A differentiable fractional Fourier transform (FRFT) implementation with layers that can be trained end-to-end with the rest of the network. This package provides implementations of both fast ...
Department of Chemistry and Biochemistry, University of California Santa Barbara, Santa Barbara, California 93106, United States Center for Bioengineering, University of California Santa Barbara, ...
A pair of fuzzy bald eagle chicks are close to reaching a major milestone in their lives, with signs that they are preparing for their first flight out of the nest since they hatched earlier this year ...
Abstract: The Fast Fourier Transform (FFT) is a foundational algorithm widely used in fields like digital signal processing and machine learning. While High-Level Synthesis (HLS) tools have boosted ...
The multi-billion dollar Fast and Furious franchise started rather humbly 25 years ago with The Fast and the Furious, an action film about illegal street racing, an undercover cop with a crush, and a ...
Abstract: In this paper, we propose a differentiable version of the short-time Fourier transform (STFT) that allows for gradient-based optimization of the hop length or the frame temporal position by ...
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