{"id":"https://openalex.org/W2099931597","doi":"https://doi.org/10.1109/glocom.2004.1378032","title":"Approximation error analysis for transform-based lossless audio coding","display_name":"Approximation error analysis for transform-based lossless audio coding","publication_year":2004,"publication_date":"2004-01-01","ids":{"openalex":"https://openalex.org/W2099931597","doi":"https://doi.org/10.1109/glocom.2004.1378032","mag":"2099931597"},"language":"en","primary_location":{"id":"doi:10.1109/glocom.2004.1378032","is_oa":false,"landing_page_url":"https://doi.org/10.1109/glocom.2004.1378032","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Global Telecommunications Conference, 2004. GLOBECOM '04.","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/A5061102672","display_name":"Y. Yokotani","orcid":null},"institutions":[{"id":"https://openalex.org/I189196454","display_name":"The University of Texas at Arlington","ror":"https://ror.org/019kgqr73","country_code":"US","type":"education","lineage":["https://openalex.org/I189196454"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Y. Yokotani","raw_affiliation_strings":["Dept. of Electr. Eng., Texas Univ., Arlington, TX, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Electr. Eng., Texas Univ., Arlington, TX, USA","institution_ids":["https://openalex.org/I189196454"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026771130","display_name":"S. Oraintara","orcid":null},"institutions":[{"id":"https://openalex.org/I189196454","display_name":"The University of Texas at Arlington","ror":"https://ror.org/019kgqr73","country_code":"US","type":"education","lineage":["https://openalex.org/I189196454"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"S. Oraintara","raw_affiliation_strings":["Dept. of Electr. Eng., Texas Univ., Arlington, TX, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Electr. Eng., Texas Univ., Arlington, TX, USA","institution_ids":["https://openalex.org/I189196454"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043221616","display_name":"Ralf Geiger","orcid":"https://orcid.org/0000-0003-3689-1207"},"institutions":[{"id":"https://openalex.org/I4210138578","display_name":"Fraunhofer Institute for Digital Media Technology","ror":"https://ror.org/04gp0yb49","country_code":"DE","type":"facility","lineage":["https://openalex.org/I4210138578","https://openalex.org/I4923324"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"R. Geiger","raw_affiliation_strings":["Fraunhofer Institute for Digital Media Technology, Ilmenau, Germany","Fraunhofer - BY-TH-SN"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fraunhofer Institute for Digital Media Technology, Ilmenau, Germany","institution_ids":["https://openalex.org/I4210138578"]},{"raw_affiliation_string":"Fraunhofer - BY-TH-SN","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087435726","display_name":"Gerald Schuller","orcid":"https://orcid.org/0000-0003-0591-4365"},"institutions":[{"id":"https://openalex.org/I4210138578","display_name":"Fraunhofer Institute for Digital Media Technology","ror":"https://ror.org/04gp0yb49","country_code":"DE","type":"facility","lineage":["https://openalex.org/I4210138578","https://openalex.org/I4923324"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"G. Schuller","raw_affiliation_strings":["Fraunhofer Institute for Digital Media Technology, Ilmenau, Germany","Fraunhofer - BY-TH-SN"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fraunhofer Institute for Digital Media Technology, Ilmenau, Germany","institution_ids":["https://openalex.org/I4210138578"]},{"raw_affiliation_string":"Fraunhofer - BY-TH-SN","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5078861665","display_name":"K.R. Rao","orcid":"https://orcid.org/0000-0002-8513-3114"},"institutions":[{"id":"https://openalex.org/I189196454","display_name":"The University of Texas at Arlington","ror":"https://ror.org/019kgqr73","country_code":"US","type":"education","lineage":["https://openalex.org/I189196454"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"K.R. Rao","raw_affiliation_strings":["Electrical Engineering Department, University of Technology, Arlington, TX, USA","Department of Electrical Engineering"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Electrical Engineering Department, University of Technology, Arlington, TX, USA","institution_ids":["https://openalex.org/I189196454"]},{"raw_affiliation_string":"Department of Electrical Engineering","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.2719,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.60538048,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"2","issue":null,"first_page":"595","last_page":"599 Vol.2"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10901","display_name":"Advanced Data Compression Techniques","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/T10901","display_name":"Advanced Data Compression Techniques","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/T11034","display_name":"Digital Filter Design and Implementation","score":0.9994999766349792,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9972000122070312,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/transform-coding","display_name":"Transform coding","score":0.6452858448028564},{"id":"https://openalex.org/keywords/discrete-cosine-transform","display_name":"Discrete cosine transform","score":0.6318684816360474},{"id":"https://openalex.org/keywords/lossless-compression","display_name":"Lossless compression","score":0.6282430291175842},{"id":"https://openalex.org/keywords/rounding","display_name":"Rounding","score":0.5613265633583069},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5509167313575745},{"id":"https://openalex.org/keywords/lapped-transform","display_name":"Lapped transform","score":0.5283304452896118},{"id":"https://openalex.org/keywords/sub-band-coding","display_name":"Sub-band coding","score":0.5029451251029968},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4761607348918915},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.46012353897094727},{"id":"https://openalex.org/keywords/modified-discrete-cosine-transform","display_name":"Modified discrete cosine transform","score":0.4464268386363983},{"id":"https://openalex.org/keywords/coding-gain","display_name":"Coding gain","score":0.43611258268356323},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.33157509565353394},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.28628361225128174},{"id":"https://openalex.org/keywords/speech-coding","display_name":"Speech coding","score":0.2188378870487213},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.12533995509147644},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.12394005060195923}],"concepts":[{"id":"https://openalex.org/C169805256","wikidata":"https://www.wikidata.org/wiki/Q1361381","display_name":"Transform coding","level":4,"score":0.6452858448028564},{"id":"https://openalex.org/C2221639","wikidata":"https://www.wikidata.org/wiki/Q2877","display_name":"Discrete cosine transform","level":3,"score":0.6318684816360474},{"id":"https://openalex.org/C81081738","wikidata":"https://www.wikidata.org/wiki/Q55542","display_name":"Lossless compression","level":3,"score":0.6282430291175842},{"id":"https://openalex.org/C136625980","wikidata":"https://www.wikidata.org/wiki/Q663208","display_name":"Rounding","level":2,"score":0.5613265633583069},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5509167313575745},{"id":"https://openalex.org/C91458471","wikidata":"https://www.wikidata.org/wiki/Q17096468","display_name":"Lapped transform","level":5,"score":0.5283304452896118},{"id":"https://openalex.org/C98526533","wikidata":"https://www.wikidata.org/wiki/Q1691938","display_name":"Sub-band coding","level":3,"score":0.5029451251029968},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4761607348918915},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.46012353897094727},{"id":"https://openalex.org/C28726691","wikidata":"https://www.wikidata.org/wiki/Q1268231","display_name":"Modified discrete cosine transform","level":5,"score":0.4464268386363983},{"id":"https://openalex.org/C76862118","wikidata":"https://www.wikidata.org/wiki/Q1105671","display_name":"Coding gain","level":3,"score":0.43611258268356323},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.33157509565353394},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.28628361225128174},{"id":"https://openalex.org/C13895895","wikidata":"https://www.wikidata.org/wiki/Q3270773","display_name":"Speech coding","level":2,"score":0.2188378870487213},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.12533995509147644},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.12394005060195923},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/glocom.2004.1378032","is_oa":false,"landing_page_url":"https://doi.org/10.1109/glocom.2004.1378032","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Global Telecommunications Conference, 2004. GLOBECOM '04.","raw_type":"proceedings-article"},{"id":"pmh:oai:fraunhofer.de:N-36075","is_oa":false,"landing_page_url":"http://publica.fraunhofer.de/documents/N-36075.html","pdf_url":null,"source":{"id":"https://openalex.org/S4306400801","display_name":"Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4923324","host_organization_name":"Fraunhofer-Gesellschaft","host_organization_lineage":["https://openalex.org/I4923324"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Fraunhofer IDMT","raw_type":"Conference Paper"},{"id":"pmh:oai:publica.fraunhofer.de:publica/344746","is_oa":false,"landing_page_url":"https://publica.fraunhofer.de/handle/publica/344746","pdf_url":null,"source":{"id":"https://openalex.org/S4306400318","display_name":"Fraunhofer-Publica (Fraunhofer-Gesellschaft)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4923324","host_organization_name":"Fraunhofer-Gesellschaft","host_organization_lineage":["https://openalex.org/I4923324"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"conference paper"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy","score":0.8299999833106995}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1496294994","https://openalex.org/W1537844361","https://openalex.org/W1568609116","https://openalex.org/W1577279024","https://openalex.org/W1951483959","https://openalex.org/W2015370045","https://openalex.org/W2146569385","https://openalex.org/W2157020287","https://openalex.org/W2157404910","https://openalex.org/W4251101141","https://openalex.org/W4285719527","https://openalex.org/W6629799601","https://openalex.org/W6632238352","https://openalex.org/W6634006597","https://openalex.org/W6681674285"],"related_works":["https://openalex.org/W2978563117","https://openalex.org/W2046080157","https://openalex.org/W2382580345","https://openalex.org/W2173905799","https://openalex.org/W3152310464","https://openalex.org/W2083797656","https://openalex.org/W1594300462","https://openalex.org/W1950841070","https://openalex.org/W2156477611","https://openalex.org/W1967066785"],"abstract_inverted_index":{"The":[0,71],"integer":[1,8,35],"modified":[2],"discrete":[3],"cosine":[4],"transform":[5,16,27,48],"(IntMDCT),":[6],"an":[7,113],"approximation":[9,39,64],"of":[10,33,62,66,87,112],"the":[11,19,34,38,47,52,63,67,88,95,101,109,119,123],"MDCT,":[12],"is":[13,24,69,73,98,116,127],"a":[14,25,43,59,78,92,105],"reversible":[15],"realized":[17],"by":[18],"lifting":[20],"scheme":[21],"and":[22,50],"thus":[23],"useful":[26],"for":[28],"lossless":[29,53,124],"audio":[30],"coding.":[31],"Because":[32],"approximation,":[36],"however,":[37],"error":[40,65,96],"appears":[41],"as":[42],"\"noise":[44],"floor\"":[45],"in":[46,90,118],"domain":[49],"limits":[51],"coding":[54,125],"efficiency.":[55],"In":[56],"this":[57],"paper,":[58],"theoretical":[60],"analysis":[61],"IntMDCT":[68,89],"discussed.":[70],"result":[72],"then":[74],"used":[75],"to":[76,83],"design":[77],"simple":[79],"test":[80],"filter":[81],"applied":[82],"each":[84],"rounding":[85],"operation":[86],"such":[91],"way":[93],"that":[94],"spectrum":[97],"shaped":[99],"towards":[100],"low":[102,120],"frequencies.":[103],"As":[104],"result,":[106],"especially":[107],"when":[108],"spectral":[110],"energy":[111],"input":[114],"signal":[115],"concentrated":[117],"frequency":[121],"domain,":[122],"efficiency":[126],"improved.":[128]},"counts_by_year":[{"year":2017,"cited_by_count":1}],"updated_date":"2026-07-02T09:51:11.867554","created_date":"2025-10-10T00:00:00"}
