{"id":"https://openalex.org/W4409194461","doi":"https://doi.org/10.1142/s0219691325500122","title":"Descending iterative hard thresholding: A robust approach to sparse recovery under heavy-tailed noise","display_name":"Descending iterative hard thresholding: A robust approach to sparse recovery under heavy-tailed noise","publication_year":2025,"publication_date":"2025-04-05","ids":{"openalex":"https://openalex.org/W4409194461","doi":"https://doi.org/10.1142/s0219691325500122"},"language":"en","primary_location":{"id":"doi:10.1142/s0219691325500122","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0219691325500122","pdf_url":null,"source":{"id":"https://openalex.org/S56986848","display_name":"International Journal of Wavelets Multiresolution and Information Processing","issn_l":"0219-6913","issn":["0219-6913","1793-690X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Wavelets, Multiresolution and Information Processing","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":null,"display_name":"Guowei Yang","orcid":"https://orcid.org/0009-0000-4375-9218"},"institutions":[{"id":"https://openalex.org/I1328775524","display_name":"Zhejiang Sci-Tech University","ror":"https://ror.org/03893we55","country_code":"CN","type":"education","lineage":["https://openalex.org/I1328775524"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guowei Yang","raw_affiliation_strings":["School of Computer Science and Technology, (School of Artificial Intelligence), Zhejiang Sci-Tech University, Hangzhou 310018, P. R. China"],"raw_orcid":"https://orcid.org/0009-0000-4375-9218","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, (School of Artificial Intelligence), Zhejiang Sci-Tech University, Hangzhou 310018, P. R. China","institution_ids":["https://openalex.org/I1328775524"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100895819","display_name":"Lanfang Xu","orcid":null},"institutions":[{"id":"https://openalex.org/I1328775524","display_name":"Zhejiang Sci-Tech University","ror":"https://ror.org/03893we55","country_code":"CN","type":"education","lineage":["https://openalex.org/I1328775524"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lanfang Xu","raw_affiliation_strings":["Department of Mathematics, Zhejiang Sci-Tech University, Hangzhou 310018, P. R. China"],"raw_orcid":"https://orcid.org/0009-0000-1433-7550","affiliations":[{"raw_affiliation_string":"Department of Mathematics, Zhejiang Sci-Tech University, Hangzhou 310018, P. R. China","institution_ids":["https://openalex.org/I1328775524"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5089903944","display_name":"Yi Shen","orcid":"https://orcid.org/0000-0002-2554-9812"},"institutions":[{"id":"https://openalex.org/I1328775524","display_name":"Zhejiang Sci-Tech University","ror":"https://ror.org/03893we55","country_code":"CN","type":"education","lineage":["https://openalex.org/I1328775524"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yi Shen","raw_affiliation_strings":["Department of Mathematics, Zhejiang Sci-Tech University, Hangzhou 310018, P. R. China"],"raw_orcid":"https://orcid.org/0000-0002-2554-9812","affiliations":[{"raw_affiliation_string":"Department of Mathematics, Zhejiang Sci-Tech University, Hangzhou 310018, P. R. China","institution_ids":["https://openalex.org/I1328775524"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I1328775524"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.07968241,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"23","issue":"04","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11609","display_name":"Geophysical Methods and Applications","score":0.9071000218391418,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean 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/T11609","display_name":"Geophysical Methods and Applications","score":0.9071000218391418,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean 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/thresholding","display_name":"Thresholding","score":0.6633727550506592},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5814560651779175},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.5042816400527954},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.396999716758728},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.3762931823730469},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3652105927467346},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3262290954589844}],"concepts":[{"id":"https://openalex.org/C191178318","wikidata":"https://www.wikidata.org/wiki/Q2256906","display_name":"Thresholding","level":3,"score":0.6633727550506592},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5814560651779175},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5042816400527954},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.396999716758728},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3762931823730469},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3652105927467346},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3262290954589844},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1142/s0219691325500122","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0219691325500122","pdf_url":null,"source":{"id":"https://openalex.org/S56986848","display_name":"International Journal of Wavelets Multiresolution and Information Processing","issn_l":"0219-6913","issn":["0219-6913","1793-690X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Wavelets, Multiresolution and Information Processing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7799999713897705,"display_name":"Climate action","id":"https://metadata.un.org/sdg/13"}],"awards":[{"id":"https://openalex.org/G3378260778","display_name":null,"funder_award_id":"12371101","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":23,"referenced_works":["https://openalex.org/W1977601760","https://openalex.org/W1978901787","https://openalex.org/W2021302824","https://openalex.org/W2029280580","https://openalex.org/W2034268645","https://openalex.org/W2059398303","https://openalex.org/W2083346837","https://openalex.org/W2106967375","https://openalex.org/W2123023890","https://openalex.org/W2129553449","https://openalex.org/W2145096794","https://openalex.org/W2147534083","https://openalex.org/W2151693816","https://openalex.org/W2289917018","https://openalex.org/W2728350836","https://openalex.org/W2736618363","https://openalex.org/W2787898208","https://openalex.org/W2949981685","https://openalex.org/W2963116674","https://openalex.org/W2963322354","https://openalex.org/W4250955649","https://openalex.org/W4311445368","https://openalex.org/W4361284250"],"related_works":["https://openalex.org/W1542224353","https://openalex.org/W1661087619","https://openalex.org/W2116854923","https://openalex.org/W2750730210","https://openalex.org/W2236974868","https://openalex.org/W4312766348","https://openalex.org/W4233939244","https://openalex.org/W2106145857","https://openalex.org/W2033914206","https://openalex.org/W2042327336"],"abstract_inverted_index":{"Compressed":[0],"sensing":[1],"has":[2,38],"emerged":[3],"as":[4],"a":[5,63,78,105],"powerful":[6],"technique":[7],"for":[8,26,41],"signal":[9],"recovery":[10],"in":[11,129],"various":[12],"fields,":[13],"from":[14],"medical":[15],"imaging":[16],"to":[17,55,116,142],"communication":[18],"systems.":[19],"Among":[20],"the":[21,29,82,92,95,102,118,122,130,144],"plethora":[22],"of":[23,67,94,104,125,132,146],"algorithms":[24],"devised":[25],"this":[27,70,74,113],"purpose,":[28],"Adaptive":[30],"Iterative":[31,84],"Hard":[32,85],"Thresholding":[33,86],"([Formula:":[34],"see":[35,97],"text])":[36],"algorithm":[37,99],"garnered":[39],"attention":[40],"its":[42],"simplicity":[43],"and":[44,62,100,120,139],"efficiency.":[45],"However,":[46],"it":[47],"is":[48,115],"not":[49],"without":[50],"limitations,":[51],"especially":[52],"when":[53],"applied":[54],"real-world":[56],"scenarios":[57],"characterized":[58],"by":[59,76],"heavy-tailed":[60,133],"noise":[61],"relatively":[64],"small":[65],"number":[66],"observations.":[68],"In":[69],"paper,":[71],"we":[72],"address":[73],"challenge":[75],"introducing":[77],"novel":[79],"approach":[80],"called":[81],"Descending":[83],"algorithm.":[87],"Our":[88],"method":[89],"builds":[90],"upon":[91],"foundation":[93],"[Formula:":[96],"text]":[98],"incorporates":[101],"concept":[103],"backtracking":[106],"line":[107],"search":[108],"method.":[109],"The":[110],"motivation":[111],"behind":[112],"development":[114],"enhance":[117],"stability":[119],"accelerate":[121],"convergence":[123],"rate":[124],"compressed":[126],"sensing,":[127],"particularly":[128],"presence":[131],"noise.":[134],"We":[135],"present":[136],"theoretical":[137],"analyses":[138],"experimental":[140],"validations":[141],"support":[143],"results":[145],"our":[147],"approach.":[148]},"counts_by_year":[],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}