{"id":"https://openalex.org/W2073019459","doi":"https://doi.org/10.1142/s0219691310003900","title":"A COMPACTLY SUPPORTED, SYMMETRICAL AND QUASI-ORTHOGONAL WAVELET","display_name":"A COMPACTLY SUPPORTED, SYMMETRICAL AND QUASI-ORTHOGONAL WAVELET","publication_year":2010,"publication_date":"2010-11-01","ids":{"openalex":"https://openalex.org/W2073019459","doi":"https://doi.org/10.1142/s0219691310003900","mag":"2073019459"},"language":"en","primary_location":{"id":"doi:10.1142/s0219691310003900","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0219691310003900","pdf_url":null,"source":{"id":"https://openalex.org/S56986848","display_name":"International Journal of Wavelets Multiresolution and Information Processing","issn_l":"0219-6913","issn":["0219-6913","1793-690X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Wavelets, Multiresolution and Information Processing","raw_type":"journal-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/A5022750589","display_name":"Yu Hou","orcid":"https://orcid.org/0000-0003-0565-5367"},"institutions":[{"id":"https://openalex.org/I4210132223","display_name":"Zhejiang Radio and Television University","ror":"https://ror.org/02kpaqs60","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210132223"]},{"id":"https://openalex.org/I55538621","display_name":"China Jiliang University","ror":"https://ror.org/05v1y0t93","country_code":"CN","type":"education","lineage":["https://openalex.org/I55538621"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"YU HOU","raw_affiliation_strings":["China Jiliang University, Hangzhou 310018, P. R. China","Zhejiang Radio and Television University, Hangzhou 310030, P. R. China"],"affiliations":[{"raw_affiliation_string":"China Jiliang University, Hangzhou 310018, P. R. China","institution_ids":["https://openalex.org/I55538621"]},{"raw_affiliation_string":"Zhejiang Radio and Television University, Hangzhou 310030, P. R. China","institution_ids":["https://openalex.org/I4210132223"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5022750589"],"corresponding_institution_ids":["https://openalex.org/I4210132223","https://openalex.org/I55538621"],"apc_list":null,"apc_paid":null,"fwci":1.9123,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.87068588,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"08","issue":"06","first_page":"931","last_page":"940"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9998999834060669,"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":0.9998999834060669,"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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9948999881744385,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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":0.9940999746322632,"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/wavelet","display_name":"Wavelet","score":0.9117160439491272},{"id":"https://openalex.org/keywords/orthogonality","display_name":"Orthogonality","score":0.8628360629081726},{"id":"https://openalex.org/keywords/legendre-wavelet","display_name":"Legendre wavelet","score":0.7450896501541138},{"id":"https://openalex.org/keywords/gabor-wavelet","display_name":"Gabor wavelet","score":0.5450960397720337},{"id":"https://openalex.org/keywords/compression","display_name":"Compression (physics)","score":0.5100303292274475},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.4742254912853241},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.469940721988678},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4624732732772827},{"id":"https://openalex.org/keywords/wavelet-transform","display_name":"Wavelet transform","score":0.4432259500026703},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4226866364479065},{"id":"https://openalex.org/keywords/symmetry","display_name":"Symmetry (geometry)","score":0.4201611280441284},{"id":"https://openalex.org/keywords/linear-phase","display_name":"Linear phase","score":0.4129931926727295},{"id":"https://openalex.org/keywords/orthogonal-wavelet","display_name":"Orthogonal wavelet","score":0.412834107875824},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.3377941846847534},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.32061251997947693},{"id":"https://openalex.org/keywords/discrete-wavelet-transform","display_name":"Discrete wavelet transform","score":0.31510090827941895},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2249106466770172},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.14441189169883728},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.09943604469299316},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.07657068967819214}],"concepts":[{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.9117160439491272},{"id":"https://openalex.org/C17137986","wikidata":"https://www.wikidata.org/wiki/Q215067","display_name":"Orthogonality","level":2,"score":0.8628360629081726},{"id":"https://openalex.org/C123769847","wikidata":"https://www.wikidata.org/wiki/Q6517888","display_name":"Legendre wavelet","level":5,"score":0.7450896501541138},{"id":"https://openalex.org/C136902061","wikidata":"https://www.wikidata.org/wiki/Q16981559","display_name":"Gabor wavelet","level":5,"score":0.5450960397720337},{"id":"https://openalex.org/C180016635","wikidata":"https://www.wikidata.org/wiki/Q2712821","display_name":"Compression (physics)","level":2,"score":0.5100303292274475},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.4742254912853241},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.469940721988678},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4624732732772827},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.4432259500026703},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4226866364479065},{"id":"https://openalex.org/C2779886137","wikidata":"https://www.wikidata.org/wiki/Q21030012","display_name":"Symmetry (geometry)","level":2,"score":0.4201611280441284},{"id":"https://openalex.org/C20610874","wikidata":"https://www.wikidata.org/wiki/Q512136","display_name":"Linear phase","level":3,"score":0.4129931926727295},{"id":"https://openalex.org/C2777451244","wikidata":"https://www.wikidata.org/wiki/Q3352512","display_name":"Orthogonal wavelet","level":5,"score":0.412834107875824},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.3377941846847534},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.32061251997947693},{"id":"https://openalex.org/C46286280","wikidata":"https://www.wikidata.org/wiki/Q2414958","display_name":"Discrete wavelet transform","level":4,"score":0.31510090827941895},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2249106466770172},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.14441189169883728},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.09943604469299316},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.07657068967819214},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1142/s0219691310003900","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0219691310003900","pdf_url":null,"source":{"id":"https://openalex.org/S56986848","display_name":"International Journal of Wavelets Multiresolution and Information Processing","issn_l":"0219-6913","issn":["0219-6913","1793-690X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Wavelets, Multiresolution and Information Processing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W1512748702","https://openalex.org/W1587804637","https://openalex.org/W1766888123","https://openalex.org/W1977549345","https://openalex.org/W1980149518","https://openalex.org/W1989491465","https://openalex.org/W2013198648","https://openalex.org/W2033966461","https://openalex.org/W2043583598","https://openalex.org/W2060566355","https://openalex.org/W2062024414","https://openalex.org/W2096684483","https://openalex.org/W2098914003","https://openalex.org/W2106481117","https://openalex.org/W2128741405","https://openalex.org/W2132984323","https://openalex.org/W2145952630","https://openalex.org/W2149072817","https://openalex.org/W2166982406","https://openalex.org/W3032942295","https://openalex.org/W4255272544","https://openalex.org/W4388392666"],"related_works":["https://openalex.org/W2951011914","https://openalex.org/W166303848","https://openalex.org/W4293402340","https://openalex.org/W1643168517","https://openalex.org/W2055938957","https://openalex.org/W2090016604","https://openalex.org/W4245493829","https://openalex.org/W2883368281","https://openalex.org/W2378995732","https://openalex.org/W2114435281"],"abstract_inverted_index":{"Based":[0],"on":[1],"the":[2,27,53,62,72],"wavelet":[3],"theory":[4],"and":[5,17,21,35,38,58,83],"optimization":[6],"method,":[7],"a":[8,76],"class":[9],"of":[10,26,55,80],"single":[11],"wavelets":[12,69,74],"with":[13,66],"compact":[14],"support,":[15],"symmetry":[16],"quasi-orthogonality":[18],"are":[19,41],"designed":[20],"constructed.":[22],"Some":[23],"mathematical":[24],"properties":[25],"wavelets,":[28],"such":[29],"as":[30],"orthogonality,":[31],"linear":[32],"phase":[33],"property":[34],"vanishing":[36],"moments":[37],"so":[39],"on,":[40],"studied.":[42],"A":[43],"speech":[44,59,84],"compression":[45,60],"experiment":[46],"is":[47],"implemented":[48],"in":[49],"order":[50],"to":[51],"investigate":[52],"performance":[54,79],"signal":[56,81],"reconstruction":[57,82],"for":[61],"proposed":[63,73],"wavelets.":[64],"Comparison":[65],"some":[67],"conventional":[68],"shows":[70],"that":[71],"have":[75],"very":[77],"good":[78],"compression.":[85]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
