{"id":"https://openalex.org/W2145260909","doi":"https://doi.org/10.1109/icassp.2005.1416037","title":"The Successive Mean Quantization Transform","display_name":"The Successive Mean Quantization Transform","publication_year":2006,"publication_date":"2006-10-11","ids":{"openalex":"https://openalex.org/W2145260909","doi":"https://doi.org/10.1109/icassp.2005.1416037","mag":"2145260909"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2005.1416037","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2005.1416037","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings. (ICASSP '05). IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005.","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"http://urn.kb.se/resolve?urn=urn:nbn:se:bth-10182","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5103376730","display_name":"Mikael Nilsson","orcid":null},"institutions":[{"id":"https://openalex.org/I52719799","display_name":"Blekinge Institute of Technology","ror":"https://ror.org/0093a8w51","country_code":"SE","type":"education","lineage":["https://openalex.org/I52719799"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Mikael Nilsson","raw_affiliation_strings":["School of Engineering, Blekinge Institute of Technology, Ronneby, Sweden"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Engineering, Blekinge Institute of Technology, Ronneby, Sweden","institution_ids":["https://openalex.org/I52719799"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Mattias Dahl","orcid":null},"institutions":[{"id":"https://openalex.org/I52719799","display_name":"Blekinge Institute of Technology","ror":"https://ror.org/0093a8w51","country_code":"SE","type":"education","lineage":["https://openalex.org/I52719799"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Mattias Dahl","raw_affiliation_strings":["School of Engineering, Blekinge Institute of Technology, Ronneby, Sweden"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Engineering, Blekinge Institute of Technology, Ronneby, Sweden","institution_ids":["https://openalex.org/I52719799"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5052616489","display_name":"Ingvar Claesson","orcid":null},"institutions":[{"id":"https://openalex.org/I52719799","display_name":"Blekinge Institute of Technology","ror":"https://ror.org/0093a8w51","country_code":"SE","type":"education","lineage":["https://openalex.org/I52719799"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Ingvar Claesson","raw_affiliation_strings":["School of Engineering, Blekinge Institute of Technology, Ronneby, Sweden"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Engineering, Blekinge Institute of Technology, Ronneby, Sweden","institution_ids":["https://openalex.org/I52719799"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.1555,"has_fulltext":false,"cited_by_count":76,"citation_normalized_percentile":{"value":0.92562643,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"4","issue":null,"first_page":"429","last_page":"432"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9991000294685364,"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":0.9991000294685364,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9987999796867371,"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/T10901","display_name":"Advanced Data Compression Techniques","score":0.9986000061035156,"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/computer-science","display_name":"Computer science","score":0.5934194326400757},{"id":"https://openalex.org/keywords/quantization","display_name":"Quantization (signal processing)","score":0.5804216861724854},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.5158461928367615},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5111663937568665},{"id":"https://openalex.org/keywords/top-hat-transform","display_name":"Top-hat transform","score":0.49073827266693115},{"id":"https://openalex.org/keywords/constant-q-transform","display_name":"Constant Q transform","score":0.4889758825302124},{"id":"https://openalex.org/keywords/s-transform","display_name":"S transform","score":0.46457821130752563},{"id":"https://openalex.org/keywords/vector-quantization","display_name":"Vector quantization","score":0.4603983461856842},{"id":"https://openalex.org/keywords/transform-coding","display_name":"Transform coding","score":0.44008737802505493},{"id":"https://openalex.org/keywords/hartley-transform","display_name":"Hartley transform","score":0.4331652522087097},{"id":"https://openalex.org/keywords/signal-processing","display_name":"Signal processing","score":0.43287914991378784},{"id":"https://openalex.org/keywords/discrete-cosine-transform","display_name":"Discrete cosine transform","score":0.43247249722480774},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.42216914892196655},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.41488635540008545},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3963501751422882},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.30150002241134644},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.30064934492111206},{"id":"https://openalex.org/keywords/digital-image-processing","display_name":"Digital image processing","score":0.2780197560787201},{"id":"https://openalex.org/keywords/fractional-fourier-transform","display_name":"Fractional Fourier transform","score":0.2506694793701172},{"id":"https://openalex.org/keywords/wavelet-transform","display_name":"Wavelet transform","score":0.22906246781349182},{"id":"https://openalex.org/keywords/fourier-transform","display_name":"Fourier transform","score":0.193679541349411},{"id":"https://openalex.org/keywords/discrete-wavelet-transform","display_name":"Discrete wavelet transform","score":0.13263005018234253},{"id":"https://openalex.org/keywords/digital-signal-processing","display_name":"Digital signal processing","score":0.12281042337417603},{"id":"https://openalex.org/keywords/fourier-analysis","display_name":"Fourier analysis","score":0.058415353298187256}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5934194326400757},{"id":"https://openalex.org/C28855332","wikidata":"https://www.wikidata.org/wiki/Q198099","display_name":"Quantization (signal processing)","level":2,"score":0.5804216861724854},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.5158461928367615},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5111663937568665},{"id":"https://openalex.org/C180064427","wikidata":"https://www.wikidata.org/wiki/Q2880017","display_name":"Top-hat transform","level":5,"score":0.49073827266693115},{"id":"https://openalex.org/C153705960","wikidata":"https://www.wikidata.org/wiki/Q5163634","display_name":"Constant Q transform","level":5,"score":0.4889758825302124},{"id":"https://openalex.org/C99234102","wikidata":"https://www.wikidata.org/wiki/Q7395403","display_name":"S transform","level":5,"score":0.46457821130752563},{"id":"https://openalex.org/C199833920","wikidata":"https://www.wikidata.org/wiki/Q612536","display_name":"Vector quantization","level":2,"score":0.4603983461856842},{"id":"https://openalex.org/C169805256","wikidata":"https://www.wikidata.org/wiki/Q1361381","display_name":"Transform coding","level":4,"score":0.44008737802505493},{"id":"https://openalex.org/C67757890","wikidata":"https://www.wikidata.org/wiki/Q1567607","display_name":"Hartley transform","level":5,"score":0.4331652522087097},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.43287914991378784},{"id":"https://openalex.org/C2221639","wikidata":"https://www.wikidata.org/wiki/Q2877","display_name":"Discrete cosine transform","level":3,"score":0.43247249722480774},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.42216914892196655},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.41488635540008545},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3963501751422882},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.30150002241134644},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.30064934492111206},{"id":"https://openalex.org/C104317675","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Digital image processing","level":4,"score":0.2780197560787201},{"id":"https://openalex.org/C76563020","wikidata":"https://www.wikidata.org/wiki/Q4817582","display_name":"Fractional Fourier transform","level":4,"score":0.2506694793701172},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.22906246781349182},{"id":"https://openalex.org/C102519508","wikidata":"https://www.wikidata.org/wiki/Q6520159","display_name":"Fourier transform","level":2,"score":0.193679541349411},{"id":"https://openalex.org/C46286280","wikidata":"https://www.wikidata.org/wiki/Q2414958","display_name":"Discrete wavelet transform","level":4,"score":0.13263005018234253},{"id":"https://openalex.org/C84462506","wikidata":"https://www.wikidata.org/wiki/Q173142","display_name":"Digital signal processing","level":2,"score":0.12281042337417603},{"id":"https://openalex.org/C203024314","wikidata":"https://www.wikidata.org/wiki/Q1365258","display_name":"Fourier analysis","level":3,"score":0.058415353298187256},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.0},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icassp.2005.1416037","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2005.1416037","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings. (ICASSP '05). IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005.","raw_type":"proceedings-article"},{"id":"pmh:oai:DiVA.org:bth-10182","is_oa":true,"landing_page_url":"http://urn.kb.se/resolve?urn=urn:nbn:se:bth-10182","pdf_url":null,"source":{"id":"https://openalex.org/S4306401559","display_name":"KTH Publication Database DiVA (KTH Royal Institute of Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:DiVA.org:bth-10182","is_oa":true,"landing_page_url":"http://urn.kb.se/resolve?urn=urn:nbn:se:bth-10182","pdf_url":null,"source":{"id":"https://openalex.org/S4306401559","display_name":"KTH Publication Database DiVA (KTH Royal Institute of Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W1493163583","https://openalex.org/W1560013842","https://openalex.org/W1674866864","https://openalex.org/W1895126246","https://openalex.org/W1992576854","https://openalex.org/W2076979746","https://openalex.org/W2080921589","https://openalex.org/W2102760078","https://openalex.org/W2121900453","https://openalex.org/W2144109317","https://openalex.org/W2147421915","https://openalex.org/W2151129315","https://openalex.org/W4256068510"],"related_works":["https://openalex.org/W2222331773","https://openalex.org/W237185286","https://openalex.org/W2563742385","https://openalex.org/W2551275593","https://openalex.org/W19668000","https://openalex.org/W1568778602","https://openalex.org/W4364360619","https://openalex.org/W2381453479","https://openalex.org/W3206485769","https://openalex.org/W2536582620"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"the":[3,12,17,49,62],"successive":[4],"mean":[5],"quantization":[6],"transform":[7,10,28,63],"(SMQT).":[8],"The":[9,27,39],"reveals":[11],"organization":[13],"or":[14],"structure":[15],"of":[16],"data":[18],"and":[19,25,31,36,70],"removes":[20],"properties":[21],"such":[22],"as":[23,43],"gain":[24],"bias.":[26],"is":[29,41,64],"described":[30],"applied":[32,65],"in":[33,56,66],"speech":[34,57],"processing":[35,46,61],"image":[37,60,68],"processing.":[38],"SMQT":[40],"considered":[42],"an":[44],"extra":[45],"step":[47],"for":[48],"mel":[50],"frequency":[51],"cepstral":[52],"coefficients":[53],"commonly":[54],"used":[55],"recognition.":[58],"In":[59],"automatic":[67],"enhancement":[69],"dynamic":[71],"range":[72],"compression.":[73]},"counts_by_year":[{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":6},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":5},{"year":2016,"cited_by_count":5},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":11},{"year":2013,"cited_by_count":8},{"year":2012,"cited_by_count":7}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
