{"id":"https://openalex.org/W2903465684","doi":"https://doi.org/10.1109/tvlsi.2018.2879884","title":"An Efficient FPGA Implementation of Orthogonal Matching Pursuit With Square-Root-Free QR Decomposition","display_name":"An Efficient FPGA Implementation of Orthogonal Matching Pursuit With Square-Root-Free QR Decomposition","publication_year":2018,"publication_date":"2018-12-04","ids":{"openalex":"https://openalex.org/W2903465684","doi":"https://doi.org/10.1109/tvlsi.2018.2879884","mag":"2903465684"},"language":"en","primary_location":{"id":"doi:10.1109/tvlsi.2018.2879884","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tvlsi.2018.2879884","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/A5069736192","display_name":"Xiang Ge","orcid":"https://orcid.org/0000-0001-5975-8260"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]},{"id":"https://openalex.org/I4210132426","display_name":"Shanghai Fudan Microelectronics (China)","ror":"https://ror.org/02vfj3j86","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210132426"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xiang Ge","raw_affiliation_strings":["State Key Laboratory of Application Specific Integrated Circuits and System, School of Microelectronics, Fudan University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Application Specific Integrated Circuits and System, School of Microelectronics, Fudan University, Shanghai, China","institution_ids":["https://openalex.org/I4210132426","https://openalex.org/I24943067"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045464812","display_name":"Fan Yang","orcid":"https://orcid.org/0000-0003-2164-8175"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]},{"id":"https://openalex.org/I4210132426","display_name":"Shanghai Fudan Microelectronics (China)","ror":"https://ror.org/02vfj3j86","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210132426"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fan Yang","raw_affiliation_strings":["State Key Laboratory of Application Specific Integrated Circuits and System, School of Microelectronics, Fudan University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Application Specific Integrated Circuits and System, School of Microelectronics, Fudan University, Shanghai, China","institution_ids":["https://openalex.org/I4210132426","https://openalex.org/I24943067"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020841047","display_name":"Hengliang Zhu","orcid":"https://orcid.org/0000-0002-0338-9256"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]},{"id":"https://openalex.org/I4210132426","display_name":"Shanghai Fudan Microelectronics (China)","ror":"https://ror.org/02vfj3j86","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210132426"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hengliang Zhu","raw_affiliation_strings":["State Key Laboratory of Application Specific Integrated Circuits and System, School of Microelectronics, Fudan University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Application Specific Integrated Circuits and System, School of Microelectronics, Fudan University, Shanghai, China","institution_ids":["https://openalex.org/I4210132426","https://openalex.org/I24943067"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064213921","display_name":"Xuan Zeng","orcid":"https://orcid.org/0000-0002-8097-4053"},"institutions":[{"id":"https://openalex.org/I4210132426","display_name":"Shanghai Fudan Microelectronics (China)","ror":"https://ror.org/02vfj3j86","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210132426"]},{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuan Zeng","raw_affiliation_strings":["State Key Laboratory of Application Specific Integrated Circuits and System, School of Microelectronics, Fudan University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Application Specific Integrated Circuits and System, School of Microelectronics, Fudan University, Shanghai, China","institution_ids":["https://openalex.org/I4210132426","https://openalex.org/I24943067"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5054960059","display_name":"Dian Zhou","orcid":"https://orcid.org/0000-0002-2648-5232"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dian Zhou","raw_affiliation_strings":["Fudan University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Fudan University, Shanghai, China","institution_ids":["https://openalex.org/I24943067"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5069736192"],"corresponding_institution_ids":["https://openalex.org/I24943067","https://openalex.org/I4210132426"],"apc_list":null,"apc_paid":null,"fwci":2.0268,"has_fulltext":false,"cited_by_count":30,"citation_normalized_percentile":{"value":0.858787,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"27","issue":"3","first_page":"611","last_page":"623"},"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":0.9987999796867371,"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/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"}}],"keywords":[{"id":"https://openalex.org/keywords/matching-pursuit","display_name":"Matching pursuit","score":0.749962568283081},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.726253867149353},{"id":"https://openalex.org/keywords/field-programmable-gate-array","display_name":"Field-programmable gate array","score":0.7014980316162109},{"id":"https://openalex.org/keywords/qr-decomposition","display_name":"QR decomposition","score":0.6511328220367432},{"id":"https://openalex.org/keywords/gate-array","display_name":"Gate array","score":0.5800433158874512},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.5532011985778809},{"id":"https://openalex.org/keywords/compressed-sensing","display_name":"Compressed sensing","score":0.4666094183921814},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4519224166870117},{"id":"https://openalex.org/keywords/square-root","display_name":"Square root","score":0.44877564907073975},{"id":"https://openalex.org/keywords/signal-reconstruction","display_name":"Signal reconstruction","score":0.44508928060531616},{"id":"https://openalex.org/keywords/signal-processing","display_name":"Signal processing","score":0.3938104510307312},{"id":"https://openalex.org/keywords/computer-hardware","display_name":"Computer hardware","score":0.35274314880371094},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1649266481399536},{"id":"https://openalex.org/keywords/digital-signal-processing","display_name":"Digital signal processing","score":0.156347393989563}],"concepts":[{"id":"https://openalex.org/C156872377","wikidata":"https://www.wikidata.org/wiki/Q6786281","display_name":"Matching pursuit","level":3,"score":0.749962568283081},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.726253867149353},{"id":"https://openalex.org/C42935608","wikidata":"https://www.wikidata.org/wiki/Q190411","display_name":"Field-programmable gate array","level":2,"score":0.7014980316162109},{"id":"https://openalex.org/C188060507","wikidata":"https://www.wikidata.org/wiki/Q653242","display_name":"QR decomposition","level":3,"score":0.6511328220367432},{"id":"https://openalex.org/C114237110","wikidata":"https://www.wikidata.org/wiki/Q114901","display_name":"Gate array","level":3,"score":0.5800433158874512},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.5532011985778809},{"id":"https://openalex.org/C124851039","wikidata":"https://www.wikidata.org/wiki/Q2665459","display_name":"Compressed sensing","level":2,"score":0.4666094183921814},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4519224166870117},{"id":"https://openalex.org/C11577676","wikidata":"https://www.wikidata.org/wiki/Q134237","display_name":"Square root","level":2,"score":0.44877564907073975},{"id":"https://openalex.org/C70958404","wikidata":"https://www.wikidata.org/wiki/Q7512728","display_name":"Signal reconstruction","level":4,"score":0.44508928060531616},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.3938104510307312},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.35274314880371094},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1649266481399536},{"id":"https://openalex.org/C84462506","wikidata":"https://www.wikidata.org/wiki/Q173142","display_name":"Digital signal processing","level":2,"score":0.156347393989563},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"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/C158693339","wikidata":"https://www.wikidata.org/wiki/Q190524","display_name":"Eigenvalues and eigenvectors","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tvlsi.2018.2879884","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tvlsi.2018.2879884","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":[{"id":"https://metadata.un.org/sdg/9","score":0.47999998927116394,"display_name":"Industry, innovation and infrastructure"}],"awards":[{"id":"https://openalex.org/G5041706605","display_name":null,"funder_award_id":"61822402","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5581824960","display_name":null,"funder_award_id":"61574044","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6147047934","display_name":null,"funder_award_id":"61628402","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6282195825","display_name":null,"funder_award_id":"61474026","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6975089314","display_name":null,"funder_award_id":"61774045","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7222835113","display_name":null,"funder_award_id":"61574046","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":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W1485721176","https://openalex.org/W1536628953","https://openalex.org/W1981745143","https://openalex.org/W2018259397","https://openalex.org/W2029816571","https://openalex.org/W2029919765","https://openalex.org/W2040549255","https://openalex.org/W2042245048","https://openalex.org/W2058233764","https://openalex.org/W2064030771","https://openalex.org/W2074876225","https://openalex.org/W2078204800","https://openalex.org/W2085917592","https://openalex.org/W2104266187","https://openalex.org/W2110578927","https://openalex.org/W2119667497","https://openalex.org/W2127271355","https://openalex.org/W2128268678","https://openalex.org/W2136020472","https://openalex.org/W2140122025","https://openalex.org/W2143319979","https://openalex.org/W2163985430","https://openalex.org/W2296616510","https://openalex.org/W2353809413","https://openalex.org/W2511195772","https://openalex.org/W2573864534","https://openalex.org/W2612114349","https://openalex.org/W2618157045","https://openalex.org/W2963033110","https://openalex.org/W4250955649","https://openalex.org/W6632280376","https://openalex.org/W6737272422"],"related_works":["https://openalex.org/W2541304322","https://openalex.org/W2378166785","https://openalex.org/W2543316627","https://openalex.org/W2382972663","https://openalex.org/W3195902396","https://openalex.org/W2388133936","https://openalex.org/W2775868657","https://openalex.org/W2244779222","https://openalex.org/W3025108422","https://openalex.org/W4283515525"],"abstract_inverted_index":{"Compressive":[0],"sensing":[1],"(CS)":[2],"is":[3,21,77,111],"a":[4,46,138,163,169],"novel":[5],"signal":[6,13,28,182],"processing":[7],"technology":[8],"to":[9,69,80,86,118,120,188],"reconstruct":[10],"the":[11,24,32,72,82,94,108,121,135,148,157,181,189],"sparse":[12],"at":[14,162],"sub-Nyquist":[15],"rate.":[16],"Orthogonal":[17],"matching":[18],"pursuit":[19],"(OMP)":[20],"one":[22],"of":[23,101,165,172],"most":[25],"widely":[26],"used":[27],"reconstruction":[29,49,170,183],"algorithms.":[30],"However,":[31],"least":[33],"square":[34,83,96],"problem":[35],"(LSP)":[36],"in":[37],"OMP":[38],"algorithm":[39,50,61],"limits":[40],"its":[41],"performance.":[42],"This":[43],"paper":[44],"presents":[45],"fast":[47],"CS":[48],"implemented":[51],"on":[52,130],"field-programmable":[53],"gate":[54],"array":[55],"(FPGA)":[56],"using":[57],"OMP.":[58],"The":[59,74,90,126,152],"proposed":[60,91,127,158],"adopts":[62],"an":[63,144],"incremental":[64,75],"QR":[65],"decomposition":[66],"(QRD)":[67],"method":[68],"efficiently":[70],"solve":[71],"LSP.":[73],"QRD":[76],"further":[78],"optimized":[79],"eliminate":[81],"root":[84,97],"operation":[85],"facilitate":[87],"hardware":[88,123],"implementation.":[89],"architecture":[92,159],"avoiding":[93],"complex":[95],"unit":[98],"mainly":[99],"consists":[100],"some":[102],"more":[103],"basic":[104],"computing":[105,109],"units,":[106],"where":[107],"process":[110],"broken":[112],"down":[113],"into":[114],"several":[115],"simple":[116],"operations":[117],"map":[119],"corresponding":[122],"for":[124,175],"pipelining.":[125],"implementation":[128],"based":[129],"Xilinx":[131],"Kintex-7":[132],"FPGA":[133],"exploits":[134],"parallelism":[136],"by":[137,185],"well-planned":[139],"workload":[140],"schedule":[141],"and":[142,150],"reaches":[143],"optimal":[145],"tradeoff":[146],"between":[147],"latency":[149],"frequency.":[151],"experimental":[153],"results":[154],"demonstrate":[155],"that":[156],"can":[160],"run":[161],"frequency":[164],"210":[166],"MHz":[167],"with":[168],"time":[171],"238":[173],"\u03bcs":[174],"36-sparse":[176],"1024-length":[177],"signal,":[178],"which":[179],"improves":[180],"speed":[184],"1.43\u00d7":[186],"compared":[187],"state-of-the-art":[190],"implementations.":[191]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":8},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
