Abstract: We introduce a novel uncertainty principle for generalized graph signals that extends classical time-frequency and graph uncertainty principles into a unified framework. By defining joint ...

This resource revises linear functions, graphs and equations and within linear functions, graphs and equations there are 3 key concepts: To determine if this resource will benefit you, start by ...

For example, in point cloud denoising, NR-PCQA results can be benchmarks for determining the optimal parameters when reference data are unavailable. This paper presents an accurate and fast NR-PCQA ...

Specifically, we use measures of generalized partial directed coherence (GPDC) and direct directed transfer function (dDTF) to construct the input features to the ML model. The latter allows the ...