{"id":"https://openalex.org/W2105237352","doi":"https://doi.org/10.1109/isit.2004.1365600","title":"Filter bank frame-expansion with erasures-a para-pseudo inverse based reconstruction","display_name":"Filter bank frame-expansion with erasures-a para-pseudo inverse based reconstruction","publication_year":2004,"publication_date":"2004-12-23","ids":{"openalex":"https://openalex.org/W2105237352","doi":"https://doi.org/10.1109/isit.2004.1365600","mag":"2105237352"},"language":"en","primary_location":{"id":"doi:10.1109/isit.2004.1365600","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isit.2004.1365600","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Symposium onInformation Theory, 2004. ISIT 2004. Proceedings.","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/A5110227634","display_name":"R. Motwani","orcid":null},"institutions":[{"id":"https://openalex.org/I144291393","display_name":"Data Storage Institute","ror":"https://ror.org/03k5xes38","country_code":"SG","type":"facility","lineage":["https://openalex.org/I115228651","https://openalex.org/I144291393"]}],"countries":["SG"],"is_corresponding":true,"raw_author_name":"R.H. Motwani","raw_affiliation_strings":["Data Storage Institute, Singapore"],"affiliations":[{"raw_affiliation_string":"Data Storage Institute, Singapore","institution_ids":["https://openalex.org/I144291393"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5010468033","display_name":"Christine Guillemot","orcid":"https://orcid.org/0000-0003-1604-967X"},"institutions":[{"id":"https://openalex.org/I1326498283","display_name":"Institut national de recherche en sciences et technologies du num\u00e9rique","ror":"https://ror.org/02kvxyf05","country_code":"FR","type":"government","lineage":["https://openalex.org/I1326498283"]},{"id":"https://openalex.org/I2802519937","display_name":"Institut de Recherche en Informatique et Syst\u00e8mes Al\u00e9atoires","ror":"https://ror.org/00myn0z94","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I1326498283","https://openalex.org/I205703379","https://openalex.org/I2802204017","https://openalex.org/I2802519937","https://openalex.org/I28221208","https://openalex.org/I4210127572","https://openalex.org/I4210159245","https://openalex.org/I56067802"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"C. Guillemot","raw_affiliation_strings":["IRISA/INRIA, Rennes, France"],"affiliations":[{"raw_affiliation_string":"IRISA/INRIA, Rennes, France","institution_ids":["https://openalex.org/I2802519937","https://openalex.org/I1326498283"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5110227634"],"corresponding_institution_ids":["https://openalex.org/I144291393"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.15614049,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"50","issue":null,"first_page":"563","last_page":"563"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9998999834060669,"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"}},{"id":"https://openalex.org/T10901","display_name":"Advanced Data Compression Techniques","score":0.9983000159263611,"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"}},{"id":"https://openalex.org/T11210","display_name":"Mathematical Analysis and Transform Methods","score":0.9980000257492065,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/filter-bank","display_name":"Filter bank","score":0.7432388067245483},{"id":"https://openalex.org/keywords/erasure","display_name":"Erasure","score":0.7260611653327942},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.6869250535964966},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6521656513214111},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.5952687859535217},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.5778050422668457},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.5499798059463501},{"id":"https://openalex.org/keywords/finite-impulse-response","display_name":"Finite impulse response","score":0.5482762455940247},{"id":"https://openalex.org/keywords/infinite-impulse-response","display_name":"Infinite impulse response","score":0.5124059319496155},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.5017654895782471},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.47810786962509155},{"id":"https://openalex.org/keywords/inverse-filter","display_name":"Inverse filter","score":0.47550898790359497},{"id":"https://openalex.org/keywords/moore\u2013penrose-pseudoinverse","display_name":"Moore\u2013Penrose pseudoinverse","score":0.421924889087677},{"id":"https://openalex.org/keywords/computational-complexity-theory","display_name":"Computational complexity theory","score":0.4177325665950775},{"id":"https://openalex.org/keywords/inverse","display_name":"Inverse","score":0.3959500193595886},{"id":"https://openalex.org/keywords/digital-filter","display_name":"Digital filter","score":0.3199807405471802},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2865467667579651},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.16808953881263733},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.16394037008285522}],"concepts":[{"id":"https://openalex.org/C100515483","wikidata":"https://www.wikidata.org/wiki/Q3268235","display_name":"Filter bank","level":3,"score":0.7432388067245483},{"id":"https://openalex.org/C2778790127","wikidata":"https://www.wikidata.org/wiki/Q484885","display_name":"Erasure","level":2,"score":0.7260611653327942},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.6869250535964966},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6521656513214111},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.5952687859535217},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.5778050422668457},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.5499798059463501},{"id":"https://openalex.org/C198386975","wikidata":"https://www.wikidata.org/wiki/Q117785","display_name":"Finite impulse response","level":2,"score":0.5482762455940247},{"id":"https://openalex.org/C183816354","wikidata":"https://www.wikidata.org/wiki/Q665617","display_name":"Infinite impulse response","level":4,"score":0.5124059319496155},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.5017654895782471},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.47810786962509155},{"id":"https://openalex.org/C2779948431","wikidata":"https://www.wikidata.org/wiki/Q17092649","display_name":"Inverse filter","level":3,"score":0.47550898790359497},{"id":"https://openalex.org/C21556879","wikidata":"https://www.wikidata.org/wiki/Q43219517","display_name":"Moore\u2013Penrose pseudoinverse","level":3,"score":0.421924889087677},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.4177325665950775},{"id":"https://openalex.org/C207467116","wikidata":"https://www.wikidata.org/wiki/Q4385666","display_name":"Inverse","level":2,"score":0.3959500193595886},{"id":"https://openalex.org/C36390408","wikidata":"https://www.wikidata.org/wiki/Q1163067","display_name":"Digital filter","level":3,"score":0.3199807405471802},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2865467667579651},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.16808953881263733},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.16394037008285522},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isit.2004.1365600","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isit.2004.1365600","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Symposium onInformation Theory, 2004. ISIT 2004. Proceedings.","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11","score":0.6700000166893005}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":5,"referenced_works":["https://openalex.org/W1580306787","https://openalex.org/W2104356918","https://openalex.org/W2108148759","https://openalex.org/W2146483404","https://openalex.org/W6675909487"],"related_works":["https://openalex.org/W2164337822","https://openalex.org/W1548583297","https://openalex.org/W1920600732","https://openalex.org/W2146483501","https://openalex.org/W2006598731","https://openalex.org/W2036014614","https://openalex.org/W2104021551","https://openalex.org/W2095686021","https://openalex.org/W2102355867","https://openalex.org/W2145513837"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3],"propose":[4],"a":[5,60],"decoder":[6,20,57,82],"which":[7,10,63],"reconstructs":[8],"signals":[9],"are":[11,94],"joint-source":[12],"channel":[13,41],"encoded":[14],"using":[15,98],"oversampled":[16],"filter":[17,61],"banks.":[18],"The":[19,56,91],"is":[21,83],"based":[22],"on":[23,42,72],"operating":[24],"the":[25,29,35,39,43,47,51,73,77,81],"para-pseudoinverse":[26],"corresponding":[27],"to":[28,87],"cascaded":[30],"transform":[31],"function":[32],"consisting":[33],"of":[34,59,66,80],"source":[36],"encoder":[37],"and":[38],"erasure":[40,74],"received":[44],"signal.":[45],"Hence,":[46],"proposed":[48,89],"method":[49],"minimizes":[50],"reconstruction":[52],"mean":[53],"square":[54],"error.":[55],"consists":[58],"bank":[62],"can":[64],"comprise":[65],"FIR":[67],"or":[68],"IIR":[69],"filters":[70],"depending":[71],"channel.":[75],"Hence":[76],"computational":[78],"complexity":[79],"also":[84],"lower":[85],"compared":[86],"earlier":[88],"techniques.":[90],"theoretical":[92],"results":[93],"validated":[95],"by":[96],"simulations":[97],"image":[99],"data.":[100]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}