{"id":"https://openalex.org/W3045655143","doi":"https://doi.org/10.1109/iwcmc48107.2020.9148513","title":"Noise-Resilient Blind Deconvolution using Error-Correcting Codes","display_name":"Noise-Resilient Blind Deconvolution using Error-Correcting Codes","publication_year":2020,"publication_date":"2020-06-01","ids":{"openalex":"https://openalex.org/W3045655143","doi":"https://doi.org/10.1109/iwcmc48107.2020.9148513","mag":"3045655143"},"language":"en","primary_location":{"id":"doi:10.1109/iwcmc48107.2020.9148513","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iwcmc48107.2020.9148513","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 International Wireless Communications and Mobile Computing (IWCMC)","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/A5069504440","display_name":"Humera Hameed","orcid":"https://orcid.org/0000-0003-3361-5661"},"institutions":[{"id":"https://openalex.org/I1323252656","display_name":"Information Technology University","ror":"https://ror.org/00ngv8j44","country_code":"PK","type":"education","lineage":["https://openalex.org/I1323252656"]}],"countries":["PK"],"is_corresponding":true,"raw_author_name":"Humera Hameed","raw_affiliation_strings":["Department of Electrical Engineering, Information Technology University, Lahore, Pakistan"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Information Technology University, Lahore, Pakistan","institution_ids":["https://openalex.org/I1323252656"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032869520","display_name":"Muhammad Umar Farooq","orcid":"https://orcid.org/0000-0002-6610-0923"},"institutions":[{"id":"https://openalex.org/I142732210","display_name":"University of Engineering and Technology Lahore","ror":"https://ror.org/0051w2v06","country_code":"PK","type":"education","lineage":["https://openalex.org/I142732210"]}],"countries":["PK"],"is_corresponding":false,"raw_author_name":"Muhammad Farooq","raw_affiliation_strings":["Department of Electrical Engineering, University of Engineering and Technology, Lahore, Pakistan"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, University of Engineering and Technology, Lahore, Pakistan","institution_ids":["https://openalex.org/I142732210"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5076154487","display_name":"Ubaid U. Fayyaz","orcid":"https://orcid.org/0000-0001-7833-6127"},"institutions":[{"id":"https://openalex.org/I142732210","display_name":"University of Engineering and Technology Lahore","ror":"https://ror.org/0051w2v06","country_code":"PK","type":"education","lineage":["https://openalex.org/I142732210"]}],"countries":["PK"],"is_corresponding":false,"raw_author_name":"Ubaid Ullah Fayyaz","raw_affiliation_strings":["Department of Electrical Engineering, University of Engineering and Technology, Lahore, Pakistan"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, University of Engineering and Technology, Lahore, Pakistan","institution_ids":["https://openalex.org/I142732210"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5069504440"],"corresponding_institution_ids":["https://openalex.org/I1323252656"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.08057933,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"abs 1703 887","issue":null,"first_page":"629","last_page":"634"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation Techniques","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation Techniques","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9994999766349792,"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/T12879","display_name":"Distributed Sensor Networks and Detection Algorithms","score":0.9970999956130981,"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/computer-science","display_name":"Computer science","score":0.6596381664276123},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5784860849380493},{"id":"https://openalex.org/keywords/deconvolution","display_name":"Deconvolution","score":0.5737539529800415},{"id":"https://openalex.org/keywords/solver","display_name":"Solver","score":0.4353156089782715},{"id":"https://openalex.org/keywords/word-error-rate","display_name":"Word error rate","score":0.4311249852180481},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.4061565399169922},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3332039713859558}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6596381664276123},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5784860849380493},{"id":"https://openalex.org/C174576160","wikidata":"https://www.wikidata.org/wiki/Q1183700","display_name":"Deconvolution","level":2,"score":0.5737539529800415},{"id":"https://openalex.org/C2778770139","wikidata":"https://www.wikidata.org/wiki/Q1966904","display_name":"Solver","level":2,"score":0.4353156089782715},{"id":"https://openalex.org/C40969351","wikidata":"https://www.wikidata.org/wiki/Q3516228","display_name":"Word error rate","level":2,"score":0.4311249852180481},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.4061565399169922},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3332039713859558},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iwcmc48107.2020.9148513","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iwcmc48107.2020.9148513","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 International Wireless Communications and Mobile Computing (IWCMC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W1535816011","https://openalex.org/W1926842446","https://openalex.org/W1953819449","https://openalex.org/W2012163634","https://openalex.org/W2140867429","https://openalex.org/W2248294424","https://openalex.org/W2430435693","https://openalex.org/W2552548612","https://openalex.org/W2584206669","https://openalex.org/W2592651140","https://openalex.org/W2750688027","https://openalex.org/W2963250023","https://openalex.org/W3103287012","https://openalex.org/W6640383432","https://openalex.org/W6717522514","https://openalex.org/W6747401331"],"related_works":["https://openalex.org/W2309273277","https://openalex.org/W1769849273","https://openalex.org/W2061937230","https://openalex.org/W1574295218","https://openalex.org/W2547793174","https://openalex.org/W2070212102","https://openalex.org/W2132658536","https://openalex.org/W2544241817","https://openalex.org/W2158882055","https://openalex.org/W2914603036"],"abstract_inverted_index":{"Future":[0],"communication":[1,7],"systems":[2],"pose":[3],"stringent":[4],"requirements":[5],"on":[6],"latency":[8,17],"between":[9],"two":[10],"nodes.":[11],"One":[12],"way":[13],"to":[14,80,163,177],"reduce":[15],"the":[16,26,36,77,82,89,96,100,104,132,145,149,154,186],"is":[18,40,49],"by":[19,24],"reducing":[20],"control":[21],"plane":[22],"overhead":[23],"estimating":[25,35],"channel":[27,37],"without":[28],"training":[29],"symbols.":[30],"The":[31],"combined":[32],"process":[33],"of":[34,103,107,129,148,161,195],"and":[38,140,153],"equalizing":[39],"called":[41],"blind":[42,90],"deconvolution.":[43],"In":[44],"this":[45],"paper,":[46],"our":[47],"contribution":[48],"two-fold.":[50],"First,":[51],"we":[52,68],"concatenate":[53],"random":[54,83,136,150,187],"coding":[55,84,137,151,188],"(blind":[56],"deconvolution":[57,91],"using":[58],"convex":[59],"programming)":[60],"solver":[61,85,138,152,189],"with":[62],"error-correcting":[63],"code":[64],"(ECC)":[65],"decoder.":[66],"Second,":[67],"propose":[69],"an":[70],"intelligent":[71],"perturbation":[72],"algorithm":[73],"(IPA)":[74],"that":[75,134],"uses":[76,135],"ECC":[78,155],"decoder":[79],"assist":[81],"iteratively":[86],"in":[87,127],"solving":[88],"problem.":[92],"We":[93,109],"also":[94,172],"define":[95],"theoretical":[97],"bounds":[98],"for":[99,114,157,191],"optimal":[101],"rate":[102,184],"generator":[105],"matrix":[106],"ECC.":[108],"have":[110],"performed":[111],"error-rate":[112],"simulations":[113],"both":[115],"Gaussian":[116],"as":[117,119],"well":[118],"Rayleigh":[120],"channels.":[121],"IPA":[122,171],"provides":[123,173],"5":[124],"dB":[125,142,175],"gain":[126,143,176],"terms":[128],"Eb/N0":[130],"over":[131,144,185],"system":[133],"alone":[139],"1":[141],"serial":[146],"concatenation":[147],"decoder,":[156],"a":[158,192],"message":[159,193],"length":[160,194],"30":[162],"achieve":[164,178],"10":[165,179],"<sup":[166,180],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[167,181],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">-3</sup>":[168,182],"frame-error":[169,183],"rate.":[170],"4":[174],"alone,":[190],"128.":[196]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
