{"id":"https://openalex.org/W2002043256","doi":"https://doi.org/10.1109/icip.2011.6116158","title":"Block-lifting factorization of M-channel biorthogonal filter banks with an arbitrary McMillan degree","display_name":"Block-lifting factorization of M-channel biorthogonal filter banks with an arbitrary McMillan degree","publication_year":2011,"publication_date":"2011-09-01","ids":{"openalex":"https://openalex.org/W2002043256","doi":"https://doi.org/10.1109/icip.2011.6116158","mag":"2002043256"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2011.6116158","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2011.6116158","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 18th IEEE International Conference on Image Processing","raw_type":"proceedings-article"},"type":"conference-paper","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/A5083646987","display_name":"Taizo Suzuki","orcid":"https://orcid.org/0000-0002-9943-679X"},"institutions":[{"id":"https://openalex.org/I104946051","display_name":"Nihon University","ror":"https://ror.org/05jk51a88","country_code":"JP","type":"education","lineage":["https://openalex.org/I104946051"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Taizo Suzuki","raw_affiliation_strings":["College of Engineering, Nihon University, Fukushima, Japan","College of Engineering, Nihon University, Koriyama, Fukushima 963-8642, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Engineering, Nihon University, Fukushima, Japan","institution_ids":["https://openalex.org/I104946051"]},{"raw_affiliation_string":"College of Engineering, Nihon University, Koriyama, Fukushima 963-8642, Japan","institution_ids":["https://openalex.org/I104946051"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090181402","display_name":"Masaaki Ikehara","orcid":"https://orcid.org/0000-0003-3461-1507"},"institutions":[{"id":"https://openalex.org/I203951103","display_name":"Keio University","ror":"https://ror.org/02kn6nx58","country_code":"JP","type":"education","lineage":["https://openalex.org/I203951103"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Masaaki Ikehara","raw_affiliation_strings":["EEE Department, Keio University, Yokohama, Kanagawa, Japan","EEE Dept., Keio University: Yokohama, Kanagawa, 223-8522 Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"EEE Department, Keio University, Yokohama, Kanagawa, Japan","institution_ids":["https://openalex.org/I203951103"]},{"raw_affiliation_string":"EEE Dept., Keio University: Yokohama, Kanagawa, 223-8522 Japan","institution_ids":["https://openalex.org/I203951103"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102719190","display_name":"Truong Q. Nguyen","orcid":"https://orcid.org/0000-0002-5022-063X"},"institutions":[{"id":"https://openalex.org/I36258959","display_name":"University of California San Diego","ror":"https://ror.org/0168r3w48","country_code":"US","type":"education","lineage":["https://openalex.org/I36258959"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Truong Q. Nguyen","raw_affiliation_strings":["ECE Department, University of California, San Diego, La Jolla, CA, USA","ECE Department, University of California, San Diego, La Jolla, CA 92093 USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ECE Department, University of California, San Diego, La Jolla, CA, USA","institution_ids":["https://openalex.org/I36258959"]},{"raw_affiliation_string":"ECE Department, University of California, San Diego, La Jolla, CA 92093 USA","institution_ids":["https://openalex.org/I36258959"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.09128895,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"245","last_page":"248"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10901","display_name":"Advanced Data Compression Techniques","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9997000098228455,"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/T10741","display_name":"Video Coding and Compression Technologies","score":0.9995999932289124,"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/factorization","display_name":"Factorization","score":0.7194234728813171},{"id":"https://openalex.org/keywords/lossy-compression","display_name":"Lossy compression","score":0.6956523060798645},{"id":"https://openalex.org/keywords/lossless-compression","display_name":"Lossless compression","score":0.6924084424972534},{"id":"https://openalex.org/keywords/biorthogonal-system","display_name":"Biorthogonal system","score":0.5848480463027954},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.5721730589866638},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5056390762329102},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.45587342977523804},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.44208768010139465},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.4190233051776886},{"id":"https://openalex.org/keywords/degree","display_name":"Degree (music)","score":0.4107837677001953},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3464609980583191},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.2264593541622162},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.18764790892601013},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.12813809514045715},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.07498669624328613},{"id":"https://openalex.org/keywords/acoustics","display_name":"Acoustics","score":0.0650312602519989},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.05527079105377197}],"concepts":[{"id":"https://openalex.org/C187834632","wikidata":"https://www.wikidata.org/wiki/Q188804","display_name":"Factorization","level":2,"score":0.7194234728813171},{"id":"https://openalex.org/C165021410","wikidata":"https://www.wikidata.org/wiki/Q55564","display_name":"Lossy compression","level":2,"score":0.6956523060798645},{"id":"https://openalex.org/C81081738","wikidata":"https://www.wikidata.org/wiki/Q55542","display_name":"Lossless compression","level":3,"score":0.6924084424972534},{"id":"https://openalex.org/C158453530","wikidata":"https://www.wikidata.org/wiki/Q864692","display_name":"Biorthogonal system","level":4,"score":0.5848480463027954},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.5721730589866638},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5056390762329102},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.45587342977523804},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.44208768010139465},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.4190233051776886},{"id":"https://openalex.org/C2775997480","wikidata":"https://www.wikidata.org/wiki/Q586277","display_name":"Degree (music)","level":2,"score":0.4107837677001953},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3464609980583191},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.2264593541622162},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.18764790892601013},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.12813809514045715},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.07498669624328613},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.0650312602519989},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.05527079105377197},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.0},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip.2011.6116158","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2011.6116158","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 18th IEEE International Conference on Image Processing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11","score":0.46000000834465027}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W1481646516","https://openalex.org/W1572924627","https://openalex.org/W1974581749","https://openalex.org/W1984496298","https://openalex.org/W2104263407","https://openalex.org/W2140894462","https://openalex.org/W2145445059","https://openalex.org/W2148120064","https://openalex.org/W2168820283","https://openalex.org/W6634545549","https://openalex.org/W6680297669","https://openalex.org/W6684759130"],"related_works":["https://openalex.org/W2978432024","https://openalex.org/W2118338613","https://openalex.org/W1995805316","https://openalex.org/W3180760233","https://openalex.org/W2071387875","https://openalex.org/W1568381040","https://openalex.org/W2132019419","https://openalex.org/W4205915047","https://openalex.org/W2148203918","https://openalex.org/W2276828234"],"abstract_inverted_index":{"A":[0],"block-lifting":[1,32,42,87],"factorization":[2,33,66,88],"of":[3,34,49,51],"M-channel":[4,35],"biorthogonal":[5],"filter":[6,105],"banks":[7],"(BOFBs)":[8],"with":[9],"degree-N":[10],"building":[11,53,75],"blocks":[12],"and":[13,95,107],"even/odd":[14],"M":[15],"(M":[16,80],"\u2265":[17],"2)":[18],"for":[19,91],"lossless-to-lossy":[20,111],"image":[21,112],"coding":[22,58],"is":[23,67,77,81,101],"introduced":[24],"in":[25,73],"this":[26],"paper.":[27],"In":[28],"the":[29,41,47,61,65],"previous":[30],"work,":[31],"BOFBs":[36],"has":[37],"been":[38],"proposed.":[39],"Since":[40],"structure":[43],"does":[44],"not":[45,68],"require":[46],"restriction":[48],"determinant":[50],"each":[52,74],"block,":[54],"it":[55],"achieves":[56],"better":[57],"performance":[59],"than":[60],"conventional":[62],"methods.":[63],"However,":[64],"completed":[69],"because":[70],"McMillan":[71],"degree":[72,94],"block":[76,97],"fixed":[78,93],"M/2":[79],"even).":[82],"This":[83],"paper":[84],"proposes":[85],"a":[86,92],"without":[89],"restrictions":[90],"even":[96],"size.":[98],"Our":[99],"proposal":[100],"validated":[102],"by":[103],"several":[104],"designs":[106],"their":[108],"application":[109],"to":[110],"coding.":[113]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
