{"id":"https://openalex.org/W2154293998","doi":"https://doi.org/10.1109/icassp.2009.4960106","title":"Distributed Karhunen-Loève Transform with nested subspaces","display_name":"Distributed Karhunen-Loève Transform with nested subspaces","publication_year":2009,"publication_date":"2009-04-01","ids":{"openalex":"https://openalex.org/W2154293998","doi":"https://doi.org/10.1109/icassp.2009.4960106","mag":"2154293998"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2009.4960106","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2009.4960106","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 IEEE International Conference on Acoustics, Speech and Signal Processing","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"http://infoscience.epfl.ch/record/169538","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5025728381","display_name":"Naveen Goela","orcid":"https://orcid.org/0000-0003-2618-1834"},"institutions":[{"id":"https://openalex.org/I95457486","display_name":"University of California, Berkeley","ror":"https://ror.org/01an7q238","country_code":"US","type":"education","lineage":["https://openalex.org/I95457486"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Naveen Goela","raw_affiliation_strings":["Wireless Foundations Center, Department of EECS, University of California Berkeley, Berkeley, CA, USA"],"affiliations":[{"raw_affiliation_string":"Wireless Foundations Center, Department of EECS, University of California Berkeley, Berkeley, CA, USA","institution_ids":["https://openalex.org/I95457486"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5063528341","display_name":"Michael Gastpar","orcid":"https://orcid.org/0000-0002-5499-5336"},"institutions":[{"id":"https://openalex.org/I95457486","display_name":"University of California, Berkeley","ror":"https://ror.org/01an7q238","country_code":"US","type":"education","lineage":["https://openalex.org/I95457486"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Michael Gastpar","raw_affiliation_strings":["Wireless Foundations Center, Department of EECS, University of California Berkeley, Berkeley, CA, USA"],"affiliations":[{"raw_affiliation_string":"Wireless Foundations Center, Department of EECS, University of California Berkeley, Berkeley, CA, USA","institution_ids":["https://openalex.org/I95457486"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5025728381"],"corresponding_institution_ids":["https://openalex.org/I95457486"],"apc_list":null,"apc_paid":null,"fwci":0.6857,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.74720886,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"2405","last_page":"2408"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12879","display_name":"Distributed Sensor Networks and Detection Algorithms","score":0.9997000098228455,"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"}},"topics":[{"id":"https://openalex.org/T12879","display_name":"Distributed Sensor Networks and Detection Algorithms","score":0.9997000098228455,"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/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/T10711","display_name":"Target Tracking and Data Fusion in Sensor Networks","score":0.9977999925613403,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/karhunen\u2013lo\u00e8ve-theorem","display_name":"Karhunen\u2013Lo\u00e8ve theorem","score":0.8922669887542725},{"id":"https://openalex.org/keywords/linear-subspace","display_name":"Linear subspace","score":0.7545869946479797},{"id":"https://openalex.org/keywords/subspace-topology","display_name":"Subspace topology","score":0.563097357749939},{"id":"https://openalex.org/keywords/distortion","display_name":"Distortion (music)","score":0.5241311192512512},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5055077075958252},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4818364381790161},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3915649950504303},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.21103551983833313},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.11430668830871582},{"id":"https://openalex.org/keywords/bandwidth","display_name":"Bandwidth (computing)","score":0.09050476551055908}],"concepts":[{"id":"https://openalex.org/C109308471","wikidata":"https://www.wikidata.org/wiki/Q2046647","display_name":"Karhunen\u2013Lo\u00e8ve theorem","level":2,"score":0.8922669887542725},{"id":"https://openalex.org/C12362212","wikidata":"https://www.wikidata.org/wiki/Q728435","display_name":"Linear subspace","level":2,"score":0.7545869946479797},{"id":"https://openalex.org/C32834561","wikidata":"https://www.wikidata.org/wiki/Q660730","display_name":"Subspace topology","level":2,"score":0.563097357749939},{"id":"https://openalex.org/C126780896","wikidata":"https://www.wikidata.org/wiki/Q899871","display_name":"Distortion (music)","level":4,"score":0.5241311192512512},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5055077075958252},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4818364381790161},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3915649950504303},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.21103551983833313},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.11430668830871582},{"id":"https://openalex.org/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.09050476551055908},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C194257627","wikidata":"https://www.wikidata.org/wiki/Q211554","display_name":"Amplifier","level":3,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icassp.2009.4960106","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2009.4960106","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 IEEE International Conference on Acoustics, Speech and Signal Processing","raw_type":"proceedings-article"},{"id":"pmh:oai:infoscience.tind.io:169538","is_oa":true,"landing_page_url":"http://infoscience.epfl.ch/record/169538","pdf_url":null,"source":{"id":"https://openalex.org/S4306400487","display_name":"Infoscience (Ecole Polytechnique F\u00e9d\u00e9rale de Lausanne)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"conference proceedings"}],"best_oa_location":{"id":"pmh:oai:infoscience.tind.io:169538","is_oa":true,"landing_page_url":"http://infoscience.epfl.ch/record/169538","pdf_url":null,"source":{"id":"https://openalex.org/S4306400487","display_name":"Infoscience (Ecole Polytechnique F\u00e9d\u00e9rale de Lausanne)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"conference proceedings"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W1577142396","https://openalex.org/W2089105767","https://openalex.org/W2102929596","https://openalex.org/W2120166106","https://openalex.org/W2138451337","https://openalex.org/W2166816543","https://openalex.org/W2400972628","https://openalex.org/W2615253071","https://openalex.org/W6638627527"],"related_works":["https://openalex.org/W3100286349","https://openalex.org/W2896134808","https://openalex.org/W4289378085","https://openalex.org/W4294291164","https://openalex.org/W3172436493","https://openalex.org/W1887135636","https://openalex.org/W4287164812","https://openalex.org/W2386063599","https://openalex.org/W1975884855","https://openalex.org/W3213150849"],"abstract_inverted_index":{"A":[0,121],"network":[1],"in":[2,111,176],"which":[3],"sensors":[4],"observe":[5],"a":[6,13,24,32,41,58,82,108,117],"common":[7],"Gaussian":[8],"source":[9,38,110],"is":[10,29,133,152],"analyzed.":[11],"Using":[12],"fixed":[14],"linear":[15,61,75],"transform,":[16],"each":[17,66],"sensor":[18,119,177],"compresses":[19],"its":[20],"high-dimensional":[21],"observation":[22],"into":[23],"low-dimensional":[25],"representation.":[26],"The":[27,48],"latter":[28],"provided":[30],"to":[31,40,56,92,106,116,141,155],"central":[33],"decoder":[34,105],"that":[35,99],"reconstructs":[36],"the":[37,69,72,87,93,104,136,142],"according":[39,115],"mean":[42],"squared":[43],"error":[44],"(MSE)":[45],"distortion":[46,74,122],"metric.":[47],"distributed":[49,126],"Karhunen-Loeve":[50],"Transform":[51],"(d-KLT)":[52],"has":[53],"been":[54],"shown":[55],"provide":[57],"(locally)":[59],"optimal":[60],"solution":[62],"for":[63,124,167],"compression":[64],"at":[65],"sensor.":[67],"While":[68],"d-KLT":[70],"achieves":[71],"lowest":[73],"reconstruction":[76],"known,":[77],"it":[78,151],"does":[79],"not":[80],"maintain":[81,100],"nested":[83,101,129,157],"subspace":[84,130],"structure.":[85],"In":[86,135],"case":[88,137],"of":[89,138,146],"ideal":[90],"links":[91],"decoder,":[94,143],"this":[95],"paper":[96],"presents":[97],"transforms":[98],"subspaces,":[102,150],"allowing":[103],"approximate":[107],"delay-limited":[109],"an":[112],"online":[113,173],"fashion":[114],"desired":[118],"schedule.":[120],"envelope":[123],"one":[125],"transform":[127],"with":[128],"properties":[131],"(d-nested-KLT)":[132],"provided.":[134],"i.i.d.":[139],"noise":[140],"under":[144],"assumptions":[145],"power":[147],"allocation":[148],"over":[149,170],"also":[153],"possible":[154],"achieve":[156],"subspaces":[158],"utilizing":[159],"correlations":[160],"between":[161],"sensors'":[162],"observations.":[163],"Results":[164],"are":[165],"applicable":[166],"data":[168],"access":[169],"networks,":[171],"and":[172],"information":[174],"processing":[175],"networks.":[178]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2016-06-24T00:00:00"}