{"id":"https://openalex.org/W4400230084","doi":"https://doi.org/10.1109/iscas58744.2024.10558567","title":"Hard Thresholding based Stochastic Robust Algorithm for Multiple Measurement Vectors","display_name":"Hard Thresholding based Stochastic Robust Algorithm for Multiple Measurement Vectors","publication_year":2024,"publication_date":"2024-05-19","ids":{"openalex":"https://openalex.org/W4400230084","doi":"https://doi.org/10.1109/iscas58744.2024.10558567"},"language":"en","primary_location":{"id":"doi:10.1109/iscas58744.2024.10558567","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/iscas58744.2024.10558567","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Symposium on Circuits and Systems (ISCAS)","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/A5041089897","display_name":"Ketan Atul Bapat","orcid":null},"institutions":[{"id":"https://openalex.org/I145894827","display_name":"Indian Institute of Technology Kharagpur","ror":"https://ror.org/03w5sq511","country_code":"IN","type":"education","lineage":["https://openalex.org/I145894827"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Ketan Atul Bapat","raw_affiliation_strings":["Indian Institute of Technology,Department of Electronics and Electrical Communication Engineering,Kharagpur,India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Indian Institute of Technology,Department of Electronics and Electrical Communication Engineering,Kharagpur,India","institution_ids":["https://openalex.org/I145894827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5099841493","display_name":"S Shashank","orcid":null},"institutions":[{"id":"https://openalex.org/I145894827","display_name":"Indian Institute of Technology Kharagpur","ror":"https://ror.org/03w5sq511","country_code":"IN","type":"education","lineage":["https://openalex.org/I145894827"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Shashank S","raw_affiliation_strings":["Indian Institute of Technology,Department of Electronics and Electrical Communication Engineering,Kharagpur,India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Indian Institute of Technology,Department of Electronics and Electrical Communication Engineering,Kharagpur,India","institution_ids":["https://openalex.org/I145894827"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5072872028","display_name":"Mrityunjoy Chakraborty","orcid":"https://orcid.org/0000-0003-4009-9554"},"institutions":[{"id":"https://openalex.org/I145894827","display_name":"Indian Institute of Technology Kharagpur","ror":"https://ror.org/03w5sq511","country_code":"IN","type":"education","lineage":["https://openalex.org/I145894827"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Mrityunjoy Chakraborty","raw_affiliation_strings":["Indian Institute of Technology,Department of Electronics and Electrical Communication Engineering,Kharagpur,India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Indian Institute of Technology,Department of Electronics and Electrical Communication Engineering,Kharagpur,India","institution_ids":["https://openalex.org/I145894827"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.08711995,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10876","display_name":"Fault Detection and Control Systems","score":0.6837000250816345,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/T10876","display_name":"Fault Detection and Control Systems","score":0.6837000250816345,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/T10320","display_name":"Neural Networks and Applications","score":0.646399974822998,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.6323999762535095,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/computer-science","display_name":"Computer science","score":0.6658768653869629},{"id":"https://openalex.org/keywords/thresholding","display_name":"Thresholding","score":0.6544480323791504},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4959345757961273},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3946002721786499},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.05869126319885254}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6658768653869629},{"id":"https://openalex.org/C191178318","wikidata":"https://www.wikidata.org/wiki/Q2256906","display_name":"Thresholding","level":3,"score":0.6544480323791504},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4959345757961273},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3946002721786499},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.05869126319885254}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iscas58744.2024.10558567","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/iscas58744.2024.10558567","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Symposium on Circuits and Systems (ISCAS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W1770500012","https://openalex.org/W2013625218","https://openalex.org/W2016459643","https://openalex.org/W2044579524","https://openalex.org/W2049808850","https://openalex.org/W2107707537","https://openalex.org/W2108924122","https://openalex.org/W2115522319","https://openalex.org/W2129638195","https://openalex.org/W2139139435","https://openalex.org/W2143249699","https://openalex.org/W2145096794","https://openalex.org/W2162409952","https://openalex.org/W2171787095","https://openalex.org/W2963906379","https://openalex.org/W3086242280","https://openalex.org/W3097842022","https://openalex.org/W3171844353","https://openalex.org/W4250955649","https://openalex.org/W4251502187","https://openalex.org/W4289829975","https://openalex.org/W4384947559","https://openalex.org/W4385694568"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","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/W2106145857","https://openalex.org/W4377294438"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3],"propose":[4],"a":[5,69],"Hard":[6],"Thresholding":[7],"(HT)":[8],"based":[9,28,100],"robust":[10],"algorithm":[11,26,60,173],"for":[12,79,178],"large":[13],"scale":[14],"Multiple":[15],"Measurement":[16],"Vectors":[17],"(MMV)":[18],"problem":[19,181],"in":[20,52,122,141,151,182],"Compressed":[21],"Sensing.":[22],"The":[23],"proposed":[24],"MStoLIHT":[25,59,172],"is":[27,77,116,158,167],"upon":[29],"Stochastic":[30],"Gradient":[31],"Descent":[32],"(SGD)":[33],"and":[34,84,104],"employs":[35],"the":[36,42,53,58,74,82,91,94,102,105,109,119,123,138,149,171,179],"Lorentzian":[37],"norm":[38],"of":[39,57,62,71,73,90,93,111,143,153,155],"residual":[40],"as":[41],"underlying":[43],"cost":[44],"function":[45],"which":[46,133],"provides":[47],"robustness":[48],"against":[49],"impulsive":[50],"errors":[51],"measurements.":[54],"Each":[55],"iteration":[56],"consists":[61],"multiple":[63],"subiterations.":[64],"At":[65,108],"each":[66,86],"iteration,":[67],"only":[68,88],"block":[70],"rows":[72],"sensing":[75],"matrix":[76,97,140],"used":[78],"carrying":[80],"out":[81],"update,":[83],"at":[85],"subiteration,":[87],"few":[89],"columns":[92,144],"estimated":[95,124],"data":[96,125,139],"are":[98,130],"updated":[99],"on":[101],"SGD":[103],"HT":[106,114,147],"strategies.":[107],"end":[110],"subiterations,":[112],"another":[113],"operation":[115],"performed":[117],"ensuring":[118],"row":[120],"sparsity":[121],"matrix.":[126],"Extensive":[127],"numerical":[128],"simulations":[129],"carried":[131],"out,":[132],"indicate":[134],"that":[135,170],"by":[136,146],"updating":[137],"blocks":[142],"followed":[145],"operation,":[148],"performance":[150],"terms":[152],"probability":[154],"support":[156],"recovery":[157],"improved":[159],"when":[160],"compared":[161],"to":[162],"its":[163],"deterministic":[164],"counterpart.":[165],"It":[166],"further":[168],"observed":[169],"outperforms":[174],"other":[175],"existing":[176],"algorithms":[177],"MMV":[180],"literature.":[183]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}