{"id":"https://openalex.org/W2808385773","doi":"https://doi.org/10.1109/icassp.2018.8462387","title":"A Greedy Pursuit Algorithm for Separating Signals from Nonlinear Compressive Observations","display_name":"A Greedy Pursuit Algorithm for Separating Signals from Nonlinear Compressive Observations","publication_year":2018,"publication_date":"2018-04-01","ids":{"openalex":"https://openalex.org/W2808385773","doi":"https://doi.org/10.1109/icassp.2018.8462387","mag":"2808385773"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2018.8462387","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2018.8462387","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5103044811","display_name":"Sang Chin","orcid":"https://orcid.org/0000-0002-1913-4223"},"institutions":[{"id":"https://openalex.org/I111088046","display_name":"Boston University","ror":"https://ror.org/05qwgg493","country_code":"US","type":"education","lineage":["https://openalex.org/I111088046"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sang Chin","raw_affiliation_strings":["Department of Computer Science, Boston University, Boston, MA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Boston University, Boston, MA, USA","institution_ids":["https://openalex.org/I111088046"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101413113","display_name":"Trac D. Tran","orcid":"https://orcid.org/0000-0002-0421-8416"},"institutions":[{"id":"https://openalex.org/I145311948","display_name":"Johns Hopkins University","ror":"https://ror.org/00za53h95","country_code":"US","type":"education","lineage":["https://openalex.org/I145311948"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Trac D. Tran","raw_affiliation_strings":["Electrical and Computer Engineering Department, Johns Hopkins University, Baltimore, MD, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Electrical and Computer Engineering Department, Johns Hopkins University, Baltimore, MD, USA","institution_ids":["https://openalex.org/I145311948"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101507065","display_name":"Dung Tran","orcid":null},"institutions":[{"id":"https://openalex.org/I145311948","display_name":"Johns Hopkins University","ror":"https://ror.org/00za53h95","country_code":"US","type":"education","lineage":["https://openalex.org/I145311948"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Dung Tran","raw_affiliation_strings":["Electrical and Computer Engineering Department, Johns Hopkins University, Baltimore, MD, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Electrical and Computer Engineering Department, Johns Hopkins University, Baltimore, MD, USA","institution_ids":["https://openalex.org/I145311948"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5079543741","display_name":"Akshay Rangamani","orcid":null},"institutions":[{"id":"https://openalex.org/I145311948","display_name":"Johns Hopkins University","ror":"https://ror.org/00za53h95","country_code":"US","type":"education","lineage":["https://openalex.org/I145311948"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Akshay Rangamani","raw_affiliation_strings":["Electrical and Computer Engineering Department, Johns Hopkins University, Baltimore, MD, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Electrical and Computer Engineering Department, Johns Hopkins University, Baltimore, MD, USA","institution_ids":["https://openalex.org/I145311948"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"2171","last_page":"2175"},"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/T11447","display_name":"Blind Source Separation Techniques","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T12015","display_name":"Photoacoustic and Ultrasonic Imaging","score":0.9937999844551086,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"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/matching-pursuit","display_name":"Matching pursuit","score":0.810890793800354},{"id":"https://openalex.org/keywords/greedy-algorithm","display_name":"Greedy algorithm","score":0.7650306224822998},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.7055615782737732},{"id":"https://openalex.org/keywords/compressed-sensing","display_name":"Compressed sensing","score":0.7022743225097656},{"id":"https://openalex.org/keywords/nonlinear-system","display_name":"Nonlinear system","score":0.6741734743118286},{"id":"https://openalex.org/keywords/thresholding","display_name":"Thresholding","score":0.6583055257797241},{"id":"https://openalex.org/keywords/superposition-principle","display_name":"Superposition principle","score":0.5814563035964966},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5461361408233643},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4618476927280426},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.33989161252975464},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3162183165550232},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.29923415184020996},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2350403070449829}],"concepts":[{"id":"https://openalex.org/C156872377","wikidata":"https://www.wikidata.org/wiki/Q6786281","display_name":"Matching pursuit","level":3,"score":0.810890793800354},{"id":"https://openalex.org/C51823790","wikidata":"https://www.wikidata.org/wiki/Q504353","display_name":"Greedy algorithm","level":2,"score":0.7650306224822998},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.7055615782737732},{"id":"https://openalex.org/C124851039","wikidata":"https://www.wikidata.org/wiki/Q2665459","display_name":"Compressed sensing","level":2,"score":0.7022743225097656},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.6741734743118286},{"id":"https://openalex.org/C191178318","wikidata":"https://www.wikidata.org/wiki/Q2256906","display_name":"Thresholding","level":3,"score":0.6583055257797241},{"id":"https://openalex.org/C27753989","wikidata":"https://www.wikidata.org/wiki/Q284885","display_name":"Superposition principle","level":2,"score":0.5814563035964966},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5461361408233643},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4618476927280426},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.33989161252975464},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3162183165550232},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.29923415184020996},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2350403070449829},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","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},{"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/icassp.2018.8462387","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2018.8462387","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 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/W1499025880","https://openalex.org/W1595205431","https://openalex.org/W1999905919","https://openalex.org/W2018990310","https://openalex.org/W2051237969","https://openalex.org/W2097323375","https://openalex.org/W2109357213","https://openalex.org/W2127271355","https://openalex.org/W2145962650","https://openalex.org/W2151693816","https://openalex.org/W2160979406","https://openalex.org/W2289917018","https://openalex.org/W2293318283","https://openalex.org/W2598177887"],"related_works":["https://openalex.org/W2098521117","https://openalex.org/W2465351041","https://openalex.org/W4385694579","https://openalex.org/W2340242818","https://openalex.org/W4300881421","https://openalex.org/W2103001330","https://openalex.org/W4319793311","https://openalex.org/W2262109992","https://openalex.org/W3015194228","https://openalex.org/W2381127329"],"abstract_inverted_index":{"In":[0,20],"this":[1,21,51],"paper":[2],"we":[3,23],"study":[4],"the":[5,25,29,57,61,78],"unmixing":[6],"problem":[7],"which":[8,28],"aims":[9],"to":[10,49,77],"separate":[11],"a":[12,39,87],"set":[13],"of":[14,89],"structured":[15],"signals":[16],"from":[17,63],"their":[18,64],"superposition.":[19],"paper,":[22],"consider":[24],"scenario":[26],"in":[27,86],"mixture":[30],"is":[31],"observed":[32],"via":[33],"nonlinear":[34,66],"compressive":[35,67],"measurements.":[36],"We":[37,53,73],"present":[38],"fast,":[40],"robust,":[41],"greedy":[42],"algorithm":[43,58,76,84],"called":[44],"Unmixing":[45],"Matching":[46],"Pursuit":[47],"(UnmixMP)":[48],"solve":[50],"problem.":[52],"prove":[54],"rigorously":[55],"that":[56],"can":[59],"recover":[60],"constituents":[62],"noisy":[65],"measurements":[68],"with":[69,80],"arbitrarily":[70],"small":[71],"error.":[72],"compare":[74],"our":[75],"Demixing":[79],"Hard":[81],"Thresholding":[82],"(DHT)":[83],"[1],":[85],"number":[88],"experiments":[90],"on":[91],"synthetic":[92],"and":[93],"real":[94],"data.":[95]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
