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Titlebook: Second Generation Wavelets and Applications; Maarten Jansen,Patrick Oonincx Book 2005 Springer-Verlag London 2005 Data Analysis.Lifting sc

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書目名稱Second Generation Wavelets and Applications
編輯Maarten Jansen,Patrick Oonincx
視頻videohttp://file.papertrans.cn/864/863127/863127.mp4
概述No other book covers second generation wavelets and their applications in engineering and computer science
圖書封面Titlebook: Second Generation Wavelets and Applications;  Maarten Jansen,Patrick Oonincx Book 2005 Springer-Verlag London 2005 Data Analysis.Lifting sc
描述.Wavelets are mathematical functions that divide data into different frequency components, and then study each component with a resolution matched to its scale....First generation wavelets have proved useful in many applications in engineering and computer science. However they cannot be used with non-linear, data-adaptive decompositions and non-equispaced data...Second Generation Wavelets and Applications introduces "second generation wavelets" and the lifting transform that can be used to apply the traditional benefits of wavelets into a wide range of new areas in signal processing, data processing and computer graphics....This book details the mathematical fundamentals of the lifting transform and illustrates the latest applications of the transform in signal and image processing, numerical analysis, scattering data smoothing and rendering of computer images..
出版日期Book 2005
關(guān)鍵詞Data Analysis; Lifting scheme; Signal; Signal Processing; Wavelet; Wavelets; calculus; computer graphics; fu
版次1
doihttps://doi.org/10.1007/1-84628-140-7
isbn_softcover978-1-84996-958-1
isbn_ebook978-1-84628-140-2
copyrightSpringer-Verlag London 2005
The information of publication is updating

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taneously. Recent research on the intelligent diagnosis of diseases is mainly focus on disease identification. However, how to detect lesion location is still a difficult problem which is of great significance. In medicine, lesion localization is required by the treatment of many diseases. Lesion lo
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is employed. The BER performance of TR-UWB systems with and without TiR technology are investigated respectively, and the results imply that the SNR of TR-UWB system is improved about 10dB in multi-path channel with TiR pre-filter than that without TiR pre-filter whilst BER=1E-3. The impacts of the
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conventional algorithms rely on carefully designed initializations, and the parameters can not be tuned adaptively during iterations with corresponding to various real-world data. To settle these problems, we propose an alternating Bregman network (ABN), which discriminatively learns all the parame
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Book 2005cessing and computer graphics....This book details the mathematical fundamentals of the lifting transform and illustrates the latest applications of the transform in signal and image processing, numerical analysis, scattering data smoothing and rendering of computer images..
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Book 2005its scale....First generation wavelets have proved useful in many applications in engineering and computer science. However they cannot be used with non-linear, data-adaptive decompositions and non-equispaced data...Second Generation Wavelets and Applications introduces "second generation wavelets"
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ns that divide data into different frequency components, and then study each component with a resolution matched to its scale....First generation wavelets have proved useful in many applications in engineering and computer science. However they cannot be used with non-linear, data-adaptive decomposi
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