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Abstract: This article presents a novel approach to solving the sparsity-constrained Orthogonal Nonnegative Matrix Factorization (SCONMF) problem, which decomposes a non-negative data matrix into two ...

The Matrix universe is waking up again, and this time the questions feel bigger than ever. With familiar faces returning, the line between reality and control starts to blur in new ways. This chapter ...

Abstract: The non-orthogonal matrix precoding (NOM-p) is proposed to avoid signal-to-noise ratio dips in discrete-Fourier-transform spread (DFT-s) orthogonal frequency division multiplexing (OFDM) ...