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Product Integral Binding Coefficients for High-order Wavelets

机译:高阶小波的产品积分绑定系数

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This paper provides an efficient algorithm to calculate product integral binding coefficients for a heterogeneous mix of wavelet bases. These product integrals are ubiquitous in multiple applications such as signal processing and rendering. Previous work has focused on simple Haar wavelets. Haar wavelets excel at encoding piecewise constant signals, but are inadequate for compactly representing smooth signals for which high-order wavelets are ideal. Our algorithm provides an efficient way to calculate the tensor of these binding coefficients. The algorithm exploits both the hierarchical nature and vanishing moments of the wavelet bases, as well as the sparsity and symmetry of the tensor. We demonstrate the effectiveness of high-order wavelets with a rendering application. The smoother wavelets represent the signals more effectively and with less blockiness than the Haar wavelets of previous techniques.
机译:本文提供了一种有效的算法,用于计算小波碱的非均相混合的产品积分绑定系数。 这些产品积分在多种应用中无处不在,例如信号处理和渲染。 以前的工作专注于简单的哈尔小波。 HAAR小波Excel在编码分段恒定信号时,但对于紧凑的表示较好的信号是不充分的,对于哪个高阶小波是理想的。 我们的算法提供了计算这些绑定系数的张量的有效方法。 该算法利用小波底座的分层性质和消失的矩,以及张量的稀疏性和对称性。 我们展示了具有渲染应用的高阶小波的有效性。 更平滑的小波更有效地表示信号,并且比以前技术的HAAR小波更少的储备。

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