The Dual Graph Shift Operator: Identifying the Support of the Frequency Domain
The Dual Graph Shift Operator: Identifying the Support of the Frequency Domain
复制标题
对偶图移位算子:识别频域的支持
DOI:
10.1007/s00041-021-09850-1
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发表时间:
2021
影响因子:
1.2
通讯作者:
Marques, Antonio G.
中科院分区:
文献类型:
--
作者:
Leus, Geert;Segarra, Santiago;Ribeiro, Alejandro;Marques, Antonio G.
Contemporary data is often supported by an irregular structure, which can be conveniently captured by a graph. Accounting for this graph support is crucial to analyze the data, leading to an area known as graph signal processing (GSP). The two most important tools in GSP are the graph shift operator (GSO), which is a sparse matrix accounting for the topology of the graph, and the graph Fourier transform (GFT), which maps graph signals into a frequency domain spanned by a number of graph-related Fourier-like basis vectors. This alternative representation of a graph signal is denominated the graph frequency signal. Several attempts have been undertaken in order to interpret the support of this graph frequency signal, but they all resulted in a one-dimensional interpretation. However, if the support of the original signal is captured by a graph, why would the graph frequency signal have a simple one-dimensional support? Departing from existing work, we propose an irregular support for the graph frequency signal, which we coin dual graph. A dual GSO leads to a better interpretation of the graph frequency signal and its domain, helps to understand how the different graph frequencies are related and clustered, enables the development of better graph filters and filter banks, and facilitates the generalization of classical SP results to the graph domain.
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影响因子:
1.2
作者:
Cloninger, Alexander;Li, Haotian;Saito, Naoki
通讯作者:
Saito, Naoki
DOI:
10.1109/ssp.2018.8450808
发表时间:
2018
期刊:
2018 IEEE Statistical Signal Processing Workshop (SSP)
影响因子:
--
作者:
N. Saito
通讯作者:
N. Saito
DOI:
10.1109/tsipn.2017.2731051
发表时间:
2017-09-01
影响因子:
3.2
作者:
Segarra, Santiago;Marques, Antonio G.;Ribeiro, Alejandro
通讯作者:
Ribeiro, Alejandro
影响因子:
14.9
作者:
Mateos, Gonzalo;Segarra, Santiago;Ribeiro, Alejandro
通讯作者:
Ribeiro, Alejandro
DOI:
--
发表时间:
2016
期刊:
Asilomar Conference on Signals, Systems and Computers
影响因子:
--
作者:
Oguzhan Teke;P. Vaidyanathan
通讯作者:
P. Vaidyanathan