{"id":"https://openalex.org/W2065313512","doi":"https://doi.org/10.1109/tsp.2014.2298374","title":"Optimum Compression of a Noisy Measurement for Transmission Over a Noisy Channel","display_name":"Optimum Compression of a Noisy Measurement for Transmission Over a Noisy Channel","publication_year":2014,"publication_date":"2014-01-31","ids":{"openalex":"https://openalex.org/W2065313512","doi":"https://doi.org/10.1109/tsp.2014.2298374","mag":"2065313512"},"language":"en","primary_location":{"id":"doi:10.1109/tsp.2014.2298374","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsp.2014.2298374","pdf_url":null,"source":{"id":"https://openalex.org/S168680287","display_name":"IEEE Transactions on Signal Processing","issn_l":"1053-587X","issn":["1053-587X","1941-0476"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Signal Processing","raw_type":"journal-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/A5100344804","display_name":"Yuan Wang","orcid":"https://orcid.org/0000-0001-5724-555X"},"institutions":[{"id":"https://openalex.org/I92446798","display_name":"Colorado State University","ror":"https://ror.org/03k1gpj17","country_code":"US","type":"education","lineage":["https://openalex.org/I92446798"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yuan Wang","raw_affiliation_strings":["Department of Statistics, Colorado State University, Fort Collins, CO, USA","Dept. of Stat., Colorado State Univ., Fort Collins, CO, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Statistics, Colorado State University, Fort Collins, CO, USA","institution_ids":["https://openalex.org/I92446798"]},{"raw_affiliation_string":"Dept. of Stat., Colorado State Univ., Fort Collins, CO, USA","institution_ids":["https://openalex.org/I92446798"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100342610","display_name":"Haonan Wang","orcid":"https://orcid.org/0000-0003-1587-8628"},"institutions":[{"id":"https://openalex.org/I92446798","display_name":"Colorado State University","ror":"https://ror.org/03k1gpj17","country_code":"US","type":"education","lineage":["https://openalex.org/I92446798"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Haonan Wang","raw_affiliation_strings":["Department of Statistics, Colorado State University, Fort Collins, CO, USA","Dept. of Stat., Colorado State Univ., Fort Collins, CO, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Statistics, Colorado State University, Fort Collins, CO, USA","institution_ids":["https://openalex.org/I92446798"]},{"raw_affiliation_string":"Dept. of Stat., Colorado State Univ., Fort Collins, CO, USA","institution_ids":["https://openalex.org/I92446798"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5080469112","display_name":"Louis L. Scharf","orcid":"https://orcid.org/0000-0003-1764-9335"},"institutions":[{"id":"https://openalex.org/I92446798","display_name":"Colorado State University","ror":"https://ror.org/03k1gpj17","country_code":"US","type":"education","lineage":["https://openalex.org/I92446798"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Louis L. Scharf","raw_affiliation_strings":["Departments of Mathematics and Statistics, Colorado State University, Fort Collins, CO, USA","Depts. of Math. & Stat., Colorado State Univ., Fort Collins, CO, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Departments of Mathematics and Statistics, Colorado State University, Fort Collins, CO, USA","institution_ids":["https://openalex.org/I92446798"]},{"raw_affiliation_string":"Depts. of Math. & Stat., Colorado State Univ., Fort Collins, CO, USA","institution_ids":["https://openalex.org/I92446798"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I92446798"],"apc_list":null,"apc_paid":null,"fwci":3.4307,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.91804745,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"62","issue":"5","first_page":"1279","last_page":"1289"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9997000098228455,"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":0.9997000098228455,"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":0.9995999932289124,"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/T11233","display_name":"Advanced Adaptive Filtering Techniques","score":0.9973999857902527,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5914377570152283},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.5786293148994446},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5415023565292358},{"id":"https://openalex.org/keywords/matrix-decomposition","display_name":"Matrix decomposition","score":0.5045827627182007},{"id":"https://openalex.org/keywords/covariance-matrix","display_name":"Covariance matrix","score":0.4897051155567169},{"id":"https://openalex.org/keywords/noise-measurement","display_name":"Noise measurement","score":0.4696114659309387},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.46310871839523315},{"id":"https://openalex.org/keywords/bandwidth","display_name":"Bandwidth (computing)","score":0.4419742822647095},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.38162773847579956},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.34144163131713867},{"id":"https://openalex.org/keywords/eigenvalues-and-eigenvectors","display_name":"Eigenvalues and eigenvectors","score":0.19862645864486694},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.1983954906463623},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.1818615198135376}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5914377570152283},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.5786293148994446},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5415023565292358},{"id":"https://openalex.org/C42355184","wikidata":"https://www.wikidata.org/wiki/Q1361088","display_name":"Matrix decomposition","level":3,"score":0.5045827627182007},{"id":"https://openalex.org/C185142706","wikidata":"https://www.wikidata.org/wiki/Q1134404","display_name":"Covariance matrix","level":2,"score":0.4897051155567169},{"id":"https://openalex.org/C29265498","wikidata":"https://www.wikidata.org/wiki/Q7047719","display_name":"Noise measurement","level":3,"score":0.4696114659309387},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.46310871839523315},{"id":"https://openalex.org/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.4419742822647095},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.38162773847579956},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.34144163131713867},{"id":"https://openalex.org/C158693339","wikidata":"https://www.wikidata.org/wiki/Q190524","display_name":"Eigenvalues and eigenvectors","level":2,"score":0.19862645864486694},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.1983954906463623},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.1818615198135376},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tsp.2014.2298374","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsp.2014.2298374","pdf_url":null,"source":{"id":"https://openalex.org/S168680287","display_name":"IEEE Transactions on Signal Processing","issn_l":"1053-587X","issn":["1053-587X","1941-0476"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Signal Processing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1578953027","https://openalex.org/W2089105767","https://openalex.org/W2097695636","https://openalex.org/W2097886685","https://openalex.org/W2102605525","https://openalex.org/W2110768232","https://openalex.org/W2111616148","https://openalex.org/W2117561657","https://openalex.org/W2130667916","https://openalex.org/W2136369477","https://openalex.org/W2137521691","https://openalex.org/W2137736549","https://openalex.org/W2149329249","https://openalex.org/W2478708596","https://openalex.org/W3100302110","https://openalex.org/W3104299892","https://openalex.org/W4237723258","https://openalex.org/W4292666002"],"related_works":["https://openalex.org/W2387796150","https://openalex.org/W2539013788","https://openalex.org/W1990319978","https://openalex.org/W2386722878","https://openalex.org/W4287867034","https://openalex.org/W3108403339","https://openalex.org/W2162712524","https://openalex.org/W3005783148","https://openalex.org/W2004821155","https://openalex.org/W4367628250"],"abstract_inverted_index":{"This":[0],"paper":[1],"is":[2,36,147],"motivated":[3],"by":[4,96,108],"sensing":[5],"and":[6,103,133],"wireless":[7],"communication,":[8],"where":[9],"data":[10],"compression":[11,67,142],"or":[12,73],"dimension":[13],"reduction":[14],"may":[15],"be":[16,53],"used":[17],"to":[18,37,129],"reduce":[19],"the":[20,45,48,61,65,71,76,83,113,118,124,139,150],"required":[21],"communication":[22],"bandwidth.":[23],"High-dimensional":[24],"measurements":[25],"are":[26],"converted":[27],"into":[28,112],"low-dimensional":[29],"representations":[30],"through":[31],"linear":[32],"compression.":[33,152],"Our":[34],"aim":[35],"compress":[38],"a":[39,56,86,91,109,135],"noisy":[40,57],"sensor":[41],"measurement,":[42],"allowing":[43],"for":[44,64,100,138,149],"fact":[46],"that":[47,69,82],"compressed":[49],"measurement":[50],"will":[51],"then":[52],"transmitted":[54],"over":[55],"channel.":[58],"We":[59,80],"give":[60],"closed-form":[62],"expression":[63],"optimal":[66,141,151],"matrix":[68],"minimizes":[70],"trace":[72],"determinant":[74],"of":[75,90,117],"error":[77],"covariance":[78],"matrix.":[79,143],"show":[81],"solutions":[84],"share":[85],"common":[87],"architecture":[88],"consisting":[89],"canonical":[92,101],"coordinate":[93,110],"transformation,":[94],"scaling":[95],"coefficients":[97],"which":[98],"account":[99],"correlations":[102],"channel":[104,119],"noise":[105],"variance,":[106],"followed":[107],"transformation":[111],"sub-dominant":[114],"invariant":[115],"subspace":[116],"noise.":[120],"Furthermore,":[121],"we":[122],"explore":[123],"design":[125],"problem":[126],"with":[127],"respect":[128],"more":[130],"general":[131],"criteria":[132],"provide":[134],"unified":[136],"factorization":[137],"corresponding":[140],"A":[144],"necessary":[145],"condition":[146],"obtained":[148]},"counts_by_year":[{"year":2019,"cited_by_count":1},{"year":2016,"cited_by_count":4},{"year":2015,"cited_by_count":4},{"year":2014,"cited_by_count":3},{"year":2013,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}