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Showing 1 to 1 of 1 for “"Sparsity regularization"”.
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Localized Kernel Methods for Signal Processing
… and neither requires subspace decomposition or sparsity regularization. Experimental results confirm the robustness and tractability of the proposed approaches across a range of simulated data conditions. Potential extensions include application to nonlinear chirps, adaptive kernel design, and …