The Hilbert transform and raised-cosine filter, staples of signal processing for decades, are no longer just textbook concepts—they are driving innovation in quantum computing, neural networks, and ...
Abstract: Random Fourier Features (RFF) are widely employed in machine learning to approximate kernel functions with low-dimensional feature mappings, effectively reducing computational cost and ...
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