{"id":"https://openalex.org/W4391183660","doi":"https://doi.org/10.1109/asicon58565.2023.10396012","title":"FPGA Implementation of High Critical Sparsity Orthogonal Matching Pursuit Algorithm for Compressed Sensing Reconstruction","display_name":"FPGA Implementation of High Critical Sparsity Orthogonal Matching Pursuit Algorithm for Compressed Sensing Reconstruction","publication_year":2023,"publication_date":"2023-10-24","ids":{"openalex":"https://openalex.org/W4391183660","doi":"https://doi.org/10.1109/asicon58565.2023.10396012"},"language":"en","primary_location":{"id":"doi:10.1109/asicon58565.2023.10396012","is_oa":false,"landing_page_url":"https://doi.org/10.1109/asicon58565.2023.10396012","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE 15th International Conference on ASIC (ASICON)","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/A5069649023","display_name":"Sujuan Liu","orcid":"https://orcid.org/0000-0002-8904-1305"},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Sujuan Liu","raw_affiliation_strings":["Beijing University of Technology,College of Microelectronics,Beijing,China,100124"],"affiliations":[{"raw_affiliation_string":"Beijing University of Technology,College of Microelectronics,Beijing,China,100124","institution_ids":["https://openalex.org/I37796252"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100348393","display_name":"Jiajun Ma","orcid":"https://orcid.org/0000-0002-4293-3808"},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiajun Ma","raw_affiliation_strings":["Beijing University of Technology,College of Microelectronics,Beijing,China,100124"],"affiliations":[{"raw_affiliation_string":"Beijing University of Technology,College of Microelectronics,Beijing,China,100124","institution_ids":["https://openalex.org/I37796252"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101050005","display_name":"Yichen Liang","orcid":"https://orcid.org/0009-0007-9382-7267"},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yichen Liang","raw_affiliation_strings":["Beijing University of Technology,College of Microelectronics,Beijing,China,100124"],"affiliations":[{"raw_affiliation_string":"Beijing University of Technology,College of Microelectronics,Beijing,China,100124","institution_ids":["https://openalex.org/I37796252"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5069649023"],"corresponding_institution_ids":["https://openalex.org/I37796252"],"apc_list":null,"apc_paid":null,"fwci":0.2168,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.50648486,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"4"},"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/T12015","display_name":"Photoacoustic and Ultrasonic Imaging","score":0.9995999932289124,"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/T11739","display_name":"Microwave Imaging and Scattering Analysis","score":0.9983999729156494,"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/matching-pursuit","display_name":"Matching pursuit","score":0.8924539089202881},{"id":"https://openalex.org/keywords/compressed-sensing","display_name":"Compressed sensing","score":0.8188420534133911},{"id":"https://openalex.org/keywords/signal-reconstruction","display_name":"Signal reconstruction","score":0.7153509855270386},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.688536524772644},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.6568431258201599},{"id":"https://openalex.org/keywords/backtracking","display_name":"Backtracking","score":0.5861198902130127},{"id":"https://openalex.org/keywords/reconstruction-algorithm","display_name":"Reconstruction algorithm","score":0.5638242959976196},{"id":"https://openalex.org/keywords/nyquist\u2013shannon-sampling-theorem","display_name":"Nyquist\u2013Shannon sampling theorem","score":0.561679482460022},{"id":"https://openalex.org/keywords/nyquist-rate","display_name":"Nyquist rate","score":0.5590841174125671},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.5465540289878845},{"id":"https://openalex.org/keywords/field-programmable-gate-array","display_name":"Field-programmable gate array","score":0.47764885425567627},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.4632946252822876},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.41835296154022217},{"id":"https://openalex.org/keywords/iterative-reconstruction","display_name":"Iterative reconstruction","score":0.362496554851532},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.2474106252193451},{"id":"https://openalex.org/keywords/signal-processing","display_name":"Signal processing","score":0.24203220009803772},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2161233127117157},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2011406123638153},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.16320201754570007},{"id":"https://openalex.org/keywords/digital-signal-processing","display_name":"Digital signal processing","score":0.12481167912483215},{"id":"https://openalex.org/keywords/computer-hardware","display_name":"Computer hardware","score":0.11457547545433044},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.07160884141921997}],"concepts":[{"id":"https://openalex.org/C156872377","wikidata":"https://www.wikidata.org/wiki/Q6786281","display_name":"Matching pursuit","level":3,"score":0.8924539089202881},{"id":"https://openalex.org/C124851039","wikidata":"https://www.wikidata.org/wiki/Q2665459","display_name":"Compressed sensing","level":2,"score":0.8188420534133911},{"id":"https://openalex.org/C70958404","wikidata":"https://www.wikidata.org/wiki/Q7512728","display_name":"Signal reconstruction","level":4,"score":0.7153509855270386},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.688536524772644},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.6568431258201599},{"id":"https://openalex.org/C156884757","wikidata":"https://www.wikidata.org/wiki/Q798554","display_name":"Backtracking","level":2,"score":0.5861198902130127},{"id":"https://openalex.org/C2779898584","wikidata":"https://www.wikidata.org/wiki/Q7820109","display_name":"Reconstruction algorithm","level":3,"score":0.5638242959976196},{"id":"https://openalex.org/C288623","wikidata":"https://www.wikidata.org/wiki/Q679800","display_name":"Nyquist\u2013Shannon sampling theorem","level":2,"score":0.561679482460022},{"id":"https://openalex.org/C65914096","wikidata":"https://www.wikidata.org/wiki/Q6273772","display_name":"Nyquist rate","level":4,"score":0.5590841174125671},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.5465540289878845},{"id":"https://openalex.org/C42935608","wikidata":"https://www.wikidata.org/wiki/Q190411","display_name":"Field-programmable gate array","level":2,"score":0.47764885425567627},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.4632946252822876},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.41835296154022217},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.362496554851532},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.2474106252193451},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.24203220009803772},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2161233127117157},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2011406123638153},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.16320201754570007},{"id":"https://openalex.org/C84462506","wikidata":"https://www.wikidata.org/wiki/Q173142","display_name":"Digital signal processing","level":2,"score":0.12481167912483215},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.11457547545433044},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.07160884141921997},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/asicon58565.2023.10396012","is_oa":false,"landing_page_url":"https://doi.org/10.1109/asicon58565.2023.10396012","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE 15th International Conference on ASIC (ASICON)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities","score":0.5}],"awards":[],"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":8,"referenced_works":["https://openalex.org/W2029919765","https://openalex.org/W2065321782","https://openalex.org/W2127271355","https://openalex.org/W2136020472","https://openalex.org/W2160979406","https://openalex.org/W2903465684","https://openalex.org/W2974891937","https://openalex.org/W4250955649"],"related_works":["https://openalex.org/W2582234883","https://openalex.org/W2354465635","https://openalex.org/W2541304322","https://openalex.org/W3103056594","https://openalex.org/W2536408609","https://openalex.org/W4391183660","https://openalex.org/W2354167425","https://openalex.org/W2363310732","https://openalex.org/W1977164877","https://openalex.org/W2024417168"],"abstract_inverted_index":{"Compressed":[0],"sensing":[1],"(CS)":[2],"avoids":[3],"the":[4,7,30,49,61,88,106],"limitation":[5],"of":[6,63,90,114,123,130],"Nyquist":[8],"sampling":[9,12],"theorem":[10],"on":[11,29],"rate,":[13],"it":[14],"allows":[15],"to":[16,47],"reconstruct":[17],"sparse":[18],"signals":[19],"sampled":[20],"at":[21,119],"a":[22,36,110,120,127],"sub-Nyquist":[23],"frequency.":[24],"In":[25],"this":[26],"paper,":[27],"based":[28],"orthogonal":[31,40],"matching":[32,41],"pursuit":[33,42],"(OMP)":[34],"algorithm,":[35],"high":[37],"critical":[38],"sparsity":[39],"(HCSOMP)":[43],"algorithm":[44,54],"is":[45,76],"proposed":[46,72,107],"improve":[48],"recovery":[50],"performance.":[51],"The":[52,71,101],"HCSOMP":[53],"achieves":[55,109],"more":[56],"accurate":[57],"reconstruction":[58,73,102,128],"performance":[59],"through":[60],"combination":[62],"extended":[64],"potential":[65],"support":[66],"set":[67],"and":[68,78,97,117],"backtracking":[69],"strategy.":[70],"processor":[74],"architecture":[75,108],"designed":[77],"implemented":[79],"using":[80],"Virtex":[81],"UltraScale+":[82],"HBM":[83],"VCU":[84],"128":[85],"FPGA":[86],"under":[87],"configuration":[89],"M":[91],"=":[92,95,99],"256,":[93],"N":[94],"1024,":[96],"K":[98],"36.":[100],"results":[103],"show":[104],"that":[105],"signal-to-reconstruction-noise":[111],"ratio":[112],"(SRNR)":[113],"21.21":[115],"dB":[116],"runs":[118],"clock":[121],"frequency":[122],"198.4":[124],"MHz":[125],"with":[126],"time":[129],"360.4":[131],"\u03bcs.":[132]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}