This paper proposes M-channel oversampled filter banks for graph signals. The filter set
satisfies the perfect reconstruction condition. A method of designing oversampled graph filter …

We describe a method of oversampling signals defined on a weighted graph by using an
oversampled graph Laplacian matrix. The conventional method of using critically sampled …

We consider the problem of selecting optimal sensor placements. The proposed approach is
based on the sampling theorem of graph signals. We choose sensors that maximize the …

Current formulations of critically-sampled graph wavelet filterbanks work only for bipartite
graphs where downsampling signals on either partition leads to a spectrum folding …

In this chapter, oversampled transforms for graph signals are introduced. Oversampling is
done in two ways: One is oversampled graph Laplacian and the other is oversampled graph …

针对现有的M 通道过采样图滤波器组整体性能较差的问题, 该文提出一种过采样图滤波器组设计
的新算法. 在新算法中, 分两步来设计图滤波器组. 首先, 从频谱特性方面考虑来设计分析滤波器 …

The representation, processing and analysis of large-scale data as signals defined over
graphs has drawn much interest recently. Graphs allow us to embed natural inter …

This paper presents an efficient algorithm to design M-channel oversampled graph filter
banks with better overall performance. In the new algorithm, a two-step scheme is exploited …

(OSGFBs) have been constructed on graph theory for signal processing in [1]-[7]. This paper
introduces a new image fusion for medical images in OSGFBs. Images are decomposed to …

抄録 定義域を時間軸上に持つ通常の信号に対しては, 信号の有する周波数特性の解明が研究の
中心である. 例えばフーリエ変換は, 周波数領域へと信号を射影した際の周波数成分 …