Abstract: This study presents a DOA estimation method without angular ambiguity using a transformed covariance matrix differencing approach, with the aim of mitigating the impact of the correlation ...
Abstract: This study addresses the problem of convolutional kernel learning in univariate, multivariate, and multidimensional time series data, which is crucial for interpreting temporal patterns in ...
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