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首页> 外文期刊>IEEE Transactions on Signal Processing >Armlets and Balanced Multiwavelets: Flipping Filter Construction
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Armlets and Balanced Multiwavelets: Flipping Filter Construction

机译:臂章和平衡多小波:翻转滤波器构造

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摘要

In the scalar-valued setting, it is well-known that the two-scale sequences {q_(k)} of Daubechies orthogonal wavelets can be given explicitly by the two-scale sequences {p_(k)} of their corresponding orthogonal scaling functions, such as q_(k) velence (-1)~(k)p_(1-k). However, due to the noncommutativity of matrix multiplication, there is little such development in the multiwavelet literature to express the two-scale matrix sequence {Q_(k)} of an orthogonal multi-wavelet in terms of the two-scale matrix sequence {P_(k)} of its corresponding scaling function vector. This paper, in part, is devoted to this study for the setting of orthogonal multiwavelets of dimension r velence 2. In particular, the two lowpass filters are flipping filters, whereas the two highpass filters are linear phase. These results will be applied to constructing both a family of the most recently introduced notion of armlet of order n and a family of n-balanced orthogonal multiwavelets.
机译:在标量值设置中,众所周知,可以通过Daubechies正交小波的两个尺度序列{p_(k)}明确给出其正交尺度函数的两个尺度序列{q_(k)} ,例如q_(k)velence(-1)〜(k)p_(1-k)。然而,由于矩阵乘法的不交换性,在多小波文献中很少有这样的发展来用两尺度矩阵序列{P_来表示正交多小波的两尺度矩阵序列{Q_(k)}。 (k)}其相应的缩放函数向量。本文部分致力于此研究,以设置维度旅行2的正交多小波。特别是,两个低通滤波器是翻转滤波器,而两个高通滤波器是线性相位。这些结果将被用于构建n阶小臂的最新引入的族和n平衡正交多小波的族。

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