{"id":"https://openalex.org/W2401028302","doi":"https://doi.org/10.1109/icassp.2016.7472552","title":"Signal reconstruction in the presence of side information: The impact of projection kernel design","display_name":"Signal reconstruction in the presence of side information: The impact of projection kernel design","publication_year":2016,"publication_date":"2016-03-01","ids":{"openalex":"https://openalex.org/W2401028302","doi":"https://doi.org/10.1109/icassp.2016.7472552","mag":"2401028302"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2016.7472552","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2016.7472552","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://discovery.ucl.ac.uk/1530190/1/Chen_20150924085855_194795_2285.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5020062846","display_name":"Meng-Yang Chen","orcid":"https://orcid.org/0000-0003-3300-8976"},"institutions":[{"id":"https://openalex.org/I45129253","display_name":"University College London","ror":"https://ror.org/02jx3x895","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I45129253"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Meng-Yang Chen","raw_affiliation_strings":["Department of Electronic and Electrical Engineering, University College London"],"affiliations":[{"raw_affiliation_string":"Department of Electronic and Electrical Engineering, University College London","institution_ids":["https://openalex.org/I45129253"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057294055","display_name":"Francesco Renna","orcid":null},"institutions":[{"id":"https://openalex.org/I45129253","display_name":"University College London","ror":"https://ror.org/02jx3x895","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I45129253"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Francesco Renna","raw_affiliation_strings":["Department of Electronic and Electrical Engineering, University College London"],"affiliations":[{"raw_affiliation_string":"Department of Electronic and Electrical Engineering, University College London","institution_ids":["https://openalex.org/I45129253"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5044634366","display_name":"Miguel R. D. Rodrigues","orcid":"https://orcid.org/0000-0002-8908-847X"},"institutions":[{"id":"https://openalex.org/I45129253","display_name":"University College London","ror":"https://ror.org/02jx3x895","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I45129253"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Miguel R. D. Rodrigues","raw_affiliation_strings":["Department of Electronic and Electrical Engineering, University College London"],"affiliations":[{"raw_affiliation_string":"Department of Electronic and Electrical Engineering, University College London","institution_ids":["https://openalex.org/I45129253"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5020062846"],"corresponding_institution_ids":["https://openalex.org/I45129253"],"apc_list":null,"apc_paid":null,"fwci":0.617,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.68526566,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"21","issue":null,"first_page":"4618","last_page":"4622"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9980999827384949,"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":0.9980999827384949,"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":0.9980000257492065,"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"}},{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9959999918937683,"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/projection","display_name":"Projection (relational algebra)","score":0.6915707588195801},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6636157035827637},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.5676363110542297},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5564826726913452},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.5550438165664673},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5394545197486877},{"id":"https://openalex.org/keywords/iterative-reconstruction","display_name":"Iterative reconstruction","score":0.50362628698349},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.49428820610046387},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.4708511233329773},{"id":"https://openalex.org/keywords/signal-reconstruction","display_name":"Signal reconstruction","score":0.45720914006233215},{"id":"https://openalex.org/keywords/gaussian-noise","display_name":"Gaussian noise","score":0.41472870111465454},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.311266154050827},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.25270792841911316},{"id":"https://openalex.org/keywords/signal-processing","display_name":"Signal processing","score":0.2521969676017761},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.16544228792190552},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.1439027488231659}],"concepts":[{"id":"https://openalex.org/C57493831","wikidata":"https://www.wikidata.org/wiki/Q3134666","display_name":"Projection (relational algebra)","level":2,"score":0.6915707588195801},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6636157035827637},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.5676363110542297},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5564826726913452},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.5550438165664673},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5394545197486877},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.50362628698349},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.49428820610046387},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.4708511233329773},{"id":"https://openalex.org/C70958404","wikidata":"https://www.wikidata.org/wiki/Q7512728","display_name":"Signal reconstruction","level":4,"score":0.45720914006233215},{"id":"https://openalex.org/C4199805","wikidata":"https://www.wikidata.org/wiki/Q2725903","display_name":"Gaussian noise","level":2,"score":0.41472870111465454},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.311266154050827},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.25270792841911316},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.2521969676017761},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.16544228792190552},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.1439027488231659},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icassp.2016.7472552","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2016.7472552","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"},{"id":"pmh:oai:eprints.ucl.ac.uk.OAI2:1530190","is_oa":true,"landing_page_url":"https://discovery.ucl.ac.uk/id/eprint/1530190/","pdf_url":"https://discovery.ucl.ac.uk/1530190/1/Chen_20150924085855_194795_2285.pdf","source":{"id":"https://openalex.org/S4306400024","display_name":"UCL Discovery (University College London)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I45129253","host_organization_name":"University College London","host_organization_lineage":["https://openalex.org/I45129253"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"     In:  2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).  (pp. pp. 4618-4622).  IEEE (2016)     ","raw_type":"Proceedings paper"}],"best_oa_location":{"id":"pmh:oai:eprints.ucl.ac.uk.OAI2:1530190","is_oa":true,"landing_page_url":"https://discovery.ucl.ac.uk/id/eprint/1530190/","pdf_url":"https://discovery.ucl.ac.uk/1530190/1/Chen_20150924085855_194795_2285.pdf","source":{"id":"https://openalex.org/S4306400024","display_name":"UCL Discovery (University College London)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I45129253","host_organization_name":"University College London","host_organization_lineage":["https://openalex.org/I45129253"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"     In:  2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).  (pp. pp. 4618-4622).  IEEE (2016)     ","raw_type":"Proceedings paper"},"sustainable_development_goals":[{"score":0.7099999785423279,"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11"}],"awards":[{"id":"https://openalex.org/G6084913331","display_name":null,"funder_award_id":"EP/K033166/1","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"}],"funders":[{"id":"https://openalex.org/F4320334627","display_name":"Engineering and Physical Sciences Research Council","ror":"https://ror.org/0439y7842"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2401028302.pdf","grobid_xml":"https://content.openalex.org/works/W2401028302.grobid-xml"},"referenced_works_count":32,"referenced_works":["https://openalex.org/W391578156","https://openalex.org/W1506806321","https://openalex.org/W1576263545","https://openalex.org/W1630288569","https://openalex.org/W1712805121","https://openalex.org/W1829836923","https://openalex.org/W1940092062","https://openalex.org/W2028339660","https://openalex.org/W2044652247","https://openalex.org/W2067810487","https://openalex.org/W2085229299","https://openalex.org/W2098316308","https://openalex.org/W2109320267","https://openalex.org/W2115733720","https://openalex.org/W2145096794","https://openalex.org/W2149400409","https://openalex.org/W2151693816","https://openalex.org/W2164452299","https://openalex.org/W2164814215","https://openalex.org/W2296616510","https://openalex.org/W2610857016","https://openalex.org/W2762625016","https://openalex.org/W2949567103","https://openalex.org/W2951576988","https://openalex.org/W2963414100","https://openalex.org/W4250955649","https://openalex.org/W4294583776","https://openalex.org/W6640913364","https://openalex.org/W6667530009","https://openalex.org/W6684092480","https://openalex.org/W6763763000","https://openalex.org/W6764245610"],"related_works":["https://openalex.org/W4390516098","https://openalex.org/W2181948922","https://openalex.org/W2384362569","https://openalex.org/W2142795561","https://openalex.org/W4205302943","https://openalex.org/W2561132942","https://openalex.org/W3155418658","https://openalex.org/W4243199227","https://openalex.org/W2004988775","https://openalex.org/W2592293938"],"abstract_inverted_index":{"This":[0],"paper":[1],"investigates":[2],"the":[3,9,18,29,34,53,61,68,77,83,87,98,110],"impact":[4,99],"of":[5,11,20,31,55,100,112],"projection":[6,101],"design":[7,102],"on":[8,52,103],"reconstruction":[10,63],"high-dimensional":[12],"signals":[13],"from":[14],"low-dimensional":[15],"measurements":[16,56],"in":[17,67,109],"presence":[19,111],"side":[21,35,78,113],"information.":[22,114],"In":[23],"particular,":[24],"we":[25],"assume":[26],"that":[27,60],"both":[28,74],"signal":[30],"interest":[32],"and":[33,49,89],"information":[36,79],"are":[37,71,93],"described":[38],"by":[39],"a":[40],"joint":[41],"Gaussian":[42],"mixture":[43],"model":[44],"(GMM)":[45],"distribution.":[46],"Sharp":[47],"necessary":[48],"sufficient":[50],"conditions":[51],"number":[54],"needed":[57],"to":[58,96],"guarantee":[59],"average":[62],"error":[64],"approaches":[65],"zero":[66],"low-noise":[69],"regime":[70],"derived,":[72],"for":[73],"cases":[75],"when":[76],"is":[80],"available":[81],"at":[82,86],"decoder":[84,88],"or":[85],"encoder.":[90],"Numerical":[91],"results":[92],"also":[94],"presented":[95],"showcase":[97],"applications":[104],"with":[105],"real":[106],"imaging":[107],"data":[108]},"counts_by_year":[{"year":2018,"cited_by_count":1},{"year":2016,"cited_by_count":1}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}
