Abstract: This letter develops a power method-based algorithm for tracking generalized eigenvectors when stochastic signals having unknown correlation matrices are observed. The proposed approach is ...

Abstract: In this paper, we investigate the downlink (DL) precoder design in coordinated multi-point joint transmission massive multiple-input multiple-output systems. The DL precoder design problem ...

Generalized Perron Cluster Cluster Analysis program to coarse-grain reversible and non-reversible Markov state models. Markov state models (MSM) enable the identification and analysis of metastable ...

Eigenvectors are used throughout the physical and social sciences to reduce the dimension of complex problems to manageable levels and to distinguish signal from noise. Our research identifies and ...

Three physicists wanted to calculate how neutrinos change. They ended up discovering an unexpected relationship between some of the most ubiquitous objects in math. After breakfast one morning in ...

With the increasing use of functional brain network properties as markers of brain disorders, efficient visualization and evaluation methods have become essential. Eigenvector centrality mapping (ECM) ...

The proper functioning of many sociotechnical systems depends on their level of connectivity. By removing or deactivating a specific set of nodes, a network structure can be dismantled into isolated ...

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