{"id":"https://openalex.org/W2708516276","doi":"https://doi.org/10.1109/icassp.2017.7952871","title":"ProSparse extension: Prony's based sparse pattern recovery with extended dictionaries","display_name":"ProSparse extension: Prony's based sparse pattern recovery with extended dictionaries","publication_year":2017,"publication_date":"2017-03-01","ids":{"openalex":"https://openalex.org/W2708516276","doi":"https://doi.org/10.1109/icassp.2017.7952871","mag":"2708516276"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2017.7952871","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2017.7952871","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 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/A5037501616","display_name":"Junjie Huang","orcid":"https://orcid.org/0000-0003-2986-4665"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Jun-Jie Huang","raw_affiliation_strings":["Communications and Signal Processing Group (CSP), London, UK"],"affiliations":[{"raw_affiliation_string":"Communications and Signal Processing Group (CSP), London, UK","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5053203917","display_name":"Pier Luigi Dragotti","orcid":"https://orcid.org/0000-0002-6073-2807"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Pier Luigi Dragotti","raw_affiliation_strings":["Communications and Signal Processing Group (CSP), London, UK"],"affiliations":[{"raw_affiliation_string":"Communications and Signal Processing Group (CSP), London, UK","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5037501616"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.07422758,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"43","issue":null,"first_page":"3819","last_page":"3823"},"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":0.9998000264167786,"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":0.998199999332428,"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/basis-pursuit","display_name":"Basis pursuit","score":0.8343694806098938},{"id":"https://openalex.org/keywords/sparse-approximation","display_name":"Sparse approximation","score":0.7347606420516968},{"id":"https://openalex.org/keywords/extension","display_name":"Extension (predicate logic)","score":0.7207985520362854},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6010075807571411},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.6008502244949341},{"id":"https://openalex.org/keywords/basis","display_name":"Basis (linear algebra)","score":0.5834608674049377},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5566349625587463},{"id":"https://openalex.org/keywords/state","display_name":"State (computer science)","score":0.4563312232494354},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.45096921920776367},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.42226406931877136},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.41087794303894043},{"id":"https://openalex.org/keywords/compressed-sensing","display_name":"Compressed sensing","score":0.38977110385894775},{"id":"https://openalex.org/keywords/matching-pursuit","display_name":"Matching pursuit","score":0.33840373158454895},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.31366240978240967},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.20121368765830994}],"concepts":[{"id":"https://openalex.org/C99217422","wikidata":"https://www.wikidata.org/wiki/Q4867576","display_name":"Basis pursuit","level":4,"score":0.8343694806098938},{"id":"https://openalex.org/C124066611","wikidata":"https://www.wikidata.org/wiki/Q28684319","display_name":"Sparse approximation","level":2,"score":0.7347606420516968},{"id":"https://openalex.org/C2778029271","wikidata":"https://www.wikidata.org/wiki/Q5421931","display_name":"Extension (predicate logic)","level":2,"score":0.7207985520362854},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6010075807571411},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.6008502244949341},{"id":"https://openalex.org/C12426560","wikidata":"https://www.wikidata.org/wiki/Q189569","display_name":"Basis (linear algebra)","level":2,"score":0.5834608674049377},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5566349625587463},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.4563312232494354},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.45096921920776367},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.42226406931877136},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.41087794303894043},{"id":"https://openalex.org/C124851039","wikidata":"https://www.wikidata.org/wiki/Q2665459","display_name":"Compressed sensing","level":2,"score":0.38977110385894775},{"id":"https://openalex.org/C156872377","wikidata":"https://www.wikidata.org/wiki/Q6786281","display_name":"Matching pursuit","level":3,"score":0.33840373158454895},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.31366240978240967},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.20121368765830994},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp.2017.7952871","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2017.7952871","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.7200000286102295}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W609009071","https://openalex.org/W1492103838","https://openalex.org/W1591116419","https://openalex.org/W2002663556","https://openalex.org/W2029740707","https://openalex.org/W2046658845","https://openalex.org/W2047928014","https://openalex.org/W2078204800","https://openalex.org/W2099100030","https://openalex.org/W2099641086","https://openalex.org/W2118682956","https://openalex.org/W2119667497","https://openalex.org/W2127271355","https://openalex.org/W2128659236","https://openalex.org/W2135046866","https://openalex.org/W2145096794","https://openalex.org/W2151693816","https://openalex.org/W2160979406","https://openalex.org/W2164656607","https://openalex.org/W2289917018","https://openalex.org/W2296616510","https://openalex.org/W2404368457","https://openalex.org/W4235713725","https://openalex.org/W4250955649","https://openalex.org/W6618616035","https://openalex.org/W6679470320"],"related_works":["https://openalex.org/W2436826437","https://openalex.org/W2169904627","https://openalex.org/W2388133936","https://openalex.org/W2371951202","https://openalex.org/W2340242818","https://openalex.org/W4385694579","https://openalex.org/W2103001330","https://openalex.org/W3048558715","https://openalex.org/W4319793311","https://openalex.org/W2465351041"],"abstract_inverted_index":{"ProSparse":[0,29,88,102],"is":[1,30],"a":[2,48,70,107],"Prony's":[3],"based":[4],"method":[5],"that":[6],"solves":[7],"the":[8,15,24,27,37,58,81,87,92],"sparse":[9,34],"representation":[10],"problem":[11],"of":[12,17,26,40,51,60,83,110],"signals":[13,35],"in":[14,77],"union":[16,59],"Fourier":[18],"and":[19],"canonical":[20],"bases.":[21,62],"By":[22],"exploiting":[23],"structure":[25],"dictionary,":[28],"able":[31],"to":[32,91],"reconstruct":[33],"beyond":[36],"recovery":[38],"bound":[39],"Basis":[41,75],"Pursuit.":[42],"We":[43],"generalize":[44],"this":[45],"framework":[46],"for":[47],"broader":[49],"class":[50],"dictionaries":[52,94],"which":[53],"are":[54],"still":[55],"formed":[56],"from":[57],"two":[61],"The":[63,100],"proposed":[64,112],"algorithm":[65,90],"achieves":[66],"perfect":[67],"reconstruction":[68],"over":[69],"lower":[71],"sparsity":[72],"level":[73],"than":[74],"Pursuit":[76],"noiseless":[78],"cases.":[79],"In":[80],"presence":[82],"noise,":[84],"we":[85],"extend":[86],"Denoise":[89],"generalized":[93],"by":[95],"considering":[96],"their":[97],"intrinsic":[98],"structure.":[99],"original":[101],"can":[103],"be":[104],"viewed":[105],"as":[106],"special":[108],"case":[109],"our":[111,117],"algorithm.":[113],"From":[114],"simulation":[115],"results,":[116],"approach":[118],"outperforms":[119],"state-of-the-art":[120],"algorithms.":[121]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}