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An example of wavelet denoising using lazy transform and the lifting scheme
This paper considers the implementation of the lifting scheme. It is used as an effective and flexible tool for introducing signal dependence into the problem by improving the wavelet properties. Here, we present the results for simple example of the lazy transform implementation for the signal deno...
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creator | Gavrovska, A. M. Paskas, M. P. Reljin, I. S. |
description | This paper considers the implementation of the lifting scheme. It is used as an effective and flexible tool for introducing signal dependence into the problem by improving the wavelet properties. Here, we present the results for simple example of the lazy transform implementation for the signal denoising problem. The results are obtained by testing different threshold values. |
doi_str_mv | 10.1109/TELFOR.2011.6143623 |
format | conference_proceeding |
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M. ; Paskas, M. P. ; Reljin, I. S.</creator><creatorcontrib>Gavrovska, A. M. ; Paskas, M. P. ; Reljin, I. S.</creatorcontrib><description>This paper considers the implementation of the lifting scheme. It is used as an effective and flexible tool for introducing signal dependence into the problem by improving the wavelet properties. Here, we present the results for simple example of the lazy transform implementation for the signal denoising problem. 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M.</creatorcontrib><creatorcontrib>Paskas, M. P.</creatorcontrib><creatorcontrib>Reljin, I. S.</creatorcontrib><title>An example of wavelet denoising using lazy transform and the lifting scheme</title><title>2011 19thTelecommunications Forum (TELFOR) Proceedings of Papers</title><addtitle>TELFOR</addtitle><description>This paper considers the implementation of the lifting scheme. It is used as an effective and flexible tool for introducing signal dependence into the problem by improving the wavelet properties. Here, we present the results for simple example of the lazy transform implementation for the signal denoising problem. The results are obtained by testing different threshold values.</description><subject>Approximation methods</subject><subject>dual and primal lifting step</subject><subject>Filter banks</subject><subject>lazy transform</subject><subject>lifting scheme</subject><subject>Noise measurement</subject><subject>Signal to noise ratio</subject><subject>Simulation</subject><subject>Wavelet transforms</subject><subject>Wavelets</subject><isbn>145771499X</isbn><isbn>9781457714993</isbn><isbn>9781457714986</isbn><isbn>1457714981</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2011</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><recordid>eNo1j8lqwzAYhFVKoW3qJ8hFL2BXsmQtxxCSNtQQKD70Fn5bvxoVL8Fyl_Tpu6VzmOFjYGAImXOWcc7sbbUq19vHLGecZ4pLoXJxRhKrDZeF1lxao87J9T_Yp0uSxPjCvqWUVZpdkYdFT_EDukOLdPD0Hd6wxYk67IcQQ_9MX3-9hc8jnUboox_GjkLv6LRH2gY__dSx2WOHN-TCQxsxOeWMVOtVtbxPy-3dZrko02DZlApvuQTZKAFOeQ2FqYVoGlXnmrkCoHbWc2HQG-kKbXxjUYOqWa2cVtYUYkbmf7MBEXeHMXQwHnen--ILaIlPwQ</recordid><startdate>201111</startdate><enddate>201111</enddate><creator>Gavrovska, A. M.</creator><creator>Paskas, M. P.</creator><creator>Reljin, I. S.</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>201111</creationdate><title>An example of wavelet denoising using lazy transform and the lifting scheme</title><author>Gavrovska, A. M. ; Paskas, M. P. ; Reljin, I. S.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i90t-3f914a4c63ad6f7a58b33cc6b270d5aabd9f138ef84d578fc9e7a6b0b6d769853</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2011</creationdate><topic>Approximation methods</topic><topic>dual and primal lifting step</topic><topic>Filter banks</topic><topic>lazy transform</topic><topic>lifting scheme</topic><topic>Noise measurement</topic><topic>Signal to noise ratio</topic><topic>Simulation</topic><topic>Wavelet transforms</topic><topic>Wavelets</topic><toplevel>online_resources</toplevel><creatorcontrib>Gavrovska, A. M.</creatorcontrib><creatorcontrib>Paskas, M. P.</creatorcontrib><creatorcontrib>Reljin, I. S.</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan All Online (POP All Online) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Xplore</collection><collection>IEEE Proceedings Order Plans (POP All) 1998-Present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Gavrovska, A. M.</au><au>Paskas, M. P.</au><au>Reljin, I. S.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>An example of wavelet denoising using lazy transform and the lifting scheme</atitle><btitle>2011 19thTelecommunications Forum (TELFOR) Proceedings of Papers</btitle><stitle>TELFOR</stitle><date>2011-11</date><risdate>2011</risdate><spage>615</spage><epage>618</epage><pages>615-618</pages><isbn>145771499X</isbn><isbn>9781457714993</isbn><eisbn>9781457714986</eisbn><eisbn>1457714981</eisbn><abstract>This paper considers the implementation of the lifting scheme. It is used as an effective and flexible tool for introducing signal dependence into the problem by improving the wavelet properties. Here, we present the results for simple example of the lazy transform implementation for the signal denoising problem. The results are obtained by testing different threshold values.</abstract><pub>IEEE</pub><doi>10.1109/TELFOR.2011.6143623</doi><tpages>4</tpages></addata></record> |
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source | IEEE Electronic Library (IEL) Conference Proceedings |
subjects | Approximation methods dual and primal lifting step Filter banks lazy transform lifting scheme Noise measurement Signal to noise ratio Simulation Wavelet transforms Wavelets |
title | An example of wavelet denoising using lazy transform and the lifting scheme |
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