4 accepted papers
In this paper, we propose a sparsity and smoothness regularized model for the estimation of nonnegative power spectral densities (PSDs) of complex-valued random processes from mixtures of realizations. The proposed model is designed to jointly estimate frequency components of the realizations and th…
In this paper, we present a novel convex method for the graph-structured sparse recovery. While various structured sparsities can be represented as the graph-structured sparsity, graph- structured sparse recovery remains to be a challenging non-convex problem. To solve this difficulty, we propose a…
We propose a novel convex penalty for block-sparse signals whose block partitions are unknown a priori. We first introduce a nonconvex penalty function, where the block partition is adjusted for the signal of interest by minimizing the mixed ℓ <inf xmlns:mml="http://www.w3.org/1998/Math/MathML" xmln…
Identification of piecewise continuous Hammerstein systems, which consist of the cascade of memoryless piecewise continuous systems followed by linear systems, is an important problem in engineering. In the identification process, major existing approaches approximate exact minimization of the non-c…