{"id":"https://openalex.org/W3212345003","doi":"https://doi.org/10.4233/uuid:18ab40eb-5336-4498-a20b-b5d9a1663003","title":"Coding Techniques for Noisy Channels with Gain and/or Offset Mismatch","display_name":"Coding Techniques for Noisy Channels with Gain and/or Offset Mismatch","publication_year":2021,"publication_date":"2021-11-15","ids":{"openalex":"https://openalex.org/W3212345003","doi":"https://doi.org/10.4233/uuid:18ab40eb-5336-4498-a20b-b5d9a1663003","mag":"3212345003"},"language":"en","primary_location":{"id":"pmh:oai:tudelft.nl:uuid:18ab40eb-5336-4498-a20b-b5d9a1663003","is_oa":false,"landing_page_url":"http://resolver.tudelft.nl/uuid:18ab40eb-5336-4498-a20b-b5d9a1663003","pdf_url":null,"source":{"id":"https://openalex.org/S4306400906","display_name":"Research Repository (Delft University of Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I98358874","host_organization_name":"Delft University of Technology","host_organization_lineage":["https://openalex.org/I98358874"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"doctoral thesis"},"type":"article","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.4233/uuid:18ab40eb-5336-4498-a20b-b5d9a1663003","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5055738508","display_name":"Renfei Bu","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Bu, R.","raw_affiliation_strings":["Optimization"],"affiliations":[{"raw_affiliation_string":"Optimization","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5055738508"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12162","display_name":"Cellular Automata and Applications","score":0.9886000156402588,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/T12162","display_name":"Cellular Automata and Applications","score":0.9886000156402588,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/T11321","display_name":"Error Correcting Code Techniques","score":0.9197999835014343,"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"}},{"id":"https://openalex.org/T10125","display_name":"Advanced Wireless Communication Techniques","score":0.9150000214576721,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5341452956199646},{"id":"https://openalex.org/keywords/offset","display_name":"Offset (computer science)","score":0.5047591924667358},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.44295039772987366},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2357756495475769},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.11541581153869629}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5341452956199646},{"id":"https://openalex.org/C175291020","wikidata":"https://www.wikidata.org/wiki/Q1156822","display_name":"Offset (computer science)","level":2,"score":0.5047591924667358},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.44295039772987366},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2357756495475769},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.11541581153869629},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"pmh:oai:tudelft.nl:uuid:18ab40eb-5336-4498-a20b-b5d9a1663003","is_oa":false,"landing_page_url":"http://resolver.tudelft.nl/uuid:18ab40eb-5336-4498-a20b-b5d9a1663003","pdf_url":null,"source":{"id":"https://openalex.org/S4306400906","display_name":"Research Repository (Delft University of Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I98358874","host_organization_name":"Delft University of Technology","host_organization_lineage":["https://openalex.org/I98358874"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"doctoral thesis"},{"id":"doi:10.4233/uuid:18ab40eb-5336-4498-a20b-b5d9a1663003","is_oa":true,"landing_page_url":"https://doi.org/10.4233/uuid:18ab40eb-5336-4498-a20b-b5d9a1663003","pdf_url":null,"source":{"id":"https://openalex.org/S4306400906","display_name":"Research Repository (Delft University of Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I98358874","host_organization_name":"Delft University of Technology","host_organization_lineage":["https://openalex.org/I98358874"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"thesis"},{"id":"mag:3212345003","is_oa":false,"landing_page_url":"https://research.tudelft.nl/en/publications/coding-techniques-for-noisy-channels-with-gain-andor-offset-misma","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":null}],"best_oa_location":{"id":"doi:10.4233/uuid:18ab40eb-5336-4498-a20b-b5d9a1663003","is_oa":true,"landing_page_url":"https://doi.org/10.4233/uuid:18ab40eb-5336-4498-a20b-b5d9a1663003","pdf_url":null,"source":{"id":"https://openalex.org/S4306400906","display_name":"Research Repository (Delft University of Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I98358874","host_organization_name":"Delft University of Technology","host_organization_lineage":["https://openalex.org/I98358874"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"thesis"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2998750161","https://openalex.org/W1936556678","https://openalex.org/W1991887958","https://openalex.org/W2544481735","https://openalex.org/W1948798722","https://openalex.org/W1967667284","https://openalex.org/W2095030629","https://openalex.org/W2097560180","https://openalex.org/W2132780006","https://openalex.org/W2099716601","https://openalex.org/W2099778017","https://openalex.org/W2143524477","https://openalex.org/W1941423165","https://openalex.org/W2130672729","https://openalex.org/W2096680704","https://openalex.org/W2042364737","https://openalex.org/W2132705049","https://openalex.org/W2028677762","https://openalex.org/W2112231543","https://openalex.org/W2418033101"],"abstract_inverted_index":{"Data":[0],"transmission":[1],"is":[2,48,119,130,133],"ubiquitous":[3],"in":[4,152,169],"all":[5],"walks":[6],"of":[7,67],"life,":[8],"ranging":[9],"from":[10,88],"basic":[11],"home":[12],"and":[13,20,34,39,57],"office":[14],"appliances":[15],"like":[16],"compact":[17],"disc":[18],"players":[19],"hard":[21],"disk":[22],"drives":[23],"to":[24,91,121,136,148],"deep":[25],"space":[26],"communication.":[27],"More":[28],"often":[29],"than":[30],"not,":[31],"the":[32,50,54,65,83,89,93,97,105,128,140,158,161,170,182],"communication":[33],"storage":[35],"channels":[36],"are":[37,172],"noisy,":[38],"data":[40,55],"might":[41],"be":[42,61],"distorted":[43,63],"during":[44,53],"transmission.":[45],"However,":[46],"noise":[47],"not":[49],"only":[51],"disturbance":[52],"transmission,":[56],"information":[58],"can":[59],"sometimes":[60],"seriously":[62],"by":[64,139],"phenomena":[66],"unknown":[68,122],"channel":[69,154],"gain":[70,106,125,162,183],"or":[71],"offset":[72,108,123,164,185],"(drift)":[73],"mismatch.":[74,109,165,186],"The":[75,166],"conventional":[76],"minimum":[77],"Euclidean":[78,94],"distance":[79,95,113],"based":[80,114,177],"detection,":[81],"where":[82],"receiver":[84],"picks":[85],"a":[86,101,111],"codeword":[87],"codebook":[90],"minimize":[92],"with":[96],"received":[98],"word,":[99],"has":[100],"poor":[102],"performance":[103,151],"under":[104],"and/or":[107,124,163,184],"Recently,":[110],"Pearson":[112],"detection":[115],"was":[116],"introduced,":[117],"which":[118],"immune":[120],"mismatch,":[126],"but":[127],"drawback":[129],"that":[131],"it":[132],"pretty":[134],"sensitive":[135],"errors":[137],"caused":[138],"noise.":[141],"This":[142],"thesis":[143,171],"investigates":[144],"possible":[145],"coding":[146],"techniques":[147],"improve":[149],"decoders\u2019":[150],"noisy":[153],"conditions":[155],"while":[156],"maintaining":[157],"resistance":[159],"against":[160],"results":[167],"discussed":[168],"divided":[173],"into":[174],"four":[175],"parts,":[176],"on":[178,181],"different":[179],"assumptions":[180]},"counts_by_year":[{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T06:51:31.235846","created_date":"2025-10-10T00:00:00"}
