{"id":"https://openalex.org/W4401752114","doi":"https://doi.org/10.1109/spcom60851.2024.10631653","title":"Method of Alternating Proximations for Solving Linear Inverse Problems","display_name":"Method of Alternating Proximations for Solving Linear Inverse Problems","publication_year":2024,"publication_date":"2024-07-01","ids":{"openalex":"https://openalex.org/W4401752114","doi":"https://doi.org/10.1109/spcom60851.2024.10631653"},"language":"en","primary_location":{"id":"doi:10.1109/spcom60851.2024.10631653","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/spcom60851.2024.10631653","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 International Conference on Signal Processing and Communications (SPCOM)","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/A5066794666","display_name":"Abijith Jagannath Kamath","orcid":"https://orcid.org/0000-0002-1608-5550"},"institutions":[{"id":"https://openalex.org/I59270414","display_name":"Indian Institute of Science Bangalore","ror":"https://ror.org/04dese585","country_code":"IN","type":"education","lineage":["https://openalex.org/I59270414"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Abijith Jagannath Kamath","raw_affiliation_strings":["Indian Institute of Science,Department of Electrical Engineering,Bengaluru,India,560 012"],"affiliations":[{"raw_affiliation_string":"Indian Institute of Science,Department of Electrical Engineering,Bengaluru,India,560 012","institution_ids":["https://openalex.org/I59270414"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102596885","display_name":"Nareddy Kartheek Kumar Reddy","orcid":null},"institutions":[{"id":"https://openalex.org/I59270414","display_name":"Indian Institute of Science Bangalore","ror":"https://ror.org/04dese585","country_code":"IN","type":"education","lineage":["https://openalex.org/I59270414"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Nareddy Kartheek Kumar Reddy","raw_affiliation_strings":["Indian Institute of Science,Department of Electrical Engineering,Bengaluru,India,560 012"],"affiliations":[{"raw_affiliation_string":"Indian Institute of Science,Department of Electrical Engineering,Bengaluru,India,560 012","institution_ids":["https://openalex.org/I59270414"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5005652970","display_name":"Chandra Sekhar Seelamantula","orcid":"https://orcid.org/0000-0001-9049-1912"},"institutions":[{"id":"https://openalex.org/I59270414","display_name":"Indian Institute of Science Bangalore","ror":"https://ror.org/04dese585","country_code":"IN","type":"education","lineage":["https://openalex.org/I59270414"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Chandra Sekhar Seelamantula","raw_affiliation_strings":["Indian Institute of Science,Department of Electrical Engineering,Bengaluru,India,560 012"],"affiliations":[{"raw_affiliation_string":"Indian Institute of Science,Department of Electrical Engineering,Bengaluru,India,560 012","institution_ids":["https://openalex.org/I59270414"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5066794666"],"corresponding_institution_ids":["https://openalex.org/I59270414"],"apc_list":null,"apc_paid":null,"fwci":0.9335,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.70054395,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":"151","issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11205","display_name":"Numerical methods in inverse problems","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/2610","display_name":"Mathematical Physics"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11205","display_name":"Numerical methods in inverse problems","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/2610","display_name":"Mathematical Physics"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9929999709129333,"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/T12661","display_name":"Iterative Methods for Nonlinear Equations","score":0.9918000102043152,"subfield":{"id":"https://openalex.org/subfields/2612","display_name":"Numerical Analysis"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/inverse","display_name":"Inverse","score":0.5699893832206726},{"id":"https://openalex.org/keywords/inverse-problem","display_name":"Inverse problem","score":0.5288708806037903},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.48284798860549927},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.41339853405952454},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.306866317987442},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.2139034867286682},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.0847851037979126}],"concepts":[{"id":"https://openalex.org/C207467116","wikidata":"https://www.wikidata.org/wiki/Q4385666","display_name":"Inverse","level":2,"score":0.5699893832206726},{"id":"https://openalex.org/C135252773","wikidata":"https://www.wikidata.org/wiki/Q1567213","display_name":"Inverse problem","level":2,"score":0.5288708806037903},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.48284798860549927},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.41339853405952454},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.306866317987442},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.2139034867286682},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0847851037979126}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/spcom60851.2024.10631653","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/spcom60851.2024.10631653","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 International Conference on Signal Processing and Communications (SPCOM)","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":47,"referenced_works":["https://openalex.org/W250076511","https://openalex.org/W627440691","https://openalex.org/W1998991750","https://openalex.org/W2048364349","https://openalex.org/W2087416986","https://openalex.org/W2092663520","https://openalex.org/W2095036901","https://openalex.org/W2100522270","https://openalex.org/W2103559027","https://openalex.org/W2103955025","https://openalex.org/W2108198948","https://openalex.org/W2110505738","https://openalex.org/W2114423093","https://openalex.org/W2115706991","https://openalex.org/W2118682956","https://openalex.org/W2119667497","https://openalex.org/W2145096794","https://openalex.org/W2158537680","https://openalex.org/W2478114083","https://openalex.org/W2508457857","https://openalex.org/W2573726823","https://openalex.org/W2741137940","https://openalex.org/W2763081248","https://openalex.org/W2798190016","https://openalex.org/W2798559986","https://openalex.org/W2807297697","https://openalex.org/W2952020389","https://openalex.org/W2963299521","https://openalex.org/W3035383480","https://openalex.org/W3047002475","https://openalex.org/W3118064383","https://openalex.org/W3207756131","https://openalex.org/W4229650096","https://openalex.org/W4232936225","https://openalex.org/W4244393449","https://openalex.org/W4250589301","https://openalex.org/W4250955649","https://openalex.org/W4287691839","https://openalex.org/W4385938192","https://openalex.org/W4390977353","https://openalex.org/W4400740162","https://openalex.org/W6605806197","https://openalex.org/W6636723946","https://openalex.org/W6676309681","https://openalex.org/W6746466744","https://openalex.org/W6752308509","https://openalex.org/W6781791068"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W4391375266","https://openalex.org/W1979597421","https://openalex.org/W2007980826","https://openalex.org/W2061531152","https://openalex.org/W3002753104","https://openalex.org/W2077600819","https://openalex.org/W2142036596","https://openalex.org/W2331917905","https://openalex.org/W3155039083"],"abstract_inverted_index":{"SignaVimage":[0],"reconstruction":[1],"problems":[2,9,74],"are":[3],"typically":[4],"posed":[5],"as":[6,91],"linear":[7,72],"inverse":[8,73],"with":[10],"the":[11,36,46,49,64,67,84,88,94,130],"objective":[12],"of":[13,31,41,48,66,86,99],"minimizing":[14],"a":[15,21,26,60],"least-squares":[16],"(LS)":[17],"loss":[18,51,69],"function":[19,52],"and":[20,38,75,104,112,120],"regularization":[22],"term":[23],"derived":[24],"from":[25],"suitable":[27],"prior.":[28],"Several":[29],"decades":[30],"work":[32],"have":[33],"gone":[34],"into":[35],"design":[37,47,65],"efficient":[39],"application":[40],"various":[42,131],"penalty":[43],"functions,":[44],"whilst":[45],"data-fidelity":[50,68],"has":[53],"remained":[54],"relatively":[55],"unexplored.":[56],"This":[57],"paper":[58],"proposes":[59],"distance-minimization":[61],"approach":[62],"to":[63,93],"for":[70,79,129],"solving":[71,80,108],"discusses":[76],"proximal":[77],"algorithms":[78],"them.":[81],"We":[82,106],"discuss":[83],"implications":[85],"using":[87],"proposed":[89],"formulation":[90],"opposed":[92],"standard":[95,127],"LS":[96,128],"in":[97,116],"terms":[98],"its":[100],"effect":[101],"on":[102],"noise":[103],"convergence.":[105],"consider":[107],"sparse":[109],"signal":[110],"recovery":[111],"image":[113,118],"restoration":[114],"tasks,":[115],"particular,":[117],"deblurring,":[119],"show":[121],"that":[122],"distance":[123],"minimization":[124],"techniques":[125],"out-perform":[126],"models":[132],"under":[133],"consideration.":[134]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-12-21T01:58:51.020947","created_date":"2025-10-10T00:00:00"}
