Group-normalized processing of complex wavelet packets
Linear phase is not possible for real valued FIR QMF, while linear phase FIR biorthogonal wavelet filter banks make the mean squared error of the constructed signal exceed that of the quantization error. W Lawton’ s method for complex valued wavelets construction is extended to generate the complex...
Gespeichert in:
| Veröffentlicht in: | Science China. Technological sciences 1997-02, Vol.40 (1), p.28-43 |
|---|---|
| 1. Verfasser: | |
| Format: | Artikel |
| Sprache: | eng |
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | 43 |
|---|---|
| container_issue | 1 |
| container_start_page | 28 |
| container_title | Science China. Technological sciences |
| container_volume | 40 |
| creator | 石卓尔 保铮 |
| description | Linear phase is not possible for real valued FIR QMF, while linear phase FIR biorthogonal wavelet filter banks make the mean squared error of the constructed signal exceed that of the quantization error. W Lawton’ s method for complex valued wavelets construction is extended to generate the complex valued compactly supported wavelet packets that are symmetrical and unitary orthogonal; then well-defined wavelet packets are chosen by the analysis remarks on their time-frequency characteristics. Since the traditional wavelel packets transform coefficients do not exactly represent the strength of signal components, a modified adaptive wavelets transform, group-normalized wavelet packet transform (GNWPT), is presented and utilized for target extraction from formidable clutter or noises with the time-frequency masking technique. The extended definition of lp-norm entropy improves the performance cf GNWPT. Similar method can also be applied to image enhancement, clutter and noise suppression, optimal detection |
| doi_str_mv | 10.1007/bf02916588 |
| format | Article |
| fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_journals_2787257594</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><cqvip_id>3001014020</cqvip_id><sourcerecordid>2787257594</sourcerecordid><originalsourceid>FETCH-LOGICAL-c285t-b23930308e7cd24a3b0acfbfdae04b9ad5b7c7d7c10ff5f335799120ef92f15d3</originalsourceid><addsrcrecordid>eNpFkMtOwzAQRS0EElXphi-IxA7JMLbj2F5CRQtSJTawjhzHLilpnNoJj349RuUxm5nF0Z2Zg9A5gSsCIK4rB1SRgkt5hCZEFgoTBXCc5kLkWDBKTtEsxg2kYlIBySeoWAY_9rjzYavbZm_rrA_e2Bibbp15lxm_7Vv7kb3rN9vaIeu1ebVDPEMnTrfRzn76FD0v7p7m93j1uHyY36ywoZIPuKJMMWAgrTA1zTWrQBtXuVpbyCula14JI2phCDjHHWNcKEUoWKeoI7xmU3RxyE1X7UYbh3Ljx9CllSUVUlAuuMoTdXmgTPAxBuvKPjRbHT5LAuW3mvJ28avmP9K8-G69S3_-0QyAJCtAgX0BYethGg</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2787257594</pqid></control><display><type>article</type><title>Group-normalized processing of complex wavelet packets</title><source>SpringerNature Complete Journals</source><source>Alma/SFX Local Collection</source><creator>石卓尔 保铮</creator><creatorcontrib>石卓尔 保铮</creatorcontrib><description>Linear phase is not possible for real valued FIR QMF, while linear phase FIR biorthogonal wavelet filter banks make the mean squared error of the constructed signal exceed that of the quantization error. W Lawton’ s method for complex valued wavelets construction is extended to generate the complex valued compactly supported wavelet packets that are symmetrical and unitary orthogonal; then well-defined wavelet packets are chosen by the analysis remarks on their time-frequency characteristics. Since the traditional wavelel packets transform coefficients do not exactly represent the strength of signal components, a modified adaptive wavelets transform, group-normalized wavelet packet transform (GNWPT), is presented and utilized for target extraction from formidable clutter or noises with the time-frequency masking technique. The extended definition of lp-norm entropy improves the performance cf GNWPT. Similar method can also be applied to image enhancement, clutter and noise suppression, optimal detection</description><identifier>ISSN: 1674-7321</identifier><identifier>ISSN: 1006-9321</identifier><identifier>EISSN: 1869-1900</identifier><identifier>EISSN: 1862-281X</identifier><identifier>DOI: 10.1007/bf02916588</identifier><language>eng</language><publisher>Heidelberg: Springer Nature B.V</publisher><subject>Clutter ; complex ; Filter banks ; group-normalization ; Image enhancement ; Linear phase ; masking ; Noise reduction ; packets ; Radar detection ; Radar imaging ; Time-frequency analysis ; valued ; wavelet ; Wavelet transforms</subject><ispartof>Science China. Technological sciences, 1997-02, Vol.40 (1), p.28-43</ispartof><rights>Science in China Press 1997.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c285t-b23930308e7cd24a3b0acfbfdae04b9ad5b7c7d7c10ff5f335799120ef92f15d3</citedby><cites>FETCH-LOGICAL-c285t-b23930308e7cd24a3b0acfbfdae04b9ad5b7c7d7c10ff5f335799120ef92f15d3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Uhttp://image.cqvip.com/vip1000/qk/60110X/60110X.jpg</thumbnail><link.rule.ids>315,781,785,27929,27930</link.rule.ids></links><search><creatorcontrib>石卓尔 保铮</creatorcontrib><title>Group-normalized processing of complex wavelet packets</title><title>Science China. Technological sciences</title><addtitle>SCIENCE CHINA Technological Sciences</addtitle><description>Linear phase is not possible for real valued FIR QMF, while linear phase FIR biorthogonal wavelet filter banks make the mean squared error of the constructed signal exceed that of the quantization error. W Lawton’ s method for complex valued wavelets construction is extended to generate the complex valued compactly supported wavelet packets that are symmetrical and unitary orthogonal; then well-defined wavelet packets are chosen by the analysis remarks on their time-frequency characteristics. Since the traditional wavelel packets transform coefficients do not exactly represent the strength of signal components, a modified adaptive wavelets transform, group-normalized wavelet packet transform (GNWPT), is presented and utilized for target extraction from formidable clutter or noises with the time-frequency masking technique. The extended definition of lp-norm entropy improves the performance cf GNWPT. Similar method can also be applied to image enhancement, clutter and noise suppression, optimal detection</description><subject>Clutter</subject><subject>complex</subject><subject>Filter banks</subject><subject>group-normalization</subject><subject>Image enhancement</subject><subject>Linear phase</subject><subject>masking</subject><subject>Noise reduction</subject><subject>packets</subject><subject>Radar detection</subject><subject>Radar imaging</subject><subject>Time-frequency analysis</subject><subject>valued</subject><subject>wavelet</subject><subject>Wavelet transforms</subject><issn>1674-7321</issn><issn>1006-9321</issn><issn>1869-1900</issn><issn>1862-281X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>1997</creationdate><recordtype>article</recordtype><recordid>eNpFkMtOwzAQRS0EElXphi-IxA7JMLbj2F5CRQtSJTawjhzHLilpnNoJj349RuUxm5nF0Z2Zg9A5gSsCIK4rB1SRgkt5hCZEFgoTBXCc5kLkWDBKTtEsxg2kYlIBySeoWAY_9rjzYavbZm_rrA_e2Bibbp15lxm_7Vv7kb3rN9vaIeu1ebVDPEMnTrfRzn76FD0v7p7m93j1uHyY36ywoZIPuKJMMWAgrTA1zTWrQBtXuVpbyCula14JI2phCDjHHWNcKEUoWKeoI7xmU3RxyE1X7UYbh3Ljx9CllSUVUlAuuMoTdXmgTPAxBuvKPjRbHT5LAuW3mvJ28avmP9K8-G69S3_-0QyAJCtAgX0BYethGg</recordid><startdate>19970201</startdate><enddate>19970201</enddate><creator>石卓尔 保铮</creator><general>Springer Nature B.V</general><scope>2RA</scope><scope>92L</scope><scope>CQIGP</scope><scope>W92</scope><scope>~WA</scope><scope>AAYXX</scope><scope>CITATION</scope></search><sort><creationdate>19970201</creationdate><title>Group-normalized processing of complex wavelet packets</title><author>石卓尔 保铮</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c285t-b23930308e7cd24a3b0acfbfdae04b9ad5b7c7d7c10ff5f335799120ef92f15d3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>1997</creationdate><topic>Clutter</topic><topic>complex</topic><topic>Filter banks</topic><topic>group-normalization</topic><topic>Image enhancement</topic><topic>Linear phase</topic><topic>masking</topic><topic>Noise reduction</topic><topic>packets</topic><topic>Radar detection</topic><topic>Radar imaging</topic><topic>Time-frequency analysis</topic><topic>valued</topic><topic>wavelet</topic><topic>Wavelet transforms</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>石卓尔 保铮</creatorcontrib><collection>中文科技期刊数据库</collection><collection>中文科技期刊数据库-CALIS站点</collection><collection>中文科技期刊数据库-7.0平台</collection><collection>中文科技期刊数据库-工程技术</collection><collection>中文科技期刊数据库- 镜像站点</collection><collection>CrossRef</collection><jtitle>Science China. Technological sciences</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>石卓尔 保铮</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Group-normalized processing of complex wavelet packets</atitle><jtitle>Science China. Technological sciences</jtitle><addtitle>SCIENCE CHINA Technological Sciences</addtitle><date>1997-02-01</date><risdate>1997</risdate><volume>40</volume><issue>1</issue><spage>28</spage><epage>43</epage><pages>28-43</pages><issn>1674-7321</issn><issn>1006-9321</issn><eissn>1869-1900</eissn><eissn>1862-281X</eissn><abstract>Linear phase is not possible for real valued FIR QMF, while linear phase FIR biorthogonal wavelet filter banks make the mean squared error of the constructed signal exceed that of the quantization error. W Lawton’ s method for complex valued wavelets construction is extended to generate the complex valued compactly supported wavelet packets that are symmetrical and unitary orthogonal; then well-defined wavelet packets are chosen by the analysis remarks on their time-frequency characteristics. Since the traditional wavelel packets transform coefficients do not exactly represent the strength of signal components, a modified adaptive wavelets transform, group-normalized wavelet packet transform (GNWPT), is presented and utilized for target extraction from formidable clutter or noises with the time-frequency masking technique. The extended definition of lp-norm entropy improves the performance cf GNWPT. Similar method can also be applied to image enhancement, clutter and noise suppression, optimal detection</abstract><cop>Heidelberg</cop><pub>Springer Nature B.V</pub><doi>10.1007/bf02916588</doi><tpages>16</tpages></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 1674-7321 |
| ispartof | Science China. Technological sciences, 1997-02, Vol.40 (1), p.28-43 |
| issn | 1674-7321 1006-9321 1869-1900 1862-281X |
| language | eng |
| recordid | cdi_proquest_journals_2787257594 |
| source | SpringerNature Complete Journals; Alma/SFX Local Collection |
| subjects | Clutter complex Filter banks group-normalization Image enhancement Linear phase masking Noise reduction packets Radar detection Radar imaging Time-frequency analysis valued wavelet Wavelet transforms |
| title | Group-normalized processing of complex wavelet packets |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-12T17%3A04%3A30IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Group-normalized%20processing%20of%20complex%20wavelet%20packets&rft.jtitle=Science%20China.%20Technological%20sciences&rft.au=%E7%9F%B3%E5%8D%93%E5%B0%94%20%E4%BF%9D%E9%93%AE&rft.date=1997-02-01&rft.volume=40&rft.issue=1&rft.spage=28&rft.epage=43&rft.pages=28-43&rft.issn=1674-7321&rft.eissn=1869-1900&rft_id=info:doi/10.1007/bf02916588&rft_dat=%3Cproquest_cross%3E2787257594%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2787257594&rft_id=info:pmid/&rft_cqvip_id=3001014020&rfr_iscdi=true |