{"id":"https://openalex.org/W4313350344","doi":"https://doi.org/10.1109/tsp.2023.3234460","title":"Spiking Sparse Recovery With Non-Convex Penalties","display_name":"Spiking Sparse Recovery With Non-Convex Penalties","publication_year":2022,"publication_date":"2022-01-01","ids":{"openalex":"https://openalex.org/W4313350344","doi":"https://doi.org/10.1109/tsp.2023.3234460"},"language":"en","primary_location":{"id":"doi:10.1109/tsp.2023.3234460","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/tsp.2023.3234460","pdf_url":null,"source":{"id":"https://openalex.org/S168680287","display_name":"IEEE Transactions on Signal Processing","issn_l":"1053-587X","issn":["1053-587X","1941-0476"],"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 Signal Processing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://inria.hal.science/hal-03917099","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100368916","display_name":"Xiang Zhang","orcid":"https://orcid.org/0000-0003-2004-5794"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiang Zhang","raw_affiliation_strings":["School of Electronic and Information, Wuhan University, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0003-2004-5794","affiliations":[{"raw_affiliation_string":"School of Electronic and Information, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100736935","display_name":"Lei Yu","orcid":"https://orcid.org/0000-0002-7329-4631"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lei Yu","raw_affiliation_strings":["School of Electronic and Information, Wuhan University, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0002-7329-4631","affiliations":[{"raw_affiliation_string":"School of Electronic and Information, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038119641","display_name":"Gang Zheng","orcid":"https://orcid.org/0000-0002-5671-7700"},"institutions":[{"id":"https://openalex.org/I1326498283","display_name":"Institut national de recherche en sciences et technologies du num\u00e9rique","ror":"https://ror.org/02kvxyf05","country_code":"FR","type":"government","lineage":["https://openalex.org/I1326498283"]},{"id":"https://openalex.org/I4210138412","display_name":"Centre Inria de l'Universit\u00e9 de Lille","ror":"https://ror.org/04eej9726","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1326498283","https://openalex.org/I4210138412"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Gang Zheng","raw_affiliation_strings":["INRIA Lille Villeneuve d'Ascq, Villeneuve d'Ascq, France"],"raw_orcid":"https://orcid.org/0000-0002-5671-7700","affiliations":[{"raw_affiliation_string":"INRIA Lille Villeneuve d'Ascq, Villeneuve d'Ascq, France","institution_ids":["https://openalex.org/I1326498283","https://openalex.org/I4210138412"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5005913897","display_name":"Yonina C. Eldar","orcid":"https://orcid.org/0000-0003-4358-5304"},"institutions":[{"id":"https://openalex.org/I53964585","display_name":"Weizmann Institute of Science","ror":"https://ror.org/0316ej306","country_code":"IL","type":"education","lineage":["https://openalex.org/I53964585"]}],"countries":["IL"],"is_corresponding":false,"raw_author_name":"Yonina C. Eldar","raw_affiliation_strings":["Weizmann Institute of Science, Rehovot, Israel"],"raw_orcid":"https://orcid.org/0000-0003-4358-5304","affiliations":[{"raw_affiliation_string":"Weizmann Institute of Science, Rehovot, Israel","institution_ids":["https://openalex.org/I53964585"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.149,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.41586014,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":95},"biblio":{"volume":"70","issue":null,"first_page":"6272","last_page":"6285"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10502","display_name":"Advanced Memory and Neural Computing","score":1.0,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"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/T10502","display_name":"Advanced Memory and Neural Computing","score":1.0,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/T12808","display_name":"Ferroelectric and Negative Capacitance Devices","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9991999864578247,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/solver","display_name":"Solver","score":0.5678682923316956},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.554470956325531},{"id":"https://openalex.org/keywords/regular-polygon","display_name":"Regular polygon","score":0.4605371952056885},{"id":"https://openalex.org/keywords/convex-optimization","display_name":"Convex optimization","score":0.42603591084480286},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.42160463333129883},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.4027623236179352},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3250715732574463},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2935486435890198}],"concepts":[{"id":"https://openalex.org/C2778770139","wikidata":"https://www.wikidata.org/wiki/Q1966904","display_name":"Solver","level":2,"score":0.5678682923316956},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.554470956325531},{"id":"https://openalex.org/C112680207","wikidata":"https://www.wikidata.org/wiki/Q714886","display_name":"Regular polygon","level":2,"score":0.4605371952056885},{"id":"https://openalex.org/C157972887","wikidata":"https://www.wikidata.org/wiki/Q463359","display_name":"Convex optimization","level":3,"score":0.42603591084480286},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.42160463333129883},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.4027623236179352},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3250715732574463},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2935486435890198},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tsp.2023.3234460","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/tsp.2023.3234460","pdf_url":null,"source":{"id":"https://openalex.org/S168680287","display_name":"IEEE Transactions on Signal Processing","issn_l":"1053-587X","issn":["1053-587X","1941-0476"],"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 Signal Processing","raw_type":"journal-article"},{"id":"pmh:oai:HAL:hal-03917099v1","is_oa":true,"landing_page_url":"https://inria.hal.science/hal-03917099","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Transactions on Signal Processing, 2022, 70, pp.6272-6285. ⟨10.1109/TSP.2023.3234460⟩","raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":{"id":"pmh:oai:HAL:hal-03917099v1","is_oa":true,"landing_page_url":"https://inria.hal.science/hal-03917099","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Transactions on Signal Processing, 2022, 70, pp.6272-6285. ⟨10.1109/TSP.2023.3234460⟩","raw_type":"info:eu-repo/semantics/article"},"sustainable_development_goals":[{"display_name":"Affordable and clean energy","score":0.8999999761581421,"id":"https://metadata.un.org/sdg/7"}],"awards":[{"id":"https://openalex.org/G4493179999","display_name":null,"funder_award_id":"62271354","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7830843176","display_name":null,"funder_award_id":"61871297","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":47,"referenced_works":["https://openalex.org/W66442755","https://openalex.org/W1530114827","https://openalex.org/W1580389772","https://openalex.org/W1599105596","https://openalex.org/W1943431218","https://openalex.org/W1967983190","https://openalex.org/W1985940938","https://openalex.org/W1993565090","https://openalex.org/W2005520864","https://openalex.org/W2005918037","https://openalex.org/W2028781966","https://openalex.org/W2032944446","https://openalex.org/W2050745689","https://openalex.org/W2063761188","https://openalex.org/W2065125569","https://openalex.org/W2074577749","https://openalex.org/W2078204800","https://openalex.org/W2100543212","https://openalex.org/W2100556411","https://openalex.org/W2103215959","https://openalex.org/W2107306109","https://openalex.org/W2107861471","https://openalex.org/W2112246162","https://openalex.org/W2112796928","https://openalex.org/W2115706991","https://openalex.org/W2119883478","https://openalex.org/W2123921160","https://openalex.org/W2129812935","https://openalex.org/W2130459697","https://openalex.org/W2133128597","https://openalex.org/W2135046866","https://openalex.org/W2138913040","https://openalex.org/W2157239334","https://openalex.org/W2159951683","https://openalex.org/W2749476078","https://openalex.org/W2752388197","https://openalex.org/W2783525259","https://openalex.org/W2960052088","https://openalex.org/W2966081953","https://openalex.org/W2990793844","https://openalex.org/W3139657805","https://openalex.org/W4206310440","https://openalex.org/W4231081240","https://openalex.org/W4300263211","https://openalex.org/W4300971709","https://openalex.org/W6738434776","https://openalex.org/W6757715485"],"related_works":["https://openalex.org/W2186864281","https://openalex.org/W4255427455","https://openalex.org/W1966025497","https://openalex.org/W68941528","https://openalex.org/W4206451355","https://openalex.org/W1553604823","https://openalex.org/W8322802","https://openalex.org/W2195994862","https://openalex.org/W314331466","https://openalex.org/W3153752017"],"abstract_inverted_index":{"Sparse":[0],"recovery":[1,23,94],"(SR)":[2],"based":[3],"on":[4,133],"spiking":[5],"neural":[6],"networks":[7],"has":[8],"been":[9],"shown":[10,86],"to":[11,50],"be":[12],"computationally":[13],"efficient":[14],"with":[15,71],"ultra-low":[16],"power":[17,146],"consumption.":[18],"However,":[19],"existing":[20],"spiking-based":[21],"sparse":[22],"(SSR)":[24],"algorithms":[25],"are":[26],"designed":[27],"for":[28],"the":[29,38,88,93,119,122,134,145,148],"convex$\\ell":[30],"_{1}$-norm":[31],"regularized":[32,56],"SR":[33,57],"problem,":[34],"which":[35],"often":[36],"underestimates":[37],"true":[39],"solution.":[40],"This":[41],"paper":[42],"proposes":[43],"an":[44],"adaptive":[45],"version":[46],"of":[47,54,67,144,147],"SSR,i.e.,":[48],"A-SSR,":[49],"optimize":[51],"a":[52],"class":[53],"non-convex":[55],"problems":[58],"and":[59,74,80,100,111],"analyze":[60],"its":[61],"global":[62],"asymptotic":[63],"convergence.":[64],"The":[65],"superiority":[66],"A-SSR":[68,90,124],"is":[69,85],"validated":[70],"synthetic":[72],"simulations":[73],"real":[75],"applications,":[76],"including":[77],"image":[78,108],"reconstruction":[79,109],"face":[81],"recognition.":[82],"Furthermore,":[83],"it":[84],"that":[87],"proposed":[89,123],"essentially":[91],"improves":[92],"accuracy":[95],"by":[96],"avoiding":[97],"systematic":[98],"underestimation":[99],"obtains":[101],"over":[102],"4":[103],"dB":[104],"PSNR":[105],"improvement":[106,114],"in":[107,115,128],"quality":[110],"around":[112],"5%":[113],"recognition":[116],"confidence.":[117],"At":[118],"same":[120],"time,":[121],"maintains":[125],"energy":[126],"efficiency":[127],"hardware":[129],"implementation.":[130],"When":[131],"implemented":[132],"neuromorphic":[135],"Loihi":[136],"chip,":[137],"our":[138],"method":[139],"consumes":[140],"only":[141],"about":[142],"1%":[143],"iterative":[149],"solver":[150],"FISTA,":[151],"enabling":[152],"applications":[153],"under":[154],"energy-constrained":[155],"scenarios.":[156]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1}],"updated_date":"2026-07-29T09:40:50.615796","created_date":"2025-10-10T00:00:00"}