Results 61 to 70 of about 4,180,610 (156)
Advanced techniques on multirate signal processing for digital information processing [PDF]
Multirate signal processing has become a key topic enabling efficient techniques for digital information processing in a variety of applications such as digital transceivers s for wireless as well as satellite communication systems, digital broadcasting,
Massimiliano Laddomada +2 more
core
Graph Neural Network Sensitivity Under Probabilistic Error Model
Publisher Copyright: © 2022 European Signal Processing Conference, EUSIPCO. All rights reserved.Graph convolutional networks (GCNs) can successfully learn the graph signal representation by graph convolution.
Wang, Xinjue +2 more
core
Does digital surveillance boost citizen compliance? Evidence from China
Abstract Authoritarian regimes increasingly deploy digital surveillance to monitor citizens, but how this affects citizen compliance remains understudied. We argue that, beyond repressing or deterring regime opponents, digital surveillance serves as an instrument of everyday governance that operates through psychological mechanisms rather than direct ...
Dakeng Chen, Jing Vivian Zhan
wiley +1 more source
Optimized Quantization in Distributed Graph Signal Processing [PDF]
Distributed graph signal processing methods require that the graph nodes communicate by exchanging messages. These messages have a finite precision in a realistic network, which may necessitate to implement quantization.
Pascal Frossard +3 more
core +2 more sources
A generalisation of Cameron's base size conjecture
Abstract Let G⩽Sym(Ω)$G\leqslant {\rm Sym}(\Omega)$ be a finite transitive permutation group with point stabiliser H$H$. A base for G$G$ is a subset of Ω$\Omega$ whose pointwise stabiliser is trivial, and the minimal cardinality of a base is called the base size of G$G$, denoted by b(G,Ω)$b(G, \Omega)$. Equivalently, b(G,Ω)$b(G, \Omega)$ is the minimal
Marina Anagnostopoulou‐Merkouri
wiley +1 more source
Statistical Graph Signal Processing: Stationarity and Spectral Estimation
Stationarity is a cornerstone property that facilitates the analysis and processing of random signals in the time domain. Although time-varying signals are abundant in nature, in many contemporary applications the information of interest resides in more ...
Segarra, Santiago (author) +3 more
core +1 more source
Reversal of economic integration: evidence from European Union enlargement
Abstract Empirical models of trade agreements implicitly assume that withdrawal from a trade agreement has an equal and opposite trade effect as accession (i.e., symmetry). With increasing opposition to international economic cooperation, it becomes urgent to test this assumption.
Hinnerk Gnutzmann +2 more
wiley +1 more source
Statistical graph signal processing
This study provides an insight into the application of different filters in Graph Signal Processing (GSP) on different datasets. First, a comprehensive overview of GSP-related concepts is given, including the derivation of graph signals, the computation ...
Shi, Enbing
core
Graph Spectral Image Processing [PDF]
Recent advent of graph signal processing (GSP) has spurred intensive studies of signals that live naturally on irregular data kernels described by graphs (e.g., social networks, wireless sensor networks).
Cheung, Gene +7 more
core +1 more source
Hybrid WPU coatings with a hierarchical structure are constructed by first directional freezing polymerization of degradable hydrogels with a vertical channel structure and then filling these channels with aqueous WPU solution containing carbon nitride (g‐C3N4) nanosheets.
Xiaobei Zhou +8 more
wiley +1 more source

