Results 1 to 10 of about 8,223,685 (372)
Sampling and Reconstruction of Graph Signals via Weak Submodularity and Semidefinite Relaxation [PDF]
We study the problem of sampling a bandlimited graph signal in the presence of noise, where the objective is to select a node subset of prescribed cardinality that minimizes the signal reconstruction mean squared error (MSE).
Hashemi, Abolfazl +3 more
core +2 more sources
Improvements on SCORE, Especially for Weak Signals [PDF]
A network may have weak signals and severe degree heterogeneity, and may be very sparse in one occurrence but very dense in another. SCORE (Jin, 2015) is a recent approach to network community detection. It accommodates severe degree heterogeneity and is adaptive to different levels of sparsity, but its performance for networks with weak signals is ...
Jin, Jiashun +2 more
openaire +3 more sources
The Recovery of Weak Impulsive Signals Based on Stochastic Resonance and Moving Least Squares Fitting [PDF]
In this paper a stochastic resonance (SR)-based method for recovering weak impulsive signals is developed for quantitative diagnosis of faults in rotating machinery.
Kuosheng Jiang, Guanghua Xu, Tangfei Tao
exaly +3 more sources
Information capacity in the weak-signal approximation [PDF]
We derive an approximate expression for mutual information in a broad class of discrete-time stationary channels with continuous input, under the constraint of vanishing input amplitude or power. The approximation describes the input by its covariance matrix, while the channel properties are described by the Fisher information matrix.
Lubomir Kostal
openalex +5 more sources
Interception of Signals With Very Weak SINR
To protect our receivers against spoofing, intrusion or simply reduce interference, we proposed a multi-layered architecture which can be integrated into a receiver chain by modifying the analog and digital parts.
Ali Mansour, Christophe Osswald
doaj +2 more sources
Weak Signals concept in Futures Studies [PDF]
Surprise prevention is one of the essential and critical functions of the Future Studies and focusing on the detection and analysis of Weak Signal(s) can effectively help us reach this important goal.
Abouzar Seifi Kalestan +1 more
doaj +1 more source
History and Modern Landscape of Futures Studies
The challenges the futures studies face are particularly complex, interconnected, and contradictory, and cannot be resolved using linear approaches. Prognostic science needs tools matching the new contextual complexity, which would allow to capture a ...
Marina Boykova +2 more
doaj +1 more source
Coreceptors and TCR Signaling – the Strong and the Weak of It [PDF]
The T-cell coreceptors CD4 and CD8 have well-characterized and essential roles in thymic development, but how they contribute to immune responses in the periphery is unclear. Coreceptors strengthen T-cell responses by many orders of magnitude - beyond a million-fold according to some estimates - but the mechanisms underlying these effects are still ...
Alexander M. Mørch +8 more
openaire +3 more sources
The Competency Niche: An Exploratory Study
In the era of a turbulent and less-predictable business environment, as confirmed by the COVID-19 pandemic, the ability to efficiently use human resources has become particularly important.
Zbysław Dobrowolski +2 more
doaj +1 more source
Detection Line Spectrum of Ship Radiated Noise Based on a New 3D Chaotic System
This paper proposes a new detection model of a weak signal based on a third-order chaotic system. Using a dynamic analysis tool, such as the Lyapunov exponent and the bifurcation diagram, variations of dynamic behavior can be observed, and the weak ...
Gang Hu, Kejun Wang, Liangliang Liu
doaj +1 more source

