{"id":"https://openalex.org/W2146248247","doi":"https://doi.org/10.1109/icassp.2012.6288626","title":"Block-sparsity pattern recovery from noisy observations","display_name":"Block-sparsity pattern recovery from noisy observations","publication_year":2012,"publication_date":"2012-03-01","ids":{"openalex":"https://openalex.org/W2146248247","doi":"https://doi.org/10.1109/icassp.2012.6288626","mag":"2146248247"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2012.6288626","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2012.6288626","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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/A5067626381","display_name":"Jun Fang","orcid":"https://orcid.org/0000-0001-7427-4723"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jun Fang","raw_affiliation_strings":["National Key Laboratory on Communications, University of Electronic Science and Technology, Chengdu, China","National Key Laboratory on Communications, University of Electronic Science and Technology of China Chengdu 610054, China"],"affiliations":[{"raw_affiliation_string":"National Key Laboratory on Communications, University of Electronic Science and Technology, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]},{"raw_affiliation_string":"National Key Laboratory on Communications, University of Electronic Science and Technology of China Chengdu 610054, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100365817","display_name":"Hongbin Li","orcid":"https://orcid.org/0000-0003-1453-847X"},"institutions":[{"id":"https://openalex.org/I108468826","display_name":"Stevens Institute of Technology","ror":"https://ror.org/02z43xh36","country_code":"US","type":"education","lineage":["https://openalex.org/I108468826"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hongbin Li","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Stevens Institute of Technology, Hoboken, NJ, USA","Department of Electrical and Computer Engineering, Stevens Institute of Technology, Hoboken, NJ 07030 USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Stevens Institute of Technology, Hoboken, NJ, USA","institution_ids":["https://openalex.org/I108468826"]},{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Stevens Institute of Technology, Hoboken, NJ 07030 USA","institution_ids":["https://openalex.org/I108468826"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5067626381"],"corresponding_institution_ids":["https://openalex.org/I150229711"],"apc_list":null,"apc_paid":null,"fwci":1.0286,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.77537645,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"53","issue":null,"first_page":"3321","last_page":"3324"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":1.0,"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":1.0,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9994999766349792,"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/T10662","display_name":"Ultrasonics and Acoustic Wave Propagation","score":0.9991999864578247,"subfield":{"id":"https://openalex.org/subfields/2211","display_name":"Mechanics of Materials"},"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/block","display_name":"Block (permutation group theory)","score":0.8818577527999878},{"id":"https://openalex.org/keywords/matching-pursuit","display_name":"Matching pursuit","score":0.7975446581840515},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.6321799159049988},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.6302763223648071},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6167277693748474},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4539957642555237},{"id":"https://openalex.org/keywords/simple","display_name":"Simple (philosophy)","score":0.4369312524795532},{"id":"https://openalex.org/keywords/noise-measurement","display_name":"Noise measurement","score":0.43527457118034363},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.42963922023773193},{"id":"https://openalex.org/keywords/sparse-approximation","display_name":"Sparse approximation","score":0.41227826476097107},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.35146647691726685},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.34736478328704834},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.31695759296417236},{"id":"https://openalex.org/keywords/compressed-sensing","display_name":"Compressed sensing","score":0.30853012204170227},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.05978557467460632},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.05880093574523926},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.04536622762680054}],"concepts":[{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.8818577527999878},{"id":"https://openalex.org/C156872377","wikidata":"https://www.wikidata.org/wiki/Q6786281","display_name":"Matching pursuit","level":3,"score":0.7975446581840515},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.6321799159049988},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.6302763223648071},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6167277693748474},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4539957642555237},{"id":"https://openalex.org/C2780586882","wikidata":"https://www.wikidata.org/wiki/Q7520643","display_name":"Simple (philosophy)","level":2,"score":0.4369312524795532},{"id":"https://openalex.org/C29265498","wikidata":"https://www.wikidata.org/wiki/Q7047719","display_name":"Noise measurement","level":3,"score":0.43527457118034363},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.42963922023773193},{"id":"https://openalex.org/C124066611","wikidata":"https://www.wikidata.org/wiki/Q28684319","display_name":"Sparse approximation","level":2,"score":0.41227826476097107},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.35146647691726685},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.34736478328704834},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.31695759296417236},{"id":"https://openalex.org/C124851039","wikidata":"https://www.wikidata.org/wiki/Q2665459","display_name":"Compressed sensing","level":2,"score":0.30853012204170227},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.05978557467460632},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.05880093574523926},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.04536622762680054},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp.2012.6288626","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2012.6288626","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W1674742109","https://openalex.org/W2102380305","https://openalex.org/W2111730426","https://openalex.org/W2114129195","https://openalex.org/W2116148865","https://openalex.org/W2125680629","https://openalex.org/W2127271355","https://openalex.org/W2128659236","https://openalex.org/W2135780853","https://openalex.org/W2141556672","https://openalex.org/W2147276092","https://openalex.org/W2147656689","https://openalex.org/W2168693853","https://openalex.org/W3125735862"],"related_works":["https://openalex.org/W2098521117","https://openalex.org/W4319793311","https://openalex.org/W2465351041","https://openalex.org/W4385694579","https://openalex.org/W2340242818","https://openalex.org/W4300881421","https://openalex.org/W2103001330","https://openalex.org/W2012574959","https://openalex.org/W2262109992","https://openalex.org/W2241396314"],"abstract_inverted_index":{"We":[0,45],"study":[1],"the":[2,6,24,40,51,54,59,63,75],"problem":[3],"of":[4,9,23,53,65],"recovering":[5,39],"sparsity":[7,87],"pattern":[8,42],"block-sparse":[10,60],"signals":[11],"from":[12],"noise-corrupted":[13],"measurements.":[14],"A":[15],"simple,":[16],"efficient":[17],"recovery":[18,76,83],"method,":[19,29],"namely,":[20],"a":[21,81,85],"block-version":[22,52],"orthogonal":[25],"matching":[26],"pursuit":[27],"(OMP)":[28],"is":[30,43],"considered":[31],"in":[32,62],"this":[33],"paper":[34],"and":[35,78],"its":[36],"behavior":[37],"for":[38,84],"block-sparsity":[41,72],"analyzed.":[44],"provide":[46],"sufficient":[47],"conditions":[48],"under":[49],"which":[50],"OMP":[55],"can":[56,73],"successfully":[57],"recover":[58],"representations":[61],"presence":[64],"noise.":[66],"Our":[67],"analysis":[68],"reveals":[69],"that":[70],"exploiting":[71],"improve":[74],"ability":[77],"lead":[79],"to":[80,93],"guaranteed":[82],"higher":[86],"level.":[88],"Numerical":[89],"results":[90],"are":[91],"presented":[92],"corroborate":[94],"our":[95],"theoretical":[96],"claim.":[97]},"counts_by_year":[{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":3},{"year":2015,"cited_by_count":2},{"year":2013,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
