Abstract: This paper introduces FMCNN, a novel classification method that combines a two-dimensional feature matrix capturing raw data characteristics with a CNN-based classifier. Raw data are the ...
Abstract: The random matrix model provides a straightforward and low-complexity algorithm, making it a promising solution for extended target tracking and shape estimation. However, the random matrix ...
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