{"id":"https://openalex.org/W2786768646","doi":"https://doi.org/10.1109/apsipa.2017.8282330","title":"Millimeter wave radar image denoising with complex nonseparable oversampled lapped transform","display_name":"Millimeter wave radar image denoising with complex nonseparable oversampled lapped transform","publication_year":2017,"publication_date":"2017-12-01","ids":{"openalex":"https://openalex.org/W2786768646","doi":"https://doi.org/10.1109/apsipa.2017.8282330","mag":"2786768646"},"language":"en","primary_location":{"id":"doi:10.1109/apsipa.2017.8282330","is_oa":false,"landing_page_url":"https://doi.org/10.1109/apsipa.2017.8282330","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC)","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/A5013046400","display_name":"Satoshi Nagayama","orcid":null},"institutions":[{"id":"https://openalex.org/I71395657","display_name":"Niigata University","ror":"https://ror.org/04ww21r56","country_code":"JP","type":"education","lineage":["https://openalex.org/I71395657"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Satoshi Nagayama","raw_affiliation_strings":["Graduate School of Science and Technology, Niigata Univ, Niigata, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate School of Science and Technology, Niigata Univ, Niigata, Japan","institution_ids":["https://openalex.org/I71395657"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070966533","display_name":"Shogo Muramatsu","orcid":"https://orcid.org/0000-0002-2990-1238"},"institutions":[{"id":"https://openalex.org/I71395657","display_name":"Niigata University","ror":"https://ror.org/04ww21r56","country_code":"JP","type":"education","lineage":["https://openalex.org/I71395657"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Shogo Muramatsu","raw_affiliation_strings":["Faculty of Engineering, Niigata Univ, Niigata, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Engineering, Niigata Univ, Niigata, Japan","institution_ids":["https://openalex.org/I71395657"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051385242","display_name":"Hiroyoshi Yamada","orcid":"https://orcid.org/0000-0002-8861-7229"},"institutions":[{"id":"https://openalex.org/I71395657","display_name":"Niigata University","ror":"https://ror.org/04ww21r56","country_code":"JP","type":"education","lineage":["https://openalex.org/I71395657"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Hiroyoshi Yamada","raw_affiliation_strings":["Faculty of Engineering, Niigata Univ, Niigata, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Engineering, Niigata Univ, Niigata, Japan","institution_ids":["https://openalex.org/I71395657"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5009693100","display_name":"Yuuichi Sugiyama","orcid":null},"institutions":[{"id":"https://openalex.org/I4210092470","display_name":"Fujitsu Ten (Japan)","ror":"https://ror.org/00jjgc591","country_code":"JP","type":"company","lineage":["https://openalex.org/I4210092470"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yuuichi Sugiyama","raw_affiliation_strings":["FUJITSU TEN LIMITED, Hyogo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"FUJITSU TEN LIMITED, Hyogo, Japan","institution_ids":["https://openalex.org/I4210092470"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.438,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.6843968,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"9","issue":null,"first_page":"1824","last_page":"1829"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9998000264167786,"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":0.9998000264167786,"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/T12015","display_name":"Photoacoustic and Ultrasonic Imaging","score":0.9991000294685364,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.5325592756271362},{"id":"https://openalex.org/keywords/thresholding","display_name":"Thresholding","score":0.5267478823661804},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.48081982135772705},{"id":"https://openalex.org/keywords/image-fusion","display_name":"Image fusion","score":0.47233477234840393},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4705130457878113},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.46613165736198425},{"id":"https://openalex.org/keywords/radar-imaging","display_name":"Radar imaging","score":0.46183159947395325},{"id":"https://openalex.org/keywords/redundancy","display_name":"Redundancy (engineering)","score":0.4435752332210541},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.42235317826271057},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.3571273386478424},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.356594979763031},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3490779995918274},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.34656181931495667}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5325592756271362},{"id":"https://openalex.org/C191178318","wikidata":"https://www.wikidata.org/wiki/Q2256906","display_name":"Thresholding","level":3,"score":0.5267478823661804},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.48081982135772705},{"id":"https://openalex.org/C69744172","wikidata":"https://www.wikidata.org/wiki/Q860822","display_name":"Image fusion","level":3,"score":0.47233477234840393},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4705130457878113},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.46613165736198425},{"id":"https://openalex.org/C10929652","wikidata":"https://www.wikidata.org/wiki/Q7279985","display_name":"Radar imaging","level":3,"score":0.46183159947395325},{"id":"https://openalex.org/C152124472","wikidata":"https://www.wikidata.org/wiki/Q1204361","display_name":"Redundancy (engineering)","level":2,"score":0.4435752332210541},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.42235317826271057},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.3571273386478424},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.356594979763031},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3490779995918274},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.34656181931495667},{"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/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/apsipa.2017.8282330","is_oa":false,"landing_page_url":"https://doi.org/10.1109/apsipa.2017.8282330","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","score":0.7599999904632568,"display_name":"Sustainable cities and communities"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320315473","display_name":"Institute of Science and Technology Austria","ror":"https://ror.org/03gnh5541"},{"id":"https://openalex.org/F4320334764","display_name":"Japan Society for the Promotion of Science","ror":"https://ror.org/00hhkn466"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W639989723","https://openalex.org/W1481646516","https://openalex.org/W1524553959","https://openalex.org/W1574645113","https://openalex.org/W1584644048","https://openalex.org/W1591116419","https://openalex.org/W1650958574","https://openalex.org/W1871180460","https://openalex.org/W2045369486","https://openalex.org/W2058693698","https://openalex.org/W2073417610","https://openalex.org/W2100556411","https://openalex.org/W2103955025","https://openalex.org/W2108198948","https://openalex.org/W2118799423","https://openalex.org/W2138019504","https://openalex.org/W2138228305","https://openalex.org/W2158536343","https://openalex.org/W2164278908","https://openalex.org/W2171879908","https://openalex.org/W2516327642","https://openalex.org/W2516731600","https://openalex.org/W2547878593","https://openalex.org/W2558879954","https://openalex.org/W2755227136","https://openalex.org/W4211251910","https://openalex.org/W4235713725","https://openalex.org/W4254546220","https://openalex.org/W4292363360","https://openalex.org/W4300263211","https://openalex.org/W6628727242","https://openalex.org/W6676309681","https://openalex.org/W6683372921"],"related_works":["https://openalex.org/W1542224353","https://openalex.org/W1661087619","https://openalex.org/W2116854923","https://openalex.org/W2750730210","https://openalex.org/W2236974868","https://openalex.org/W4312766348","https://openalex.org/W4233939244","https://openalex.org/W2730764323","https://openalex.org/W3123806511","https://openalex.org/W2133587243"],"abstract_inverted_index":{"In":[0,82],"this":[1,83],"work,":[2,84],"we":[3,85],"propose":[4,86],"using":[5],"Complex":[6],"Nonseparable":[7,36],"Oversampled":[8,37],"Lapped":[9,38],"Transform":[10,39],"(CNSOLT)":[11],"as":[12,125],"a":[13,61,76,126],"sparse":[14],"representation":[15],"method":[16,90],"for":[17,100],"denoising":[18,109],"of":[19,33,67,110,121],"complex":[20,42,111,123],"radar":[21,112],"image.":[22],"CNSOLT":[23,92],"is":[24,29,57,72,106],"an":[25,30,87,94],"image":[26,88],"transform":[27],"which":[28],"extended":[31],"version":[32],"the":[34,41,117,122],"existing":[35],"to":[40,59,74],"number":[43],"field,":[44],"and":[45,51,70,93],"simultaneously":[46],"satisfies":[47],"non-separabe,":[48],"redundant,":[49],"linear-phase,":[50],"compact-support":[52],"property.":[53],"The":[54,103],"lattice":[55],"structure":[56],"able":[58],"constitute":[60],"Parseval":[62],"tight":[63],"frame":[64],"with":[65,78,119],"redundancy":[66],"rational":[68],"numbers,":[69],"it":[71],"possible":[73],"design":[75],"dictionary":[77],"directional":[79],"atomic":[80],"images.":[81,113],"restoration":[89],"combining":[91],"iterative":[95],"shrinkage/thresholding":[96],"algorithm":[97],"(ISTA)":[98],"modified":[99],"complex-valued":[101],"signals.":[102],"performance":[104,118],"evaluation":[105],"conducted":[107],"through":[108],"We":[114],"also":[115],"compare":[116],"that":[120],"K-SVD":[124],"reference":[127],"method.":[128]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}