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Distributed consensus is an important class of distributed algorithms and has attracted great interests in recent years in multi-agent systems, but it introduces a new security issue that adversarial agents may manipulate false information to disrupt the correct operation of consensus process of the whole network. This paper institutes the resilient consensus problem of multi-agent networks under...
A robust reduced-rank adaptive beamforming method based on the joint iterative optimization direction-adaptive (JIO-DA) scheme is developed for the large array scenarios based on the linear constraint minimum variance (L-CMV) criterion. The JIO-DA scheme jointly optimizes a reduced-rank filter and a transforming matrix. The columns of the transforming matrix are considered as direction vectors and...
The compressive sensing (CS) theory has shown that sparse signals can be reconstructed exactly from much fewer measurements than traditionally believed. What's more, using ℓp-norm minimization with p < 1 can do so with much fewer measurements than with p=1. In this paper, a novel algorithm is proposed for computing local minima of the nonconvex problem in the block-sparse system. A series of experiments...
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