Abstract: Sparse linear arrays (SLAs) offer advantages in reducing hardware costs and complexity but pose challenges for traditional signal processing algorithms requiring a complete covariance matrix ...

Abstract: Recently, the rank approximation has been highly effective in the matrix rank minimization problem, whose purpose is to recover potential elements from the observation matrix and maintain a ...

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Despite significant mathematical refinements, econometrics has shown the weaknesses of its logical underpinnings, primarily during economic turning points—financial crises, pandemics, and geopolitical ...

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