补偿擦除的双帧--非正则案例

IF 1.7 3区 数学 Q2 MATHEMATICS, APPLIED
Ljiljana Arambašić, Diana Stoeva
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引用次数: 0

摘要

本文研究了从有擦除的帧系数中恢复信号的问题。从一个帧 \((x_n)_{n=1}^\infty \) 及其任意对偶帧开始,我们给出了构建 \((x_n)_{n\in E^c}\) 对偶帧的充分条件,从而可以从保留的帧系数中获得完美的重构。这项工作的灵感来自于使用 \((x_n)_{n=1}^\infty \) 的典型对偶框架的方法,然而这些方法并不能自动扩展到用另一个对偶框架替换典型对偶框架的情况。我们研究了起始对偶帧是经典对偶帧和不是经典对偶帧时的区别。我们还给出了几种计算简化框架对偶的方法,其中我们最感兴趣的是计算这种对偶框架的迭代程序。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Dual frames compensating for erasures—a non-canonical case

In this paper, we study the problem of recovering a signal from frame coefficients with erasures. Suppose that erased coefficients are indexed by a finite set E. Starting from a frame \((x_n)_{n=1}^\infty \) and its arbitrary dual frame, we give sufficient conditions for constructing a dual frame of \((x_n)_{n\in E^c}\) so that the perfect reconstruction can be obtained from the preserved frame coefficients. The work is motivated by methods using the canonical dual frame of \((x_n)_{n=1}^\infty \), which however do not extend automatically to the case when the canonical dual is replaced with another dual frame. The differences between the cases when the starting dual frame is the canonical dual and when it is not the canonical dual are investigated. We also give several ways of computing a dual of the reduced frame, among which we are the most interested in the iterative procedure for computing this dual frame.

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来源期刊
CiteScore
3.00
自引率
5.90%
发文量
68
审稿时长
3 months
期刊介绍: Advances in Computational Mathematics publishes high quality, accessible and original articles at the forefront of computational and applied mathematics, with a clear potential for impact across the sciences. The journal emphasizes three core areas: approximation theory and computational geometry; numerical analysis, modelling and simulation; imaging, signal processing and data analysis. This journal welcomes papers that are accessible to a broad audience in the mathematical sciences and that show either an advance in computational methodology or a novel scientific application area, or both. Methods papers should rely on rigorous analysis and/or convincing numerical studies.
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