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näkemys - Graph Signal Processing
Online Signal Estimation on the Graph Edges via Line Graph Transformation
Online Vorhersage von Graphenkanten-Signalen durch Line-Graph-Transformation.
그래프 주파수 영역에서의 주성분 분석: 다변량 그래프 신호 차원 축소를 위한 새로운 접근 방식
본 논문에서는 그래프 구조를 고려하면서 다변량 그래프 신호의 차원을 효과적으로 줄이는 새로운 주성분 분석 방법을 제안합니다.
Fourier Analysis of Signals on Directed Acyclic Graphs Using Graph Zero-Padding: Enabling Spectral Analysis While Preserving System Output
This paper introduces a novel graph zero-padding technique to enable Fourier analysis on directed acyclic graphs (DAGs) while preserving the output of graph filters, addressing the limitation of traditional methods that alter the graph's structure and impact system behavior.
Adaptive Joint Estimation of Time-Varying Vertex and Edge Signals on Graphs
The authors propose a novel algorithm called Adaptive Joint Vertex-Edge Estimation (AJVEE) for jointly and adaptively estimating time-varying signals on both vertices and edges of a graph, addressing the limitations of existing methods that primarily focus on static signals or only one type of signal.