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Balanced multiwavelets theory and design

机译:平衡多小波理论与设计

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This article deals with multiwavelets, which are a generalization of wavelets in the context of time-varying filter banks and with their applications to signal processing and especially compression. By their inherent structure, multiwavelets are fit for processing multichannel signals. This is the main issue in which we are interested. First, we review material on multiwavelets and their links with multifilter banks and, especially, time-varying filter banks. Then, we have a close look at the problems encountered when using multiwavelets in applications, and we propose new solutions for the design of multiwavelets filter banks by introducing the so-called balanced multiwavelets.
机译:本文涉及多小波,它是随时间变化的滤波器组及其背景在信号处理(尤其是压缩)中的通用化。通过其固有的结构,多小波适合处理多通道信号。这是我们感兴趣的主要问题。首先,我们回顾了有关多小波及其与多滤波器组(尤其是时变滤波器组)的链接的材料。然后,我们仔细研究了在应用程序中使用多小波时遇到的问题,并通过引入所谓的平衡多小波,为多小波滤波器组的设计提出了新的解决方案。

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