{"id":"https://openalex.org/W2167494262","doi":"https://doi.org/10.1109/icassp.2009.4960006","title":"Forward adaptive KLT coding","display_name":"Forward adaptive KLT coding","publication_year":2009,"publication_date":"2009-04-01","ids":{"openalex":"https://openalex.org/W2167494262","doi":"https://doi.org/10.1109/icassp.2009.4960006","mag":"2167494262"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2009.4960006","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2009.4960006","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 IEEE International Conference on Acoustics, Speech and Signal Processing","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/A5003994559","display_name":"C.E. Davila","orcid":"https://orcid.org/0000-0002-8901-8922"},"institutions":[{"id":"https://openalex.org/I178169726","display_name":"Southern Methodist University","ror":"https://ror.org/042tdr378","country_code":"US","type":"education","lineage":["https://openalex.org/I178169726"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Carlos E. Davila","raw_affiliation_strings":["Electrical Engineering Department, Southern Methodist University, Dallas, TX, USA"],"affiliations":[{"raw_affiliation_string":"Electrical Engineering Department, Southern Methodist University, Dallas, TX, USA","institution_ids":["https://openalex.org/I178169726"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5003994559"],"corresponding_institution_ids":["https://openalex.org/I178169726"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.20798468,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"2005","last_page":"2008"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9995999932289124,"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"}},"topics":[{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9995999932289124,"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/T11233","display_name":"Advanced Adaptive Filtering Techniques","score":0.9988999962806702,"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":0.9987999796867371,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/karhunen\u2013lo\u00e8ve-theorem","display_name":"Karhunen\u2013Lo\u00e8ve theorem","score":0.819083571434021},{"id":"https://openalex.org/keywords/basis","display_name":"Basis (linear algebra)","score":0.5961993932723999},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.5682361125946045},{"id":"https://openalex.org/keywords/eigenvalues-and-eigenvectors","display_name":"Eigenvalues and eigenvectors","score":0.5562974214553833},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5485225915908813},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5381947159767151},{"id":"https://openalex.org/keywords/transform-coding","display_name":"Transform coding","score":0.48203837871551514},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4091624617576599},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.37725386023521423},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.33672499656677246},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.14337816834449768},{"id":"https://openalex.org/keywords/discrete-cosine-transform","display_name":"Discrete cosine transform","score":0.12647774815559387},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.10580745339393616},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.058711469173431396}],"concepts":[{"id":"https://openalex.org/C109308471","wikidata":"https://www.wikidata.org/wiki/Q2046647","display_name":"Karhunen\u2013Lo\u00e8ve theorem","level":2,"score":0.819083571434021},{"id":"https://openalex.org/C12426560","wikidata":"https://www.wikidata.org/wiki/Q189569","display_name":"Basis (linear algebra)","level":2,"score":0.5961993932723999},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.5682361125946045},{"id":"https://openalex.org/C158693339","wikidata":"https://www.wikidata.org/wiki/Q190524","display_name":"Eigenvalues and eigenvectors","level":2,"score":0.5562974214553833},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5485225915908813},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5381947159767151},{"id":"https://openalex.org/C169805256","wikidata":"https://www.wikidata.org/wiki/Q1361381","display_name":"Transform coding","level":4,"score":0.48203837871551514},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4091624617576599},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.37725386023521423},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.33672499656677246},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.14337816834449768},{"id":"https://openalex.org/C2221639","wikidata":"https://www.wikidata.org/wiki/Q2877","display_name":"Discrete cosine transform","level":3,"score":0.12647774815559387},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.10580745339393616},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.058711469173431396},{"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/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.2009.4960006","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2009.4960006","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 IEEE International Conference on Acoustics, Speech and Signal Processing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","score":0.9100000262260437,"id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1985978629","https://openalex.org/W1997422357","https://openalex.org/W2038354127","https://openalex.org/W2050174246","https://openalex.org/W2066624117","https://openalex.org/W2109015378","https://openalex.org/W2127045331","https://openalex.org/W2130283017","https://openalex.org/W2155975315","https://openalex.org/W2158138391","https://openalex.org/W2318205745","https://openalex.org/W2798909945","https://openalex.org/W3029645440","https://openalex.org/W4294571370","https://openalex.org/W4301014524"],"related_works":["https://openalex.org/W1977570076","https://openalex.org/W2005892337","https://openalex.org/W2168652241","https://openalex.org/W2093183275","https://openalex.org/W2076354258","https://openalex.org/W2953035947","https://openalex.org/W2022465664","https://openalex.org/W2107474339","https://openalex.org/W2144912679","https://openalex.org/W3021757444"],"abstract_inverted_index":{"A":[0],"framework":[1],"for":[2],"implementing":[3],"the":[4,25,40,48,58],"forward":[5],"adaptive":[6,14,42],"Karhunen-Loeve":[7],"Transform":[8],"(FAKLT)":[9],"is":[10],"described.":[11],"Unlike":[12],"backward":[13,41],"methods,":[15],"FAKLT":[16],"computes":[17],"transform":[18],"coefficients":[19,50],"using":[20],"basis":[21,60],"vectors":[22,61],"derived":[23],"from":[24],"most":[26],"recent":[27],"signal":[28],"frame.":[29],"As":[30],"a":[31,52],"result,":[32],"it":[33],"exhibits":[34],"improved":[35],"energy":[36],"compaction":[37],"compared":[38],"to":[39],"KLT.":[43],"The":[44],"method":[45],"encodes":[46],"only":[47],"KLT":[49,59],"and":[51],"small":[53],"amount":[54],"of":[55],"side":[56],"information,":[57],"(eigenvectors)":[62],"are":[63],"not":[64],"encoded.":[65]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
