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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 maximum correntropy criterion (MCC) algorithm with a flexible zero attractor is proposed, whose estimation performance is investigated for estimating a multi-path channel in mixed Gaussian environment. The proposed algorithm is denoted as flexible zero attraction MCC (FZA-MCC), in which the flexible zero attractor (FZA) is implemented by an approximation parameter adjustment function. The estimation...
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...
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