Orthonormal quadratic B-spline wavelet bases family on an irregular sampling partition

Anissa Zergaïnoh-Mokraoui, N. Chihab, P. Duhamel, J. Astruc
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Abstract

This paper is devoted to the construction of orthonormal wavelet bases family in the multiresolution orthogonal decomposition context. The study is carried out within the framework where the signal sample positions are known but not equally spaced. The scaling basis in this multiresolution approach is generated from quadratic non- uniform B-spline functions. We impose a multiplicity of order three on each sequence knot. We show that the wavelet and the scaling functions, are not deduced from a unique prototype function which is dilated and translated as in the traditional multiresolution scheme. The filter coefficients are not constants any more at different scales. They depend closely on the sample positions on the sequence. This approach can be used to interpolate irregularly sampled signals in an efficient way, by keeping the multiresolution approach.
不规则采样分区上的正交二次b样条小波基族
研究了多分辨率正交分解中正交小波基族的构造问题。该研究是在信号样本位置已知但间隔不等的框架内进行的。该多分辨率方法的标度基由二次非均匀b样条函数生成。我们对每个序列结施加3阶的多重性。我们证明了小波和尺度函数不是由一个独特的原型函数推导出来的,而在传统的多分辨率方案中,这个原型函数是被展开和平移的。在不同尺度下,滤波系数不再是常数。它们密切依赖于样本在序列上的位置。该方法在保持多分辨率的前提下,可以有效地对不规则采样信号进行插值。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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