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The Lifting Scheme for Wavelet Bi-Frames: Theory, Structure, and Algorithm

机译:小波双帧提升方案:理论,结构和算法

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In this paper, we present the lifting scheme of wavelet bi-frames along with theory analysis, structure, and algorithm. We show how any wavelet bi-frame can be decomposed into a finite sequence of simple filtering steps. This decomposition corresponds to a factorization of a polyphase matrix of a wavelet bi-frame. Based on this concept, we present a new idea for constructing wavelet bi-frames. For the construction of symmetric bi-frames, we use generalized Bernstein basis functions, which enable us to design symmetric prediction and update filters. The construction allows more efficient implementation and provides tools for custom design of wavelet bi-frames. By combining the different designed filters for the prediction and update steps, we can devise practically unlimited forms of wavelet bi-frames. Moreover, we present an algorithm of increasing the number of vanishing moments of bi-framelets to arbitrary order via the presented lifting scheme, which adopts an iterative algorithm and ensures the shortest lifting scheme. Several construction examples are given to illustrate the results.
机译:在本文中,我们提出了小波双帧的提升方案以及理论分析,结构和算法。我们展示了如何将任何小波双帧分解为简单滤波步骤的有限序列。该分解对应于小波双帧的多相矩阵的分解。基于此概念,我们提出了一种构造小波双帧的新思路。对于对称双帧的构造,我们使用广义的Bernstein基函数,这使我们能够设计对称预测和更新滤波器。该构造允许更有效的实现,并提供用于小波双帧定制设计的工具。通过将不同设计的滤波器组合用于预测和更新步骤,我们可以设计出几乎不受限制的小波双帧形式。此外,我们提出了一种通过提出的提升方案将双帧消失力矩的数量增加到任意阶的算法,该算法采用迭代算法并确保最短的提升方案。给出了几个构造示例来说明结果。

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