{"id":"https://openalex.org/W1516607892","doi":"https://doi.org/10.1109/tsp.2015.2434328","title":"Projection Matrix Optimization for Sparse Signals in Structured Noise","display_name":"Projection Matrix Optimization for Sparse Signals in Structured Noise","publication_year":2015,"publication_date":"2015-05-18","ids":{"openalex":"https://openalex.org/W1516607892","doi":"https://doi.org/10.1109/tsp.2015.2434328","mag":"1516607892"},"language":"en","primary_location":{"id":"doi:10.1109/tsp.2015.2434328","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsp.2015.2434328","pdf_url":null,"source":{"id":"https://openalex.org/S168680287","display_name":"IEEE Transactions on Signal Processing","issn_l":"1053-587X","issn":["1053-587X","1941-0476"],"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 Signal Processing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"http://hdl.handle.net/11336/13715","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5056823655","display_name":"Sebasti\u00e1n Pazos","orcid":"https://orcid.org/0000-0002-7354-4530"},"institutions":[{"id":"https://openalex.org/I4210128307","display_name":"Centro Cient\u00edfico Tecnol\u00f3gico - Tucum\u00e1n","ror":"https://ror.org/03w8cva37","country_code":"AR","type":"facility","lineage":["https://openalex.org/I151201029","https://openalex.org/I4210123736","https://openalex.org/I4210128307","https://openalex.org/I4387155568"]},{"id":"https://openalex.org/I874386039","display_name":"Universidad Nacional de La Plata","ror":"https://ror.org/01tjs6929","country_code":"AR","type":"education","lineage":["https://openalex.org/I874386039"]}],"countries":["AR"],"is_corresponding":false,"raw_author_name":"Sebastian Pazos","raw_affiliation_strings":["CONICET","UNLP, Research Institute of Electronics, Control and Signal Processing (LEICI), La Plata, Argentina","Research Institute of Electronics, Control and Signal Processing (LEICI), UNLP, La Plata, Argentina"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CONICET","institution_ids":["https://openalex.org/I4210128307"]},{"raw_affiliation_string":"UNLP, Research Institute of Electronics, Control and Signal Processing (LEICI), La Plata, Argentina","institution_ids":[]},{"raw_affiliation_string":"Research Institute of Electronics, Control and Signal Processing (LEICI), UNLP, La Plata, Argentina","institution_ids":["https://openalex.org/I874386039"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040139347","display_name":"Mart\u00edn Hurtado","orcid":"https://orcid.org/0000-0002-6834-2918"},"institutions":[{"id":"https://openalex.org/I4210128307","display_name":"Centro Cient\u00edfico Tecnol\u00f3gico - Tucum\u00e1n","ror":"https://ror.org/03w8cva37","country_code":"AR","type":"facility","lineage":["https://openalex.org/I151201029","https://openalex.org/I4210123736","https://openalex.org/I4210128307","https://openalex.org/I4387155568"]},{"id":"https://openalex.org/I874386039","display_name":"Universidad Nacional de La Plata","ror":"https://ror.org/01tjs6929","country_code":"AR","type":"education","lineage":["https://openalex.org/I874386039"]}],"countries":["AR"],"is_corresponding":false,"raw_author_name":"Martin Hurtado","raw_affiliation_strings":["CONICET","UNLP, Research Institute of Electronics, Control and Signal Processing (LEICI), La Plata, Argentina","Research Institute of Electronics, Control and Signal Processing (LEICI), UNLP, La Plata, Argentina"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CONICET","institution_ids":["https://openalex.org/I4210128307"]},{"raw_affiliation_string":"UNLP, Research Institute of Electronics, Control and Signal Processing (LEICI), La Plata, Argentina","institution_ids":[]},{"raw_affiliation_string":"Research Institute of Electronics, Control and Signal Processing (LEICI), UNLP, La Plata, Argentina","institution_ids":["https://openalex.org/I874386039"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020838397","display_name":"Carlos H. Muravchik","orcid":"https://orcid.org/0000-0003-2954-6675"},"institutions":[{"id":"https://openalex.org/I874386039","display_name":"Universidad Nacional de La Plata","ror":"https://ror.org/01tjs6929","country_code":"AR","type":"education","lineage":["https://openalex.org/I874386039"]}],"countries":["AR"],"is_corresponding":false,"raw_author_name":"Carlos H. Muravchik","raw_affiliation_strings":["CIC-PBA","UNLP, Research Institute of Electronics, Control and Signal Processing (LEICI), La Plata, Argentina","Research Institute of Electronics, Control and Signal Processing (LEICI), UNLP, La Plata, Argentina"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CIC-PBA","institution_ids":[]},{"raw_affiliation_string":"UNLP, Research Institute of Electronics, Control and Signal Processing (LEICI), La Plata, Argentina","institution_ids":[]},{"raw_affiliation_string":"Research Institute of Electronics, Control and Signal Processing (LEICI), UNLP, La Plata, Argentina","institution_ids":["https://openalex.org/I874386039"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5031212309","display_name":"Arye Nehorai","orcid":"https://orcid.org/0000-0002-9055-9865"},"institutions":[{"id":"https://openalex.org/I204465549","display_name":"Washington University in St. Louis","ror":"https://ror.org/01yc7t268","country_code":"US","type":"education","lineage":["https://openalex.org/I204465549"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Arye Nehorai","raw_affiliation_strings":["Dept. of Electrical and Systems Engineering, Washington University, St. Louis, USA","[Department of Electrical and Systems Engineering, Washington University, St. Louis, USA]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Electrical and Systems Engineering, Washington University, St. Louis, USA","institution_ids":["https://openalex.org/I204465549"]},{"raw_affiliation_string":"[Department of Electrical and Systems Engineering, Washington University, St. Louis, USA]","institution_ids":["https://openalex.org/I204465549"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.01934166,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"63","issue":"15","first_page":"3902","last_page":"3913"},"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/T10891","display_name":"Radar Systems and Signal Processing","score":0.9990000128746033,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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/computer-science","display_name":"Computer science","score":0.7168344259262085},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6994231939315796},{"id":"https://openalex.org/keywords/clutter","display_name":"Clutter","score":0.6312445402145386},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5826919078826904},{"id":"https://openalex.org/keywords/sparse-matrix","display_name":"Sparse matrix","score":0.5387301445007324},{"id":"https://openalex.org/keywords/sparse-approximation","display_name":"Sparse approximation","score":0.4799613952636719},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.45013558864593506},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.42346176505088806},{"id":"https://openalex.org/keywords/matrix-decomposition","display_name":"Matrix decomposition","score":0.4198184609413147},{"id":"https://openalex.org/keywords/synthetic-data","display_name":"Synthetic data","score":0.41765207052230835},{"id":"https://openalex.org/keywords/signal-reconstruction","display_name":"Signal reconstruction","score":0.4107775092124939},{"id":"https://openalex.org/keywords/signal-processing","display_name":"Signal processing","score":0.38003090023994446},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3590959310531616},{"id":"https://openalex.org/keywords/eigenvalues-and-eigenvectors","display_name":"Eigenvalues and eigenvectors","score":0.12369087338447571}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7168344259262085},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6994231939315796},{"id":"https://openalex.org/C132094186","wikidata":"https://www.wikidata.org/wiki/Q641585","display_name":"Clutter","level":3,"score":0.6312445402145386},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5826919078826904},{"id":"https://openalex.org/C56372850","wikidata":"https://www.wikidata.org/wiki/Q1050404","display_name":"Sparse matrix","level":3,"score":0.5387301445007324},{"id":"https://openalex.org/C124066611","wikidata":"https://www.wikidata.org/wiki/Q28684319","display_name":"Sparse approximation","level":2,"score":0.4799613952636719},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.45013558864593506},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.42346176505088806},{"id":"https://openalex.org/C42355184","wikidata":"https://www.wikidata.org/wiki/Q1361088","display_name":"Matrix decomposition","level":3,"score":0.4198184609413147},{"id":"https://openalex.org/C160920958","wikidata":"https://www.wikidata.org/wiki/Q7662746","display_name":"Synthetic data","level":2,"score":0.41765207052230835},{"id":"https://openalex.org/C70958404","wikidata":"https://www.wikidata.org/wiki/Q7512728","display_name":"Signal reconstruction","level":4,"score":0.4107775092124939},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.38003090023994446},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3590959310531616},{"id":"https://openalex.org/C158693339","wikidata":"https://www.wikidata.org/wiki/Q190524","display_name":"Eigenvalues and eigenvectors","level":2,"score":0.12369087338447571},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"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/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tsp.2015.2434328","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsp.2015.2434328","pdf_url":null,"source":{"id":"https://openalex.org/S168680287","display_name":"IEEE Transactions on Signal Processing","issn_l":"1053-587X","issn":["1053-587X","1941-0476"],"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 Signal Processing","raw_type":"journal-article"},{"id":"pmh:oai:ri.conicet.gov.ar:11336/13715","is_oa":true,"landing_page_url":"http://hdl.handle.net/11336/13715","pdf_url":null,"source":{"id":"https://openalex.org/S4306402455","display_name":"CONICET Digital (CONICET)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210148385","host_organization_name":"Biomedicine Research Institute of Buenos Aires - CONICET - Partner Institute of the Max Planck Society","host_organization_lineage":["https://openalex.org/I4210148385"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-sa","license_id":"https://openalex.org/licenses/cc-by-nc-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":{"id":"pmh:oai:ri.conicet.gov.ar:11336/13715","is_oa":true,"landing_page_url":"http://hdl.handle.net/11336/13715","pdf_url":null,"source":{"id":"https://openalex.org/S4306402455","display_name":"CONICET Digital (CONICET)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210148385","host_organization_name":"Biomedicine Research Institute of Buenos Aires - CONICET - Partner Institute of the Max Planck Society","host_organization_lineage":["https://openalex.org/I4210148385"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-sa","license_id":"https://openalex.org/licenses/cc-by-nc-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3008927529","display_name":"CIF:  Small:  Algorithms, Performance and Design for Sparsity-Enforced Learning","funder_award_id":"1014908","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G4556204269","display_name":null,"funder_award_id":"11-I-166","funder_id":"https://openalex.org/F4320322227","funder_display_name":"Universidad Nacional de La Plata"},{"id":"https://openalex.org/G867148652","display_name":"CIF:  IHCS:  Medium:  Collaborative Research:  Design and Implementation of Position-Encoded 3D Microarrays","funder_award_id":"0963742","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320322227","display_name":"Universidad Nacional de La Plata","ror":"https://ror.org/01tjs6929"},{"id":"https://openalex.org/F4320337345","display_name":"Office of Naval Research","ror":"https://ror.org/00rk2pe57"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":43,"referenced_works":["https://openalex.org/W1480147926","https://openalex.org/W1480376833","https://openalex.org/W1648445109","https://openalex.org/W1965392255","https://openalex.org/W1969674753","https://openalex.org/W1986931325","https://openalex.org/W2006035071","https://openalex.org/W2009581709","https://openalex.org/W2031839259","https://openalex.org/W2034260606","https://openalex.org/W2045374736","https://openalex.org/W2073225221","https://openalex.org/W2101971242","https://openalex.org/W2102129292","https://openalex.org/W2104987624","https://openalex.org/W2106940203","https://openalex.org/W2110455751","https://openalex.org/W2110768232","https://openalex.org/W2119275775","https://openalex.org/W2123368913","https://openalex.org/W2127271355","https://openalex.org/W2128651842","https://openalex.org/W2133151824","https://openalex.org/W2134033146","https://openalex.org/W2140775152","https://openalex.org/W2142455269","https://openalex.org/W2143163931","https://openalex.org/W2144141949","https://openalex.org/W2146854131","https://openalex.org/W2148154358","https://openalex.org/W2152860130","https://openalex.org/W2154332973","https://openalex.org/W2164696938","https://openalex.org/W2164701845","https://openalex.org/W2170366951","https://openalex.org/W2171980229","https://openalex.org/W2296319761","https://openalex.org/W2296616510","https://openalex.org/W2595142274","https://openalex.org/W4250589301","https://openalex.org/W4250955649","https://openalex.org/W6628635396","https://openalex.org/W6684942582"],"related_works":["https://openalex.org/W2091883426","https://openalex.org/W2174948646","https://openalex.org/W3173235360","https://openalex.org/W2024017047","https://openalex.org/W4318256793","https://openalex.org/W2594370889","https://openalex.org/W2390720471","https://openalex.org/W2051410394","https://openalex.org/W4317698318","https://openalex.org/W1577074073"],"abstract_inverted_index":{"We":[0,50],"consider":[1],"the":[2,16,35,56,62,69,80,89,93,96,99,103,109,146,163,166,175,181,184],"problem":[3],"of":[4,18,28,58,71,98,102,130,145,156,165,183],"estimating":[5],"a":[6,21,25,42,47,52,85,127,143,187,195,200],"signal":[7,17,82],"which":[8],"has":[9,115],"been":[10],"corrupted":[11],"with":[12,106,194,199],"structured":[13],"noise.":[14],"When":[15],"interest":[19],"accepts":[20],"sparse":[22,104],"representation,":[23],"only":[24,66],"small":[26],"number":[27],"measurements":[29,38],"are":[30,39],"required":[31],"to":[32,41,54,67,73,78,108],"retain":[33],"all":[34],"information.":[36],"The":[37,112],"mapped":[40],"lower":[43],"dimensional":[44],"space":[45],"through":[46,186],"projection":[48],"matrix.":[49],"propose":[51],"method":[53,114,185],"optimize":[55],"design":[57],"this":[59,137],"matrix":[60],"where":[61],"objective":[63],"is":[64,149],"not":[65],"reduce":[68,88],"amount":[70],"data":[72,193],"be":[74],"processed":[75],"but":[76],"also":[77,141],"reject":[79],"undesired":[81],"components.":[83],"As":[84],"result,":[86],"we":[87,140,161,179],"computation":[90],"time":[91],"and":[92,133,169,198],"error":[94],"on":[95],"estimation":[97],"unknown":[100],"parameters":[101,117],"model,":[105],"respect":[107],"uncompressed":[110],"data.":[111],"proposed":[113,167],"tunable":[116],"that":[118,148],"can":[119],"affect":[120],"its":[121],"performance.":[122,157],"Optimal":[123],"tuning":[124],"would":[125],"require":[126],"comprehensive":[128],"study":[129],"parameter":[131],"variations":[132],"options.":[134],"To":[135],"avoid":[136],"learning":[138],"burden,":[139],"introduce":[142],"variant":[144],"algorithm":[147],"free":[150],"from":[151],"tuning,":[152],"without":[153],"significant":[154],"loss":[155],"Using":[158],"synthetic":[159,201],"data,":[160],"analyze":[162],"performance":[164,182],"algorithms":[168],"their":[170],"robustness":[171],"against":[172],"errors":[173],"in":[174],"model":[176],"parameters.":[177],"Additionally,":[178],"illustrate":[180],"radar":[188],"application":[189],"using":[190],"real":[191],"clutter":[192],"still":[196],"target":[197],"moving":[202],"target.":[203]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":3}],"updated_date":"2026-08-06T08:24:18.245995","created_date":"2025-10-10T00:00:00"}