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Titlebook: Wavelet Analysis and Its Applications; Second International Yuan Y. Tang,Pong C. Yuen,Victor Wickerhauser Conference proceedings 2001 Sprin

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楼主: fundoplication
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Wavelet-Based Video Compression Using Long-Term Memory Motion-Compensated Prediction and Context-Based prediction and transform coding. Our proposed algorithm involves the incorporation of multi-frame motion compensation as an effective means of improving the quality of the temporal prediction. In addition, we follow the rate-distortion optimizing strategy of using a Lagrangian cost function to di
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Wavelet-Based Video Compression Using Long-Term Memory Motion-Compensated Prediction and Context-Based prediction and transform coding. Our proposed algorithm involves the incorporation of multi-frame motion compensation as an effective means of improving the quality of the temporal prediction. In addition, we follow the rate-distortion optimizing strategy of using a Lagrangian cost function to di
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Wavelets and Fractal Image Compression Based on Their Self—Similarity of the Space-Frequency Plane oncoded images. Various kinds of Wavelet transform are examined for the characteristics of their self-similarity and evaluated for the adoption of Fractal modeling. The aim of this paper is to reduce the information of the two sets of blocks involved in the Fractal image compression by using the self
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An Application of Continuous Wavelet Transform in Differential Equationsral equations by using the continuous wavelet transform; the differential equations and the integral equations are equivalent not only in the weak topology but also in the strong topology; the discussion on the differential equations can be connected with the discussion on the integral equations.
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Characterization of Dirac Edge with New Wavelet Transformto detect them. Three significant characteristics of the local maximum modulus of the wavelet transform with respect to the Dirac-structure edges are presented. By utilizing a novel continuous wavelet, it is proven that the local maxima modulus of such continuous wavelet transform of a Dirac-structu
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Stability of Biorthogonal Wavelet Bases in , ,(,)all remaining eigenvalues of modulus less than one. If the filters are perturbed these eigenvalues must be re-calculated to determine the stability of the new bases — a numerically intensive task. We present a simpler stability criterion. Starting with stable biorthogonal wavelet bases we perturb th
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Characterization of Dirac Edge with New Wavelet Transformto detect them. Three significant characteristics of the local maximum modulus of the wavelet transform with respect to the Dirac-structure edges are presented. By utilizing a novel continuous wavelet, it is proven that the local maxima modulus of such continuous wavelet transform of a Dirac-structu
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