Changhao Shi,Gal Mishne
Changhao Shi
Graph signal processing (GSP) is a prominent framework for analyzing signals on non-Euclidean domains. The graph Fourier transform (GFT) uses the combinatorial graph Laplacian matrix to reveal the spectral decomposition of signals in the gr...
Inhomogeneous graph trend filtering via a [Formula: see text] -norm cardinality penalty [0.03%]
非均匀图趋势过滤的卡方基数惩罚方法
Xiaoqing Huang,Andersen Ang,Kun Huang et al.
Xiaoqing Huang et al.
We study estimation of piecewise smooth signals over a graph. We propose a ℓ 2,0 -norm penalized Graph Trend Filtering (GTF) model to estimate piecewise smooth graph signals that exhibit inhomogeneous levels of smoothness across th...
Rohan Varma,Harlin Lee,Jelena Kovačević et al.
Rohan Varma et al.
This work studies the denoising of piecewise smooth graph signals that exhibit inhomogeneous levels of smoothness over a graph, where the value at each node can be vector-valued. We extend the graph trend filtering framework to denoising ve...
Gal Mishne,Ronen Talmon,Israel Cohen et al.
Gal Mishne et al.
We consider the analysis of high dimensional data given in the form of a matrix with columns consisting of observations and rows consisting of features. Often the data is such that the observations do not reside on a regular grid, and the g...