Abstract: Deep learning networks have been widely used in sparse array optimization in recent years. However, these networks are designed for a single sparsity rate, which makes them unsuitable for ...
Abstract: Localizing more sources than sensors with a sparse linear array (SLA) has long relied on minimizing a distance between two covariance matrices and recent algorithms often utilize ...
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