{"id":"https://openalex.org/W2270451106","doi":"https://doi.org/10.1109/isit.2016.7541664","title":"Analog coding of a source with erasures","display_name":"Analog coding of a source with erasures","publication_year":2016,"publication_date":"2016-07-01","ids":{"openalex":"https://openalex.org/W2270451106","doi":"https://doi.org/10.1109/isit.2016.7541664","mag":"2270451106"},"language":"en","primary_location":{"id":"doi:10.1109/isit.2016.7541664","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isit.2016.7541664","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Symposium on Information Theory (ISIT)","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/A5072814303","display_name":"Marina Haikin","orcid":null},"institutions":[{"id":"https://openalex.org/I16391192","display_name":"Tel Aviv University","ror":"https://ror.org/04mhzgx49","country_code":"IL","type":"education","lineage":["https://openalex.org/I16391192"]}],"countries":["IL"],"is_corresponding":true,"raw_author_name":"Marina Haikin","raw_affiliation_strings":["EE - Systems Department, Tel Aviv University, Israel","EE - Systems Department, Tel Aviv University, Tel Aviv, Israel"],"affiliations":[{"raw_affiliation_string":"EE - Systems Department, Tel Aviv University, Israel","institution_ids":["https://openalex.org/I16391192"]},{"raw_affiliation_string":"EE - Systems Department, Tel Aviv University, Tel Aviv, Israel","institution_ids":["https://openalex.org/I16391192"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5027550575","display_name":"Ram Zamir","orcid":"https://orcid.org/0000-0003-1800-3886"},"institutions":[{"id":"https://openalex.org/I16391192","display_name":"Tel Aviv University","ror":"https://ror.org/04mhzgx49","country_code":"IL","type":"education","lineage":["https://openalex.org/I16391192"]}],"countries":["IL"],"is_corresponding":false,"raw_author_name":"Ram Zamir","raw_affiliation_strings":["EE - Systems Department, Tel Aviv University, Israel","EE - Systems Department, Tel Aviv University, Tel Aviv, Israel"],"affiliations":[{"raw_affiliation_string":"EE - Systems Department, Tel Aviv University, Israel","institution_ids":["https://openalex.org/I16391192"]},{"raw_affiliation_string":"EE - Systems Department, Tel Aviv University, Tel Aviv, Israel","institution_ids":["https://openalex.org/I16391192"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5072814303"],"corresponding_institution_ids":["https://openalex.org/I16391192"],"apc_list":null,"apc_paid":null,"fwci":5.3707,"has_fulltext":false,"cited_by_count":16,"citation_normalized_percentile":{"value":0.9524996,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"2074","last_page":"2078"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11210","display_name":"Mathematical Analysis and Transform Methods","score":0.9983000159263611,"subfield":{"id":"https://openalex.org/subfields/2604","display_name":"Applied Mathematics"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11210","display_name":"Mathematical Analysis and Transform Methods","score":0.9983000159263611,"subfield":{"id":"https://openalex.org/subfields/2604","display_name":"Applied Mathematics"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11034","display_name":"Digital Filter Design and Implementation","score":0.9958999752998352,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9955999851226807,"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/erasure","display_name":"Erasure","score":0.7987281084060669},{"id":"https://openalex.org/keywords/equiangular-polygon","display_name":"Equiangular polygon","score":0.5945008993148804},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5479124784469604},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.48546984791755676},{"id":"https://openalex.org/keywords/erasure-code","display_name":"Erasure code","score":0.48437270522117615},{"id":"https://openalex.org/keywords/variable-length-code","display_name":"Variable-length code","score":0.4730747640132904},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.4554637372493744},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4386729598045349},{"id":"https://openalex.org/keywords/topology","display_name":"Topology (electrical circuits)","score":0.3327125906944275},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.32481908798217773},{"id":"https://openalex.org/keywords/discrete-mathematics","display_name":"Discrete mathematics","score":0.3206251859664917},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.19708746671676636},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.11683857440948486},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.10963371396064758}],"concepts":[{"id":"https://openalex.org/C2778790127","wikidata":"https://www.wikidata.org/wiki/Q484885","display_name":"Erasure","level":2,"score":0.7987281084060669},{"id":"https://openalex.org/C41779539","wikidata":"https://www.wikidata.org/wiki/Q2543717","display_name":"Equiangular polygon","level":3,"score":0.5945008993148804},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5479124784469604},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.48546984791755676},{"id":"https://openalex.org/C137529215","wikidata":"https://www.wikidata.org/wiki/Q5385031","display_name":"Erasure code","level":3,"score":0.48437270522117615},{"id":"https://openalex.org/C60603091","wikidata":"https://www.wikidata.org/wiki/Q2981616","display_name":"Variable-length code","level":3,"score":0.4730747640132904},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.4554637372493744},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4386729598045349},{"id":"https://openalex.org/C184720557","wikidata":"https://www.wikidata.org/wiki/Q7825049","display_name":"Topology (electrical circuits)","level":2,"score":0.3327125906944275},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.32481908798217773},{"id":"https://openalex.org/C118615104","wikidata":"https://www.wikidata.org/wiki/Q121416","display_name":"Discrete mathematics","level":1,"score":0.3206251859664917},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.19708746671676636},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.11683857440948486},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.10963371396064758},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C2834757","wikidata":"https://www.wikidata.org/wiki/Q4925424","display_name":"Monotone polygon","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isit.2016.7541664","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isit.2016.7541664","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Symposium on Information Theory (ISIT)","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":21,"referenced_works":["https://openalex.org/W1608472120","https://openalex.org/W1974505551","https://openalex.org/W1978920825","https://openalex.org/W1990992471","https://openalex.org/W2015418199","https://openalex.org/W2022267471","https://openalex.org/W2030758503","https://openalex.org/W2059641151","https://openalex.org/W2059825003","https://openalex.org/W2072184935","https://openalex.org/W2072565885","https://openalex.org/W2086869478","https://openalex.org/W2094235750","https://openalex.org/W2113444404","https://openalex.org/W2121743251","https://openalex.org/W2133553014","https://openalex.org/W2140752095","https://openalex.org/W2152611675","https://openalex.org/W2313497592","https://openalex.org/W3099174811","https://openalex.org/W4229746864"],"related_works":["https://openalex.org/W2963597099","https://openalex.org/W1989371164","https://openalex.org/W4301707499","https://openalex.org/W2137028263","https://openalex.org/W2982181605","https://openalex.org/W3102119340","https://openalex.org/W2031335939","https://openalex.org/W1947543223","https://openalex.org/W4287065415","https://openalex.org/W1694938350"],"abstract_inverted_index":{"Analog":[0],"coding":[1,43,64],"decouples":[2],"the":[3,41,46,57,66,73,76,81,129,141,145,148],"tasks":[4],"of":[5,21,49,62,75,78,80,105],"protecting":[6],"against":[7],"erasures":[8],"and":[9,115],"noise.":[10],"For":[11],"erasure":[12,90],"correction,":[13],"it":[14],"creates":[15],"an":[16,32],"\u201canalog":[17],"redundancy\u201d":[18],"by":[19,31],"means":[20],"band-limited":[22],"discrete":[23],"Fourier":[24],"transform":[25],"(DFT)":[26],"interpolation,":[27],"or":[28],"more":[29,116],"generally,":[30],"over-complete":[33],"expansion":[34],"based":[35],"on":[36],"a":[37,50,88,94,103,123],"frame.":[38],"We":[39,92],"examine":[40],"analog":[42,63],"paradigm":[44],"for":[45],"dual":[47],"setup":[48],"source":[51],"with":[52,72,112,122],"\u201cerasure\u201d":[53],"side-information":[54],"(SI)":[55],"at":[56],"encoder.":[58],"The":[59],"excess":[60,130],"rate":[61,131],"above":[65],"rate-distortion":[67],"function":[68],"(RDF)":[69],"is":[70],"associated":[71],"energy":[74],"inverse":[77],"submatrices":[79],"frame,":[82],"where":[83],"each":[84],"submatrix":[85],"corresponds":[86],"to":[87,151],"possible":[89,134],"pattern.":[91],"give":[93],"partial":[95],"theoretical":[96],"as":[97,99,147],"well":[98],"numerical":[100],"evidence":[101],"that":[102],"variety":[104],"structured":[106],"frames,":[107],"in":[108,144],"particular":[109],"DFT":[110],"frames":[111,120],"difference-set":[113],"spectrum":[114],"general":[117],"equiangular":[118],"tight":[119],"(ETFs),":[121],"common":[124],"MANOVA":[125],"limiting":[126],"spectrum,":[127],"minimize":[128],"over":[132],"all":[133],"frames.":[135],"However,":[136],"they":[137],"do":[138],"not":[139],"achieve":[140],"RDF":[142],"even":[143],"limit":[146],"dimension":[149],"goes":[150],"infinity.":[152]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":6},{"year":2017,"cited_by_count":2}],"updated_date":"2026-03-21T06:30:42.041108","created_date":"2025-10-10T00:00:00"}
