{"id":"https://openalex.org/W2103674433","doi":"https://doi.org/10.1109/tsa.2003.818111","title":"Lossless compression of digital audio using cascaded RLS-LMS prediction","display_name":"Lossless compression of digital audio using cascaded RLS-LMS prediction","publication_year":2003,"publication_date":"2003-11-01","ids":{"openalex":"https://openalex.org/W2103674433","doi":"https://doi.org/10.1109/tsa.2003.818111","mag":"2103674433"},"language":"en","primary_location":{"id":"doi:10.1109/tsa.2003.818111","doi":"https://doi.org/10.1109/tsa.2003.818111","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsa.2003.818111","pdf_url":null,"source":{"id":"https://openalex.org/S202446260","display_name":"IEEE Transactions on Speech and Audio Processing","issn_l":"1063-6676","issn":["1063-6676","1558-2353"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-scientific","cwts-core"],"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Speech and Audio Processing","raw_type":"journal-article"},"parent_works":[],"lineage":["https://openalex.org/W2103674433"],"child_works_count":0,"type":"article","is_traditional":true,"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/A5068270780","display_name":"Rongshan Yu","orcid":"https://orcid.org/0000-0003-2179-173X","observed_orcids":["https://orcid.org/0000-0003-2179-173X"]},"institutions":[{"id":"https://openalex.org/I115228651","display_name":"Agency for Science, Technology and Research","ror":"https://ror.org/036wvzt09","country_code":"SG","type":"government","lineage":["https://openalex.org/I115228651"]},{"id":"https://openalex.org/I3005327000","display_name":"Institute for Infocomm Research","ror":"https://ror.org/053rfa017","country_code":"SG","type":"facility","lineage":["https://openalex.org/I115228651","https://openalex.org/I3005327000","https://openalex.org/I91275662"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Rongshan Yu","raw_affiliation_strings":["Institute for Infocomm Research, Agency for Science, Technology and Research, Singapore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute for Infocomm Research, Agency for Science, Technology and Research, Singapore","institution_ids":["https://openalex.org/I115228651","https://openalex.org/I3005327000"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102480245","display_name":"Chi Chung Ko","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I165932596","display_name":"National University of Singapore","ror":"https://ror.org/01tgyzw49","country_code":"SG","type":"education","lineage":["https://openalex.org/I165932596"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Chi Chung Ko","raw_affiliation_strings":["Department of Electrical and Computer Engineering, National University of Singapore, Singapore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, National University of Singapore, Singapore","institution_ids":["https://openalex.org/I165932596"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.1712,"has_fulltext":false,"cited_by_count":32,"citation_normalized_percentile":{"value":0.80480135,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":87,"max":98},"biblio":{"volume":"11","issue":"6","first_page":"532","last_page":"537"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10901","display_name":"Advanced Data Compression Techniques","score":0.6606000065803528,"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/T10901","display_name":"Advanced Data Compression Techniques","score":0.6606000065803528,"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/T10860","display_name":"Speech and Audio Processing","score":0.19140000641345978,"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"}},{"id":"https://openalex.org/T11034","display_name":"Digital Filter Design and Implementation","score":0.06260000169277191,"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/lossless-audio-coding","display_name":"lossless audio coding","score":0.8690000176429749},{"id":"https://openalex.org/keywords/recursive-least-squares","display_name":"recursive least squares","score":0.6710000038146973},{"id":"https://openalex.org/keywords/lms-algorithm","display_name":"LMS algorithm","score":0.8659999966621399},{"id":"https://openalex.org/keywords/adaptive-forecasting","display_name":"adaptive prediction","score":0.503000020980835},{"id":"https://openalex.org/keywords/slow-convergence","display_name":"slow convergence","score":0.6600000262260437},{"id":"https://openalex.org/keywords/prediction-gain","display_name":"prediction gain","score":0.8809999823570251}],"concepts":[{"id":"https://openalex.org/C81081738","wikidata":"https://www.wikidata.org/wiki/Q55542","display_name":"Lossless compression","level":3,"score":0.6814495921134949},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6235055923461914},{"id":"https://openalex.org/C32617633","wikidata":"https://www.wikidata.org/wiki/Q1426666","display_name":"Least mean squares filter","level":3,"score":0.5783930420875549},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.569672167301178},{"id":"https://openalex.org/C131109320","wikidata":"https://www.wikidata.org/wiki/Q581012","display_name":"Linear prediction","level":2,"score":0.5435497760772705},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.5395234823226929},{"id":"https://openalex.org/C13895895","wikidata":"https://www.wikidata.org/wiki/Q3270773","display_name":"Speech coding","level":2,"score":0.4881754517555237},{"id":"https://openalex.org/C64922751","wikidata":"https://www.wikidata.org/wiki/Q4650799","display_name":"Audio signal","level":3,"score":0.4599235951900482},{"id":"https://openalex.org/C59883199","wikidata":"https://www.wikidata.org/wiki/Q1826438","display_name":"Linear predictive coding","level":3,"score":0.45325878262519836},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.42641210556030273},{"id":"https://openalex.org/C102248274","wikidata":"https://www.wikidata.org/wiki/Q168388","display_name":"Adaptive filter","level":2,"score":0.39952608942985535},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.3634493947029114},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tsa.2003.818111","doi":"https://doi.org/10.1109/tsa.2003.818111","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsa.2003.818111","pdf_url":null,"source":{"id":"https://openalex.org/S202446260","display_name":"IEEE Transactions on Speech and Audio Processing","issn_l":"1063-6676","issn":["1063-6676","1558-2353"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-scientific","cwts-core"],"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Speech and Audio Processing","raw_type":"journal-article"},{"id":"pmh:oai:scholarbank.nus.edu.sg:10635/56522","doi":null,"is_oa":false,"landing_page_url":"http://scholarbank.nus.edu.sg/handle/10635/56522","pdf_url":null,"source":{"id":"https://openalex.org/S7407052290","display_name":"National University of Singapore","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Scopus","raw_type":"Article"}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W125854789","https://openalex.org/W788498898","https://openalex.org/W1535857009","https://openalex.org/W1958725268","https://openalex.org/W1976011531","https://openalex.org/W1999542175","https://openalex.org/W2012315192","https://openalex.org/W2038085771","https://openalex.org/W2046672140","https://openalex.org/W2058097301","https://openalex.org/W2082967074","https://openalex.org/W2115613939","https://openalex.org/W2132119275","https://openalex.org/W2135681518","https://openalex.org/W2152707162","https://openalex.org/W2160245447"],"related_works":["https://openalex.org/W7100969052","https://openalex.org/W1549583344","https://openalex.org/W2528651171","https://openalex.org/W2155954808","https://openalex.org/W3013437132","https://openalex.org/W1560660977","https://openalex.org/W2149902120","https://openalex.org/W2160245447","https://openalex.org/W1703292843","https://openalex.org/W1913948768"],"abstract_inverted_index":{"This":[0,71],"paper":[1],"proposes":[2],"a":[3,15,51,99],"cascaded":[4,56,72],"RLS-LMS":[5,73],"predictor":[6,18,54,61],"for":[7,33],"lossless":[8],"audio":[9,31,69],"coding.":[10],"In":[11],"this":[12],"proposed":[13],"predictor,":[14,96],"high-order":[16],"LMS":[17,46,60,83,95],"is":[19,55],"employed":[20],"to":[21,58,62],"model":[22],"the":[23,30,40,45,59,64,68,77,82,93],"ample":[24],"tonal":[25],"and":[26,85],"harmonic":[27],"components":[28],"of":[29,44,67,81],"signal":[32],"optimal":[34],"prediction":[35,88],"gain":[36,89],"performance.":[37,103],"To":[38],"solve":[39],"slow":[41,78],"convergence":[42,79],"problem":[43,80],"algorithm":[47,84],"with":[48,92],"colored":[49],"inputs,":[50],"low-order":[52],"RLS":[53],"prior":[57],"remove":[63],"spectral":[65],"tilt":[66],"signal.":[70],"structure":[74],"effectively":[75],"mitigates":[76],"provides":[86],"superior":[87],"performance":[90],"compared":[91],"conventional":[94],"resulting":[97],"in":[98],"better":[100],"overall":[101],"compression":[102]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":2},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":2}],"updated_date":"2026-10-16T09:59:22.235173","created_date":"2016-06-24T00:00:00"}
