二叉树上同构投影的特征空间方法
An eigenspace approach to isotypic projections for data on binary trees
摘要:
经典的傅里叶变换本质上是一种获取数据并提取在循环移位下不变的分量(以复指数的形式)的方法。我们考虑的情况下,而不是组件必须是不变的自同构的二叉树。我们提出了一种技术,在这种情况下,一个稍微放松的形式的广义傅里叶变换,最终可以计算仅使用简单的工具,从线性代数,这在计算效率有可能的优势。
英文摘要:
The classical Fourier transform is, in essence, a way to take data and extract components (in the form of complex exponentials) which are invariant under cyclic shifts. We consider a case in which the components must instead be invariant under automorphisms of a binary tree. We present a technique by which a slightly relaxed form of the generalized Fourier transform in this case can eventually be computed using only simple tools from linear algebra, which has possible advantages in computational efficiency.
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