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Handling finite length signals borders in two-channel multirate filter banks for perfect reconstruction

机译:在两通道多速率滤波器组中处理有限长度的信号边界,以实现完美的重建

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Perfect reconstruction multirate filter banks theory was built on the assumption of infinite length signals. For processing limited support signals, e.g. an image, discontinuities exist at the signal border. The problem of which values to use at these boundaries cannot be ignored if perfect reconstruction is required. This paper presents our own investigation into the different techniques adopted to deal with this problem. It shows precisely what type of borders management should be applied and especially how, according to the underlying constraints to ensure perfect reconstruction two-channel multirate filter banks implementation on finite length signals with a zero-delay transfer function. This gives numerically the minimum number of extra samples to be added at the signal's and subband's edges; a vital issue for many filter-banks-based architectures like with the discrete wavelet transform (DWT). (C) 2005 Elsevier B.V. All rights reserved.
机译:完美重建多速率滤波器组理论是建立在无限长信号假设的基础上的。用于处理有限的支持信号,例如一幅图像,信号边界处存在不连续性。如果需要完美的重建,则不能忽略在这些边界处使用哪些值的问题。本文介绍了我们自己对采用不同技术来解决此问题的研究。它准确显示了应应用哪种类型的边界管理,尤其是如何根据潜在的约束条件来确保对具有零延迟传递函数的有限长度信号进行完美重构的两通道多速率滤波器组实现。这从数字上给出了要在信号和子带边缘添加的最小额外样本的最小数量;对于许多基于滤波器组的架构(例如离散小波变换(DWT))而言,这是一个至关重要的问题。 (C)2005 Elsevier B.V.保留所有权利。

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