61,100],"this":[1],"letter,":[2],"we":[3,52],"investigate":[4],"the":[5,17,46,54,58,62,71,74,86,92,101,106,109],"problem":[6],"of":[7,19,64,103],"classification":[8,47],"with":[9,49,77,85,112],"high-dimensional":[10,31],"data":[11,79,114,128],"using":[12,35],"low-dimensional":[13],"random":[14,36],"projections":[15,37],"in":[16,38,73,89,108],"presence":[18,63,102],"inter-":[20],"and":[21],"intra-signal":[22,65,98],"correlations.":[23],"Each":[24],"sensor":[25],"is":[26,80,96,124],"assumed":[27],"to":[28,44,82,91,126],"compress":[29,127],"its":[30],"(Gaussian)":[32],"signal":[33],"vector":[34],"a":[39,68],"multisensor":[40],"setting.":[41],"order":[43],"quantify":[45],"performance":[48,59],"compressed":[50,78,113],"data,":[51],"consider":[53],"Bhattacharya":[55,75,110],"distance":[56,76,111],"as":[57],"metric.":[60],"correlation":[66],"at":[67,129],"given":[69],"sensor,":[70],"degradation":[72,107],"shown":[81],"be":[83],"nonlinear":[84],"compression":[87],"ratio":[88],"contrast":[90],"case":[93],"when":[94],"there":[95],"no":[97],"correlation.":[99],"inter-signal":[104],"correlation,":[105],"depends":[115],"on":[116],"whether":[117],"or":[118],"not":[119],"an":[120],"identical":[121],"projection":[122],"matrix":[123],"used":[125],"multiple":[130],"sensors.":[131]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}