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Compressive sensing (CS) shows that, when a signal is sparse or compressible with respect to some basis, a small number of compressive measurements of the original signal can be sufficient for exact (or approximate) recovery. Distributed CS (DCS) takes advantage of both intra- and intersignal correlation structures to reduce the number of measurements required for multisignal recovery. In most cases...
This paper proposes a constrained iterative optimal approach to estimate traffic matrix, namely all origin-destination traffic, in a large-scale backbone network. Based on the modified principal component analysis method, we denote traffic matrix estimation problem into an iterative optimal process under the constraints followed by it. In each iterative step, the covariance matrix of traffic matrix...
A novel control strategy is developed which is used to control both the rigid body and the first flexural mode of vibration in a single link robotic arm. The fuzzy control, neighborhood clustering algorithm and the variable regressive estimation technology is used in the control strategy. It overcomes the defects of the conventional control methods such as the strong dependence to the system, difficulty...
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