{"id":"https://openalex.org/W3094014085","doi":"https://doi.org/10.1109/tvlsi.2020.3030906","title":"FPGA Implementation of an Improved OMP for Compressive Sensing Reconstruction","display_name":"FPGA Implementation of an Improved OMP for Compressive Sensing Reconstruction","publication_year":2020,"publication_date":"2020-10-23","ids":{"openalex":"https://openalex.org/W3094014085","doi":"https://doi.org/10.1109/tvlsi.2020.3030906","mag":"3094014085"},"language":"en","primary_location":{"id":"doi:10.1109/tvlsi.2020.3030906","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tvlsi.2020.3030906","pdf_url":null,"source":{"id":"https://openalex.org/S37538908","display_name":"IEEE Transactions on Very Large Scale Integration (VLSI) Systems","issn_l":"1063-8210","issn":["1063-8210","1557-9999"],"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 Very Large Scale Integration (VLSI) 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/A5100361659","display_name":"Jun Li","orcid":"https://orcid.org/0000-0001-7055-7873"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jun Li","raw_affiliation_strings":["College of Computer, National University of Defense Technology, Changsha, China"],"affiliations":[{"raw_affiliation_string":"College of Computer, National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035437657","display_name":"Paul Chow","orcid":"https://orcid.org/0000-0002-0523-7117"},"institutions":[{"id":"https://openalex.org/I185261750","display_name":"University of Toronto","ror":"https://ror.org/03dbr7087","country_code":"CA","type":"education","lineage":["https://openalex.org/I185261750"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Paul Chow","raw_affiliation_strings":["University of Toronto, Toronto, ON, Canada"],"affiliations":[{"raw_affiliation_string":"University of Toronto, Toronto, ON, Canada","institution_ids":["https://openalex.org/I185261750"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043043084","display_name":"Yuanxi Peng","orcid":null},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuanxi Peng","raw_affiliation_strings":["College of Computer, National University of Defense Technology, Changsha, China"],"affiliations":[{"raw_affiliation_string":"College of Computer, National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5003323583","display_name":"Tian Jiang","orcid":"https://orcid.org/0000-0003-3343-5548"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tian Jiang","raw_affiliation_strings":["College of Advanced Interdisciplinary Studies, National University of Defense Technology, Changsha, China"],"affiliations":[{"raw_affiliation_string":"College of Advanced Interdisciplinary Studies, National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100361659"],"corresponding_institution_ids":["https://openalex.org/I170215575"],"apc_list":null,"apc_paid":null,"fwci":2.8718,"has_fulltext":false,"cited_by_count":30,"citation_normalized_percentile":{"value":0.9121098,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":99},"biblio":{"volume":"29","issue":"2","first_page":"259","last_page":"272"},"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/T10323","display_name":"Analog and Mixed-Signal Circuit Design","score":0.9991999864578247,"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/T11032","display_name":"VLSI and Analog Circuit Testing","score":0.9972000122070312,"subfield":{"id":"https://openalex.org/subfields/1708","display_name":"Hardware and Architecture"},"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/field-programmable-gate-array","display_name":"Field-programmable gate array","score":0.8193074464797974},{"id":"https://openalex.org/keywords/matching-pursuit","display_name":"Matching pursuit","score":0.745521605014801},{"id":"https://openalex.org/keywords/orthogonalization","display_name":"Orthogonalization","score":0.7302438616752625},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6985092163085938},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.6124217510223389},{"id":"https://openalex.org/keywords/gate-array","display_name":"Gate array","score":0.5835452079772949},{"id":"https://openalex.org/keywords/compressed-sensing","display_name":"Compressed sensing","score":0.5274560451507568},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5115512013435364},{"id":"https://openalex.org/keywords/high-level-synthesis","display_name":"High-level synthesis","score":0.47475412487983704},{"id":"https://openalex.org/keywords/signal-reconstruction","display_name":"Signal reconstruction","score":0.4633752405643463},{"id":"https://openalex.org/keywords/matrix","display_name":"Matrix (chemical analysis)","score":0.45930254459381104},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.34330326318740845},{"id":"https://openalex.org/keywords/computer-hardware","display_name":"Computer hardware","score":0.31931373476982117},{"id":"https://openalex.org/keywords/signal-processing","display_name":"Signal processing","score":0.30578720569610596},{"id":"https://openalex.org/keywords/digital-signal-processing","display_name":"Digital signal processing","score":0.25330811738967896}],"concepts":[{"id":"https://openalex.org/C42935608","wikidata":"https://www.wikidata.org/wiki/Q190411","display_name":"Field-programmable gate array","level":2,"score":0.8193074464797974},{"id":"https://openalex.org/C156872377","wikidata":"https://www.wikidata.org/wiki/Q6786281","display_name":"Matching pursuit","level":3,"score":0.745521605014801},{"id":"https://openalex.org/C47559304","wikidata":"https://www.wikidata.org/wiki/Q1702189","display_name":"Orthogonalization","level":2,"score":0.7302438616752625},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6985092163085938},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.6124217510223389},{"id":"https://openalex.org/C114237110","wikidata":"https://www.wikidata.org/wiki/Q114901","display_name":"Gate array","level":3,"score":0.5835452079772949},{"id":"https://openalex.org/C124851039","wikidata":"https://www.wikidata.org/wiki/Q2665459","display_name":"Compressed sensing","level":2,"score":0.5274560451507568},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5115512013435364},{"id":"https://openalex.org/C58013763","wikidata":"https://www.wikidata.org/wiki/Q5754574","display_name":"High-level synthesis","level":3,"score":0.47475412487983704},{"id":"https://openalex.org/C70958404","wikidata":"https://www.wikidata.org/wiki/Q7512728","display_name":"Signal reconstruction","level":4,"score":0.4633752405643463},{"id":"https://openalex.org/C106487976","wikidata":"https://www.wikidata.org/wiki/Q685816","display_name":"Matrix (chemical analysis)","level":2,"score":0.45930254459381104},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.34330326318740845},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.31931373476982117},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.30578720569610596},{"id":"https://openalex.org/C84462506","wikidata":"https://www.wikidata.org/wiki/Q173142","display_name":"Digital signal processing","level":2,"score":0.25330811738967896},{"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/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","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":1,"locations":[{"id":"doi:10.1109/tvlsi.2020.3030906","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tvlsi.2020.3030906","pdf_url":null,"source":{"id":"https://openalex.org/S37538908","display_name":"IEEE Transactions on Very Large Scale Integration (VLSI) Systems","issn_l":"1063-8210","issn":["1063-8210","1557-9999"],"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 Very Large Scale Integration (VLSI) Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G6586189173","display_name":null,"funder_award_id":"61803375","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7928189182","display_name":null,"funder_award_id":"91648204","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W1592825415","https://openalex.org/W1974774078","https://openalex.org/W2018259397","https://openalex.org/W2029919765","https://openalex.org/W2058163019","https://openalex.org/W2058233764","https://openalex.org/W2074876225","https://openalex.org/W2085917592","https://openalex.org/W2127271355","https://openalex.org/W2143319979","https://openalex.org/W2151693816","https://openalex.org/W2166029537","https://openalex.org/W2271624625","https://openalex.org/W2296616510","https://openalex.org/W2511195772","https://openalex.org/W2564830268","https://openalex.org/W2576230203","https://openalex.org/W2618157045","https://openalex.org/W2755590089","https://openalex.org/W2767521713","https://openalex.org/W2782074210","https://openalex.org/W2783307671","https://openalex.org/W2795922511","https://openalex.org/W2887663194","https://openalex.org/W2891122644","https://openalex.org/W2899222132","https://openalex.org/W2908174087","https://openalex.org/W2922642173","https://openalex.org/W2961799636","https://openalex.org/W4250955649","https://openalex.org/W6635476090"],"related_works":["https://openalex.org/W2541304322","https://openalex.org/W2378166785","https://openalex.org/W2382972663","https://openalex.org/W3195902396","https://openalex.org/W2543316627","https://openalex.org/W2388133936","https://openalex.org/W3009774740","https://openalex.org/W2775868657","https://openalex.org/W2244779222","https://openalex.org/W1969436875"],"abstract_inverted_index":{"This":[0],"article":[1],"proposes":[2],"an":[3],"improved":[4,205],"orthogonal":[5],"matching":[6],"pursuit":[7],"(OMP)":[8],"algorithm":[9,63,207],"and":[10,80,91,109,114,120,129,145,162,172,177,183],"its":[11],"implementation":[12,82],"with":[13,103,133,141,158,166,216,225],"Xilinx":[14],"Vivado":[15],"high-level":[16],"synthesis":[17],"(HLS).":[18],"We":[19],"use":[20],"the":[21,26,34,41,48,65,71,134,159,191,232],"Gram-Schmidt":[22],"orthogonalization":[23],"to":[24,39,190],"improve":[25],"update":[27],"process":[28],"of":[29,50,193],"signal":[30,35,67,85,102,140,165],"residuals":[31],"so":[32],"that":[33,60,203,228],"recovery":[36],"only":[37,209],"needs":[38],"perform":[40],"least-squares":[42],"solution":[43],"once,":[44],"which":[45,123,152,187],"greatly":[46],"reduces":[47],"number":[49,105,168],"matrix":[51,89],"operations":[52],"in":[53,118,149,181],"a":[54,78,100,127,138,154,163,211],"hardware":[55,195],"implementation.":[56],"Simulation":[57],"results":[58,192,201],"show":[59,202],"our":[61,204],"OMP":[62,73,206],"has":[64],"same":[66],"reconstruction":[68,213],"accuracy":[69],"as":[70],"original":[72],"algorithm.":[74],"Our":[75,200],"approach":[76],"provides":[77],"fast":[79],"reconfigurable":[81],"for":[83],"different":[84,87,92],"sizes,":[86,90],"measurement":[88,104,167],"sparsity":[93,110,173],"levels.":[94],"The":[95],"proposed":[96],"design":[97,238],"can":[98,223],"recover":[99],"128-length":[101],"M":[106,142,169],"=":[107,112,116,143,147,170,175,179],"32":[108],"K":[111,115,146,174,178],"5":[113],"8":[117,148],"13.2":[119],"21":[121],"\u03bcs,":[122,151,185],"is":[124,153],"at":[125],"least":[126],"21.9%":[128],"22.2%":[130],"improvement":[131,156],"compared":[132,157,215],"existing":[135,160,226],"HLS-based":[136,219],"works;":[137],"256-length":[139],"64":[144],"20.6":[150],"24%":[155],"work;":[161],"1024-length":[164],"256":[171],"12":[176],"36":[180],"150.3":[182],"423":[184],"respectively,":[186],"are":[188,229],"close":[189],"traditional":[194,233],"description":[196],"language":[197],"(HDL)":[198],"implementations.":[199],"not":[208],"offers":[210],"superior":[212],"time":[214],"other":[217],"recent":[218],"works":[220,227],"but":[221],"also":[222],"compete":[224],"implemented":[230],"using":[231],"field-programmable":[234],"gate":[235],"array":[236],"(FPGA)":[237],"route.":[239]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":7},{"year":2021,"cited_by_count":3}],"updated_date":"2026-03-27T14:29:43.386196","created_date":"2025-10-10T00:00:00"}
