{"id":"https://openalex.org/W2123044827","doi":"https://doi.org/10.1109/ecctd.2011.6043336","title":"Foveated Compressed Sensing","display_name":"Foveated Compressed Sensing","publication_year":2011,"publication_date":"2011-08-01","ids":{"openalex":"https://openalex.org/W2123044827","doi":"https://doi.org/10.1109/ecctd.2011.6043336","mag":"2123044827"},"language":"en","primary_location":{"id":"doi:10.1109/ecctd.2011.6043336","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ecctd.2011.6043336","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 20th European Conference on Circuit Theory and Design (ECCTD)","raw_type":"proceedings-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/A5077406158","display_name":"Iulian B. Ciocoiu","orcid":"https://orcid.org/0000-0002-6935-3387"},"institutions":[{"id":"https://openalex.org/I4210108695","display_name":"Gheorghe Asachi Technical University of Ia\u0219i","ror":"https://ror.org/014zxnz40","country_code":"RO","type":"education","lineage":["https://openalex.org/I4210108695"]}],"countries":["RO"],"is_corresponding":true,"raw_author_name":"Iulian B. Ciocoiu","raw_affiliation_strings":["Faculty of Electronics, Telecommunications, and Information Technology, Gheorghe Asachi Technical University, Iasi, Romania","Faculty of Electronics, Telecommunications, and Information Technology, \u201cGheorghe Asachi\u201d Technical University, Iasi, Romania"],"affiliations":[{"raw_affiliation_string":"Faculty of Electronics, Telecommunications, and Information Technology, Gheorghe Asachi Technical University, Iasi, Romania","institution_ids":["https://openalex.org/I4210108695"]},{"raw_affiliation_string":"Faculty of Electronics, Telecommunications, and Information Technology, \u201cGheorghe Asachi\u201d Technical University, Iasi, Romania","institution_ids":["https://openalex.org/I4210108695"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5077406158"],"corresponding_institution_ids":["https://openalex.org/I4210108695"],"apc_list":null,"apc_paid":null,"fwci":1.0595,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.78569299,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"29","last_page":"32"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9986000061035156,"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/T10323","display_name":"Analog and Mixed-Signal Circuit Design","score":0.9984999895095825,"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/compressed-sensing","display_name":"Compressed sensing","score":0.731615424156189},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6745705008506775},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6355445384979248},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.627392053604126},{"id":"https://openalex.org/keywords/variable","display_name":"Variable (mathematics)","score":0.5909903645515442},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.5413181781768799},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5254553556442261},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.5237966775894165},{"id":"https://openalex.org/keywords/operator","display_name":"Operator (biology)","score":0.5201647281646729},{"id":"https://openalex.org/keywords/compression","display_name":"Compression (physics)","score":0.48551273345947266},{"id":"https://openalex.org/keywords/iterative-reconstruction","display_name":"Iterative reconstruction","score":0.4665747582912445},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4313231110572815},{"id":"https://openalex.org/keywords/compression-ratio","display_name":"Compression ratio","score":0.41830235719680786},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.40097224712371826},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.25392043590545654},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.08667242527008057}],"concepts":[{"id":"https://openalex.org/C124851039","wikidata":"https://www.wikidata.org/wiki/Q2665459","display_name":"Compressed sensing","level":2,"score":0.731615424156189},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6745705008506775},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6355445384979248},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.627392053604126},{"id":"https://openalex.org/C182365436","wikidata":"https://www.wikidata.org/wiki/Q50701","display_name":"Variable (mathematics)","level":2,"score":0.5909903645515442},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.5413181781768799},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5254553556442261},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.5237966775894165},{"id":"https://openalex.org/C17020691","wikidata":"https://www.wikidata.org/wiki/Q139677","display_name":"Operator (biology)","level":5,"score":0.5201647281646729},{"id":"https://openalex.org/C180016635","wikidata":"https://www.wikidata.org/wiki/Q2712821","display_name":"Compression (physics)","level":2,"score":0.48551273345947266},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.4665747582912445},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4313231110572815},{"id":"https://openalex.org/C25797200","wikidata":"https://www.wikidata.org/wiki/Q828137","display_name":"Compression ratio","level":3,"score":0.41830235719680786},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.40097224712371826},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.25392043590545654},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.08667242527008057},{"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/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"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/C158448853","wikidata":"https://www.wikidata.org/wiki/Q425218","display_name":"Repressor","level":4,"score":0.0},{"id":"https://openalex.org/C86339819","wikidata":"https://www.wikidata.org/wiki/Q407384","display_name":"Transcription factor","level":3,"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/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C171146098","wikidata":"https://www.wikidata.org/wiki/Q124192","display_name":"Automotive engineering","level":1,"score":0.0},{"id":"https://openalex.org/C511840579","wikidata":"https://www.wikidata.org/wiki/Q12757","display_name":"Internal combustion engine","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ecctd.2011.6043336","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ecctd.2011.6043336","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 20th European Conference on Circuit Theory and Design (ECCTD)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5299999713897705,"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W1977252496","https://openalex.org/W2004217976","https://openalex.org/W2011710850","https://openalex.org/W2020503492","https://openalex.org/W2033419225","https://openalex.org/W2050466007","https://openalex.org/W2053691921","https://openalex.org/W2097474301","https://openalex.org/W2101675075","https://openalex.org/W2104655872","https://openalex.org/W2109550800","https://openalex.org/W2109831981","https://openalex.org/W2116277445","https://openalex.org/W2125680629","https://openalex.org/W2137198385","https://openalex.org/W2140499889","https://openalex.org/W2145012779","https://openalex.org/W2151103935","https://openalex.org/W2154483232","https://openalex.org/W2163430278","https://openalex.org/W2168206274","https://openalex.org/W2172169111","https://openalex.org/W2244252827","https://openalex.org/W2289917018","https://openalex.org/W2296616510","https://openalex.org/W2954811775","https://openalex.org/W3125735862","https://openalex.org/W4213092547","https://openalex.org/W4250955649","https://openalex.org/W4285719527","https://openalex.org/W6765286134"],"related_works":["https://openalex.org/W2896778670","https://openalex.org/W4383723869","https://openalex.org/W2161302774","https://openalex.org/W2388481516","https://openalex.org/W4384298135","https://openalex.org/W4383722264","https://openalex.org/W1723410974","https://openalex.org/W3007688875","https://openalex.org/W3209669196","https://openalex.org/W2766695209"],"abstract_inverted_index":{"Combining":[0],"the":[1,8,22,44],"principles":[2],"behind":[3],"Compressed":[4],"Sensing":[5],"theory":[6],"with":[7],"possibility":[9],"of":[10,17,43,50,53,62,71],"implementing":[11],"variable":[12,41],"spatial":[13],"resolution":[14],"by":[15,21],"means":[16],"an":[18],"operator":[19],"inspired":[20],"human":[23],"visual":[24],"system":[25],"may":[26],"yield":[27],"significant":[28],"compression":[29,66],"performances":[30],"on":[31,68],"both":[32],"1D":[33],"and":[34,65,74],"2D":[35],"signals.":[36],"The":[37],"solution":[38],"provides":[39],"spatially":[40],"quality":[42],"reconstructed":[45],"information,":[46],"enabling":[47],"better":[48],"approximation":[49],"specific":[51],"regions":[52],"interest.":[54],"Two":[55],"distinct":[56],"algorithms":[57],"are":[58],"compared":[59],"in":[60],"terms":[61],"reconstruction":[63],"error":[64],"ratio":[67],"a":[69],"set":[70],"ECG":[72],"records":[73],"natural":[75],"images.":[76]},"counts_by_year":[{"year":2017,"cited_by_count":1},{"year":2014,"cited_by_count":2},{"year":2013,"cited_by_count":1}],"updated_date":"2026-03-25T13:04:00.132906","created_date":"2025-10-10T00:00:00"}