基于小波的信号外推

M. J. Croft, J. Hogan
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引用次数: 3

摘要

在本文中,我们研究了著名的Papoulis和Gerchberg的带限外推过程的小波模拟,以取代带限信号中的丢失信息。重点是离散周期情况。在简要介绍了多分辨率分析、小波子空间和正交镜像滤波器的概念后,讨论了这些思想的相关周期版本。给出了周期情况下采样函数值与sdmg函数系数之间的一种中介方法。给出了可解性准则和具有相应收敛结果的算法解,并通过若干实例进行了计算,验证了这些准则。最后,将该算法应用于多个信号和图像。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Wavelet-based Signal Extrapolation
In this paper, we investigate the wavelet analogue of the well-known bandlimited extrapolation procedure of Papoulis and Gerchberg which replaces lost information from a bandlimited signal. The emphasis is on the discrete periodsed case. After a brief introduction to the notions of multiresolution analysis, wavelet subspaces and quadrature mirror filters, the associated periodised versions of these ideas are discussed. A method of mediating between sampled function values and sdmg function coefficients in the periodised case is gven. Criteria for solvability and an algorithmic solution with corresponding convergence results are stated and calculations made which verify these criteria in a number of examples. Finally, the algorithm is applied to several signals and images.
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