{"id":"https://openalex.org/W4401752585","doi":"https://doi.org/10.1109/spcom60851.2024.10631641","title":"Convex Combination of Compressed Sensing Algorithms for Multiple Measurement Vectors","display_name":"Convex Combination of Compressed Sensing Algorithms for Multiple Measurement Vectors","publication_year":2024,"publication_date":"2024-07-01","ids":{"openalex":"https://openalex.org/W4401752585","doi":"https://doi.org/10.1109/spcom60851.2024.10631641"},"language":"en","primary_location":{"id":"doi:10.1109/spcom60851.2024.10631641","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/spcom60851.2024.10631641","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 International Conference on Signal Processing and Communications (SPCOM)","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 Kharagpur,Department of Electronics and Electrical Communication Engineering,India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Indian Institute of Technology Kharagpur,Department of Electronics and Electrical Communication Engineering,India","institution_ids":["https://openalex.org/I145894827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110837132","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 Kharagpur,Department of Electronics and Electrical Communication Engineering,India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Indian Institute of Technology Kharagpur,Department of Electronics and Electrical Communication Engineering,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 Kharagpur,Department of Electronics and Electrical Communication Engineering,India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Indian Institute of Technology Kharagpur,Department of Electronics and Electrical Communication Engineering,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":0.13482976,"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/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9998999834060669,"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":0.9998999834060669,"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/T11778","display_name":"Electrical and Bioimpedance Tomography","score":0.9983999729156494,"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/T12879","display_name":"Distributed Sensor Networks and Detection Algorithms","score":0.9966999888420105,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/compressed-sensing","display_name":"Compressed sensing","score":0.7631981372833252},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.554556667804718},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5312934517860413},{"id":"https://openalex.org/keywords/regular-polygon","display_name":"Regular polygon","score":0.4773067235946655},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2641901969909668}],"concepts":[{"id":"https://openalex.org/C124851039","wikidata":"https://www.wikidata.org/wiki/Q2665459","display_name":"Compressed sensing","level":2,"score":0.7631981372833252},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.554556667804718},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5312934517860413},{"id":"https://openalex.org/C112680207","wikidata":"https://www.wikidata.org/wiki/Q714886","display_name":"Regular polygon","level":2,"score":0.4773067235946655},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2641901969909668},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/spcom60851.2024.10631641","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/spcom60851.2024.10631641","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 International Conference on Signal Processing and Communications (SPCOM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7","score":0.4399999976158142}],"awards":[],"funders":[{"id":"https://openalex.org/F4320334771","display_name":"Science and Engineering Research Board","ror":"https://ror.org/03ffdsr55"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W2049808850","https://openalex.org/W2065919982","https://openalex.org/W2103519107","https://openalex.org/W2114129195","https://openalex.org/W2122315118","https://openalex.org/W2123629701","https://openalex.org/W2162409952","https://openalex.org/W2402125442","https://openalex.org/W2962731902","https://openalex.org/W4289829975","https://openalex.org/W4388118100"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2158224665","https://openalex.org/W2051487156","https://openalex.org/W2379589510","https://openalex.org/W2810730439","https://openalex.org/W4300044672","https://openalex.org/W1881631164","https://openalex.org/W2073681303","https://openalex.org/W2358292267"],"abstract_inverted_index":{"We":[0,151],"present":[1],"a":[2,23,30,39,61,78],"novel":[3],"data":[4,202],"fusion":[5,203],"scheme":[6,198],"for":[7,127],"the":[8,19,27,51,57,66,82,87,106,110,118,125,128,135,142,148,159,162,165,169,175,178,196,200,206],"multiple":[9],"measurement":[10],"vector":[11],"(MMV)":[12],"problem":[13],"arising":[14],"in":[15,46,205],"compressed":[16],"sensing.":[17],"In":[18,65,81],"proposed":[20,136,197],"MMV-CCCSA":[21,137],"framework,":[22],"convex":[24],"combination":[25],"of":[26,29,41,71,86,134,147,161,168],"estimates":[28,176],"<tex":[31],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[32],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">$K$</tex>":[33],"row-sparse":[34,180],"matrix":[35,181],"X,":[36],"produced":[37],"by":[38,77,94],"set":[40],"different":[42],"MMV":[43],"algorithms":[44],"running":[45],"parallel":[47],"is":[48,74,90,102,114,138],"taken,":[49],"where":[50],"combining":[52,163],"coefficients":[53],"are":[54,189],"random":[55],"and":[56,97,177],"resulting":[58,107],"estimate":[59,108,113,126],"undergoes":[60],"two":[62],"step":[63,89,101],"process.":[64,111],"first":[67],"stage,":[68,84],"hard":[69,92],"thresholding":[70],"level":[72,95],"2K":[73],"applied":[75],"followed":[76],"pursuit":[79,88,100],"step.":[80],"second":[83],"result":[85],"then":[91,115],"thresholded":[93],"K,":[96],"an":[98],"another":[99],"carried":[103,139,191],"out":[104,140,192],"on":[105,158],"completing":[109],"This":[112],"shared":[116],"with":[117],"participating":[119],"algorithms,":[120],"so":[121],"as":[122],"to":[123,184],"generate":[124],"next":[129],"iteration.":[130],"A":[131],"rigorous":[132],"analysis":[133],"using":[141],"restricted":[143],"isometry":[144],"property":[145],"(RIP)":[146],"sensing":[149],"matrix.":[150],"show":[152],"that":[153,195],"under":[154],"certain":[155],"mild":[156],"conditions":[157],"nature":[160],"coefficients,":[164],"expected":[166],"value":[167],"distance":[170],"(in":[171],"Frobenius":[172],"sense)":[173],"between":[174],"true":[179],"X":[182],"goes":[183],"zero.":[185],"Extensive":[186],"simulation":[187],"studies":[188],"also":[190],"which":[193],"suggests":[194],"outperforms":[199],"existing":[201],"models":[204],"literature.":[207]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
