{"id":"https://openalex.org/W2111392498","doi":"https://doi.org/10.1109/isspa.2007.4555342","title":"Wobbled synthetic discriminant function classification","display_name":"Wobbled synthetic discriminant function classification","publication_year":2007,"publication_date":"2007-02-01","ids":{"openalex":"https://openalex.org/W2111392498","doi":"https://doi.org/10.1109/isspa.2007.4555342","mag":"2111392498"},"language":"en","primary_location":{"id":"doi:10.1109/isspa.2007.4555342","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isspa.2007.4555342","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2007 9th International Symposium on Signal Processing and Its Applications","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/A5000813573","display_name":"Chye-Hwa Loo","orcid":null},"institutions":[{"id":"https://openalex.org/I368840534","display_name":"University of Mississippi","ror":"https://ror.org/02teq1165","country_code":"US","type":"education","lineage":["https://openalex.org/I368840534","https://openalex.org/I4210141039"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Chye-Hwa Loo","raw_affiliation_strings":["Center of Applied Electromagnetic Systems Research Electrical Engineering Department, University of Mississippi, MS, USA","Electr. Eng. Dept., Univ. of Mississippi, Oxford, MS"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Center of Applied Electromagnetic Systems Research Electrical Engineering Department, University of Mississippi, MS, USA","institution_ids":["https://openalex.org/I368840534"]},{"raw_affiliation_string":"Electr. Eng. Dept., Univ. of Mississippi, Oxford, MS","institution_ids":["https://openalex.org/I368840534"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5059087121","display_name":"Atef Z. Elsherbeni","orcid":"https://orcid.org/0000-0002-8657-937X"},"institutions":[{"id":"https://openalex.org/I368840534","display_name":"University of Mississippi","ror":"https://ror.org/02teq1165","country_code":"US","type":"education","lineage":["https://openalex.org/I368840534","https://openalex.org/I4210141039"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Atef Elsherbeni","raw_affiliation_strings":["Center of Applied Electromagnetic Systems Research Electrical Engineering Department, University of Mississippi, MS, USA","Electr. Eng. Dept., Univ. of Mississippi, Oxford, MS"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Center of Applied Electromagnetic Systems Research Electrical Engineering Department, University of Mississippi, MS, USA","institution_ids":["https://openalex.org/I368840534"]},{"raw_affiliation_string":"Electr. Eng. Dept., Univ. of Mississippi, Oxford, MS","institution_ids":["https://openalex.org/I368840534"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I368840534"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.20071268,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"33","issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11408","display_name":"Advanced Optical Imaging Technologies","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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/T11408","display_name":"Advanced Optical Imaging Technologies","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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/T13579","display_name":"Image and Video Stabilization","score":0.9966999888420105,"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/T13114","display_name":"Image Processing Techniques and Applications","score":0.9962000250816345,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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":0.72999107837677},{"id":"https://openalex.org/keywords/invariant","display_name":"Invariant (physics)","score":0.7038028240203857},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6956676244735718},{"id":"https://openalex.org/keywords/discriminant","display_name":"Discriminant","score":0.6810166239738464},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5917446613311768},{"id":"https://openalex.org/keywords/cognitive-neuroscience-of-visual-object-recognition","display_name":"Cognitive neuroscience of visual object recognition","score":0.5511656403541565},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.5441566109657288},{"id":"https://openalex.org/keywords/distortion","display_name":"Distortion (music)","score":0.5037955641746521},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.47961199283599854},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.4650949239730835},{"id":"https://openalex.org/keywords/linear-discriminant-analysis","display_name":"Linear discriminant analysis","score":0.43846678733825684},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4287380874156952},{"id":"https://openalex.org/keywords/matched-filter","display_name":"Matched filter","score":0.4262329638004303},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.39539656043052673},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.27790701389312744},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.26226353645324707},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.17010006308555603},{"id":"https://openalex.org/keywords/bandwidth","display_name":"Bandwidth (computing)","score":0.09458079934120178}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.72999107837677},{"id":"https://openalex.org/C190470478","wikidata":"https://www.wikidata.org/wiki/Q2370229","display_name":"Invariant (physics)","level":2,"score":0.7038028240203857},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6956676244735718},{"id":"https://openalex.org/C78397625","wikidata":"https://www.wikidata.org/wiki/Q192487","display_name":"Discriminant","level":2,"score":0.6810166239738464},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5917446613311768},{"id":"https://openalex.org/C64876066","wikidata":"https://www.wikidata.org/wiki/Q5141226","display_name":"Cognitive neuroscience of visual object recognition","level":3,"score":0.5511656403541565},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.5441566109657288},{"id":"https://openalex.org/C126780896","wikidata":"https://www.wikidata.org/wiki/Q899871","display_name":"Distortion (music)","level":4,"score":0.5037955641746521},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.47961199283599854},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.4650949239730835},{"id":"https://openalex.org/C69738355","wikidata":"https://www.wikidata.org/wiki/Q1228929","display_name":"Linear discriminant analysis","level":2,"score":0.43846678733825684},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4287380874156952},{"id":"https://openalex.org/C50151734","wikidata":"https://www.wikidata.org/wiki/Q1759577","display_name":"Matched filter","level":3,"score":0.4262329638004303},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.39539656043052673},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.27790701389312744},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.26226353645324707},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.17010006308555603},{"id":"https://openalex.org/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.09458079934120178},{"id":"https://openalex.org/C37914503","wikidata":"https://www.wikidata.org/wiki/Q156495","display_name":"Mathematical physics","level":1,"score":0.0},{"id":"https://openalex.org/C194257627","wikidata":"https://www.wikidata.org/wiki/Q211554","display_name":"Amplifier","level":3,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isspa.2007.4555342","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isspa.2007.4555342","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2007 9th International Symposium on Signal Processing and Its Applications","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.7400000095367432}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":7,"referenced_works":["https://openalex.org/W1603829220","https://openalex.org/W1634997386","https://openalex.org/W2072713557","https://openalex.org/W2132065020","https://openalex.org/W2138515128","https://openalex.org/W2141680953","https://openalex.org/W6635964611"],"related_works":["https://openalex.org/W2350751952","https://openalex.org/W2362114017","https://openalex.org/W1999647744","https://openalex.org/W3147024994","https://openalex.org/W2063246903","https://openalex.org/W2374055396","https://openalex.org/W1978302214","https://openalex.org/W2021817983","https://openalex.org/W3008559849","https://openalex.org/W2371177901"],"abstract_inverted_index":{"The":[0,21,59,86],"task":[1],"of":[2,31,71,80,96,136,143],"object":[3,43],"classification":[4,26,44,61,107,142],"is":[5,38,89,109,115],"complicated":[6],"by":[7,121],"variations":[8],"in":[9,18,77,119,140],"the":[10,78,97,126,134,137,141],"three-dimensional":[11],"(3D)":[12],"object,":[13],"which":[14],"translate":[15],"into":[16],"distortions":[17],"2-D":[19],"images.":[20],"pattern":[22],"matching":[23],"for":[24,46],"invariance":[25],"requires":[27],"a":[28,68,103],"large":[29],"amount":[30],"data":[32],"and":[33,67,100,111,113],"computation":[34],"time.":[35],"Proposed":[36],"here":[37],"an":[39],"efficient":[40],"distortion":[41,81],"invariant":[42,82,145],"algorithm":[45],"real-time":[47,94,122],"fringe-adjusted":[48],"joint":[49],"transform":[50],"correlator":[51],"(FJTC)":[52],"based":[53],"automatic":[54],"target":[55],"recognition":[56,65],"(ATR)":[57],"system.":[58],"proposed":[60,138],"technique":[62],"employed":[63],"fragment-based":[64],"approach":[66],"new":[69],"type":[70],"synthetic":[72],"discriminant":[73],"function":[74],"(SDF)":[75],"filter":[76,84,98],"generation":[79],"correlation":[83,95],"sets.":[85],"optoelectronic":[87],"FJTC":[88],"then":[90],"used":[91],"to":[92,117,132,146],"provide":[93],"sets":[99],"input":[101],"under":[102],"proper":[104],"arrangement.":[105],"This":[106],"method":[108],"simple":[110],"fast":[112],"hence":[114],"relevant":[116],"be":[118],"use":[120],"ATR":[123],"systems.":[124],"As":[125],"conclusion,":[127],"simulation":[128],"results":[129],"are":[130],"provided":[131],"prove":[133],"effectiveness":[135],"system":[139],"objects":[144],"various":[147],"distortions.":[148]},"counts_by_year":[],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}
