论文标题
部分可观测时空混沌系统的无模型预测
Remarks on scalable frames
论文作者
论文摘要
本文研究了$ {\ Mathbb r}^n $中的可扩展框架。我们定义帧的还原图矩阵，并使用它在某些条件下对框架的可伸缩性进行分类。我们通过将问题分为两个较小的方法来为缩放问题提供新的方法，每个问题都可以易于解决，从而提供了一种简单的检查缩放方法。最后，我们研究双帧的可伸缩性。
This paper investigates scalable frame in ${\mathbb R}^n$. We define the reduced diagram matrix of a frame and use it to classify scalability of the frame under some conditions. We give a new approach to the scaling problem by breaking the problem into two smaller ones, each of which is easily solved, giving a simple way to check scaling. Finally, we study the scalability of dual frames.
