{"id":"https://openalex.org/W2618157045","doi":"https://doi.org/10.1145/3056481","title":"An FPGA-Based Architecture for High-Speed Compressed Signal Reconstruction","display_name":"An FPGA-Based Architecture for High-Speed Compressed Signal Reconstruction","publication_year":2017,"publication_date":"2017-05-26","ids":{"openalex":"https://openalex.org/W2618157045","doi":"https://doi.org/10.1145/3056481","mag":"2618157045"},"language":"en","primary_location":{"id":"doi:10.1145/3056481","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3056481","pdf_url":null,"source":{"id":"https://openalex.org/S136160450","display_name":"ACM Transactions on Embedded Computing Systems","issn_l":"1539-9087","issn":["1539-9087","1558-3465"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Embedded Computing Systems","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/A5056504669","display_name":"Guoxian Huang","orcid":"https://orcid.org/0000-0002-4418-9250"},"institutions":[{"id":"https://openalex.org/I140172145","display_name":"University of Connecticut","ror":"https://ror.org/02der9h97","country_code":"US","type":"education","lineage":["https://openalex.org/I140172145"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Guoxian Huang","raw_affiliation_strings":["University of Connecticut, Connecticut, U.S.A"],"affiliations":[{"raw_affiliation_string":"University of Connecticut, Connecticut, U.S.A","institution_ids":["https://openalex.org/I140172145"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100435848","display_name":"Lei Wang","orcid":"https://orcid.org/0000-0002-0961-0441"},"institutions":[{"id":"https://openalex.org/I140172145","display_name":"University of Connecticut","ror":"https://ror.org/02der9h97","country_code":"US","type":"education","lineage":["https://openalex.org/I140172145"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Lei Wang","raw_affiliation_strings":["University of Connecticut, Connecticut, U.S.A"],"affiliations":[{"raw_affiliation_string":"University of Connecticut, Connecticut, U.S.A","institution_ids":["https://openalex.org/I140172145"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5056504669"],"corresponding_institution_ids":["https://openalex.org/I140172145"],"apc_list":null,"apc_paid":null,"fwci":2.6411,"has_fulltext":false,"cited_by_count":17,"citation_normalized_percentile":{"value":0.89156278,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"16","issue":"3","first_page":"1","last_page":"23"},"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":0.9988999962806702,"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/T11210","display_name":"Mathematical Analysis and Transform Methods","score":0.9973999857902527,"subfield":{"id":"https://openalex.org/subfields/2604","display_name":"Applied Mathematics"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8660365343093872},{"id":"https://openalex.org/keywords/field-programmable-gate-array","display_name":"Field-programmable gate array","score":0.704211950302124},{"id":"https://openalex.org/keywords/compressed-sensing","display_name":"Compressed sensing","score":0.6650371551513672},{"id":"https://openalex.org/keywords/matching-pursuit","display_name":"Matching pursuit","score":0.6472020149230957},{"id":"https://openalex.org/keywords/signal-reconstruction","display_name":"Signal reconstruction","score":0.5282653570175171},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.5109668970108032},{"id":"https://openalex.org/keywords/computer-hardware","display_name":"Computer hardware","score":0.5081174373626709},{"id":"https://openalex.org/keywords/signal-processing","display_name":"Signal processing","score":0.47924306988716125},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.44035810232162476},{"id":"https://openalex.org/keywords/hardware-architecture","display_name":"Hardware architecture","score":0.4112949073314667},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.38026708364486694},{"id":"https://openalex.org/keywords/computer-engineering","display_name":"Computer engineering","score":0.36449897289276123},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.3595736622810364},{"id":"https://openalex.org/keywords/digital-signal-processing","display_name":"Digital signal processing","score":0.2613305449485779},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.23919710516929626},{"id":"https://openalex.org/keywords/software","display_name":"Software","score":0.1101977527141571}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8660365343093872},{"id":"https://openalex.org/C42935608","wikidata":"https://www.wikidata.org/wiki/Q190411","display_name":"Field-programmable gate array","level":2,"score":0.704211950302124},{"id":"https://openalex.org/C124851039","wikidata":"https://www.wikidata.org/wiki/Q2665459","display_name":"Compressed sensing","level":2,"score":0.6650371551513672},{"id":"https://openalex.org/C156872377","wikidata":"https://www.wikidata.org/wiki/Q6786281","display_name":"Matching pursuit","level":3,"score":0.6472020149230957},{"id":"https://openalex.org/C70958404","wikidata":"https://www.wikidata.org/wiki/Q7512728","display_name":"Signal reconstruction","level":4,"score":0.5282653570175171},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.5109668970108032},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.5081174373626709},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.47924306988716125},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.44035810232162476},{"id":"https://openalex.org/C65232700","wikidata":"https://www.wikidata.org/wiki/Q5656403","display_name":"Hardware architecture","level":3,"score":0.4112949073314667},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.38026708364486694},{"id":"https://openalex.org/C113775141","wikidata":"https://www.wikidata.org/wiki/Q428691","display_name":"Computer engineering","level":1,"score":0.36449897289276123},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.3595736622810364},{"id":"https://openalex.org/C84462506","wikidata":"https://www.wikidata.org/wiki/Q173142","display_name":"Digital signal processing","level":2,"score":0.2613305449485779},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.23919710516929626},{"id":"https://openalex.org/C2777904410","wikidata":"https://www.wikidata.org/wiki/Q7397","display_name":"Software","level":2,"score":0.1101977527141571},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3056481","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3056481","pdf_url":null,"source":{"id":"https://openalex.org/S136160450","display_name":"ACM Transactions on Embedded Computing Systems","issn_l":"1539-9087","issn":["1539-9087","1558-3465"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Embedded Computing Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4300000071525574,"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":41,"referenced_works":["https://openalex.org/W1482297123","https://openalex.org/W1597174992","https://openalex.org/W1619010420","https://openalex.org/W1848264314","https://openalex.org/W1999455876","https://openalex.org/W2010315317","https://openalex.org/W2018259397","https://openalex.org/W2028781966","https://openalex.org/W2029919765","https://openalex.org/W2031614119","https://openalex.org/W2032351298","https://openalex.org/W2046658845","https://openalex.org/W2051388965","https://openalex.org/W2058163019","https://openalex.org/W2074876225","https://openalex.org/W2078204800","https://openalex.org/W2085452113","https://openalex.org/W2085917592","https://openalex.org/W2099100030","https://openalex.org/W2107906890","https://openalex.org/W2108299551","https://openalex.org/W2109449402","https://openalex.org/W2109855984","https://openalex.org/W2115549875","https://openalex.org/W2115723093","https://openalex.org/W2118216984","https://openalex.org/W2119667497","https://openalex.org/W2122548617","https://openalex.org/W2127271355","https://openalex.org/W2129131372","https://openalex.org/W2132622200","https://openalex.org/W2137628444","https://openalex.org/W2141116650","https://openalex.org/W2157904509","https://openalex.org/W2160979406","https://openalex.org/W2163985430","https://openalex.org/W2168625863","https://openalex.org/W2296616510","https://openalex.org/W2798909945","https://openalex.org/W4250955649","https://openalex.org/W4302564868"],"related_works":["https://openalex.org/W2378166785","https://openalex.org/W2382972663","https://openalex.org/W2388133936","https://openalex.org/W2465351041","https://openalex.org/W2340242818","https://openalex.org/W1555738523","https://openalex.org/W4200575023","https://openalex.org/W2012574959","https://openalex.org/W2103001330","https://openalex.org/W2946877649"],"abstract_inverted_index":{"Compressive":[0],"Sensing":[1],"(CS)":[2],"is":[3,36,86,128],"an":[4,56],"emerging":[5],"research":[6],"area":[7],"that":[8],"allows":[9],"efficient":[10,137],"signal":[11,34,49,70,93,145,153],"acquisition":[12],"under":[13],"the":[14,69,74,89,108,131,136,152,162,167],"sub-Nyquist":[15],"rate":[16],"while":[17,142],"still":[18,37],"promising":[19],"reliable":[20],"data":[21],"recovery.":[22,50,146],"However,":[23],"practical":[24],"applications":[25],"of":[26,73,84,91,102,139],"CS":[27,79],"in":[28,107],"hardware":[29,123,140,169],"platforms":[30],"are":[31],"limited":[32],"as":[33,62],"reconstruction":[35],"challenging":[38],"due":[39],"to":[40,61,67,87,116,157],"its":[41],"high":[42],"computational":[43],"complexity,":[44],"especially":[45],"for":[46,120],"autonomous":[47],"real-time":[48],"In":[51],"this":[52],"article,":[53],"we":[54],"propose":[55],"algorithmic":[57],"transformation":[58],"technique":[59],"referred":[60],"Matrix":[63],"Inversion":[64],"Bypass":[65],"(MIB)":[66],"improve":[68],"recovery":[71,154],"efficiency":[72],"Orthogonal":[75],"Matching":[76],"Pursuit":[77],"(OMP)-based":[78],"reconstruction.":[80],"The":[81,111,147],"basic":[82],"idea":[83],"MIB":[85,113],"decouple":[88],"computations":[90],"intermediate":[92],"estimates":[94],"and":[95],"matrix":[96],"inversions,":[97],"thereby":[98],"enabling":[99],"parallel":[100,118],"processing":[101],"these":[103],"two":[104],"time-consuming":[105],"operations":[106],"OMP":[109],"algorithm.":[110],"proposed":[112,148],"naturally":[114],"leads":[115],"a":[117],"architecture":[119,149],"high-speed":[121,144],"dedicated":[122],"implementations.":[124],"An":[125],"FPGA-based":[126],"implementation":[127,164],"developed":[129],"with":[130],"optimized":[132],"structure":[133],"aimed":[134],"at":[135,155],"utilization":[138],"resources":[141],"realizing":[143],"can":[150],"perform":[151],"up":[156],"1.4":[158],"\u00d7":[159],"faster":[160],"than":[161],"OMP-based":[163],"using":[165],"almost":[166],"same":[168],"resources.":[170]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":6},{"year":2018,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}