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On sparse multimode zero forcing transceivers

2015 IEEE International Conference on Digital Signal Processing (DSP), 2015
This paper introduces sparse multimode zero forcing transceivers in which a combination of l 1 -norm minimization and the Farrow structure allows efficient low-cost channel equalization. Specifically, the Farrow structure (i) realizes multimode pulse shaping filters, and (ii) equalizes the amplitude distortion. The phase distortion is equalized using a
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Zero forcing of generalized hierarchical products

Discrete Applied Mathematics
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Sarah E. Anderson, Brenda K. Kroschel
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Gravity as a zero-point-fluctuation force

Physical Review A, 1989
Sakharov has proposed a suggestive model in which gravity is not a separately existing fundamental force, but rather an induced effect associated with zero-point fluctuations (ZPF's) of the vacuum, in much the same manner as the van der Waals and Casimir forces.
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Failed zero forcing

Given a graph G, a set S ⊆ V (G) is called a zero forcing set if repeatedly applying the following colour change rule results in all vertices of G being coloured black: if a black vertex v has exactly one white neighbour u, then u becomes black. The zero forcing number Z(G) is the size of the smallest zero forcing set of G.
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On Zero Forcing Number of Permutation Graphs

2012
Zero forcing number, Z(G), of a graph G is the minimum cardinality of a set S of black vertices (whereas vertices in \(V(G)\!\setminus\!S\) are colored white) such that V(G) is turned black after finitely many applications of “the color-change rule”: a white vertex is converted black if it is the only white neighbor of a black vertex.
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Computational approaches for zero forcing and related problems

European Journal of Operational Research, 2019
Boris Brimkov, Illya V Hicks
exaly  

Positive semidefinite zero forcing

Linear Algebra and Its Applications, 2013
Craig Erickson   +2 more
exaly  

Some bounds on the zero forcing number of a graph

Discrete Applied Mathematics, 2018
Michael Gentner, Dieter Rautenbach
exaly  

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