编织k型框架的新方面:过剩和二元性

IF 0.7 4区 数学 Q2 MATHEMATICS
Elahe AGHESHTEH MOGHADDAM, A. Arefijamaal
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引用次数: 0

摘要

最近,Bemrose等人引入了可分离希尔伯特空间中的编织框架来处理分布式信号处理和无线传感器网络中的一些问题。同样,在有界线性算子k的范围内重构信号时,编织k -框也被证明是有用的。在本文中,我们研究了编织的概念及其与k -框对偶性的联系,并构造了几对编织k -框。同时,对于每一个K- riesz基,我们找到了一个唯一的双正交序列,并得到了一个由K^*$对偶织成的$K^*$-框架。此外,我们还描述了k帧的超量,并证明了在可分Hilbert空间中任意两个编织的k帧具有相同的超量。最后,给出了可逆算子下的k -帧及其像具有相同过剩的充分必要条件。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
New aspects of weaving K-frames: the excess and duality
Weaving frames in separable Hilbert spaces have been recently introduced by Bemrose et al. to deal with some problems in distributed signal processing and wireless sensor networks. Likewise weaving K-frames have been proved to be useful during signal reconstructions from the range of a bounded linear operator K. In this paper, we study the notion of weaving and its connection to the duality of K-frames and construct several pairs of woven K-frames. Also, we find a unique biorthogonal sequence for every K-Riesz basis and obtain a $K^*$-frame which is woven by its canonical dual. Moreover, we describe the excess for K-frames and prove that any two woven K-frames in a separable Hilbert space have the same excess. Finally, we introduce the necessary and sufficient condition under which a K-frame and its image under an invertible operator have the same excess.
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来源期刊
CiteScore
1.70
自引率
0.00%
发文量
100
审稿时长
6-12 weeks
期刊介绍: Hacettepe Journal of Mathematics and Statistics covers all aspects of Mathematics and Statistics. Papers on the interface between Mathematics and Statistics are particularly welcome, including applications to Physics, Actuarial Sciences, Finance and Economics. We strongly encourage submissions for Statistics Section including current and important real world examples across a wide range of disciplines. Papers have innovations of statistical methodology are highly welcome. Purely theoretical papers may be considered only if they include popular real world applications.
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