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Correntropy induced metric (CIM) criterion has been extensively studied for measuring the sparsity property of the in-nature sparse signals. In this paper, a CIM constrained l2–lp (CIM-L2LP) adaptive filtering algorithm is proposed and its convergence analysis is given in detail. By using a CIM penalty, the CIM-L2LP algorithm achieves improved convergence speed while it maintains a lower steady state...
A sparsity-aware proportionate normalized maximum correntropy criterion (PNMCC) algorithm with lp-norm penalty, which is named as lp-norm constraint PNMCC (LP-PNMCC), is proposed and its crucial parameters, convergence speed rate and steady-state performance are discussed via estimating a typical sparse multipath channel and an typical echo channel. The LP-PNMCC algorithm is realized by integrating...
The rapid development of the theory and application makes it imperative to find the best strategies to improve the energy efficiency of wireless sensor networks. In this paper, we address the following question: given a multi-to-one wireless sensor network in physical space, what is the optimal routing strategy to enable the energy-efficiency of the network with regard to a given mission and a certain...
Computed tomography technology has wide applications in industrial non-destructive tests, medical fields, and public security. In practice, incomplete projection is often acquired because of limitations on the detection environment, time and cost. Iterative reconstruction algorithm has a major potential to achieve superior results on the reconstruction with incomplete projection data. In this paper,...
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