Amid the chaos of revolutionary France, one man’s mathematical obsession gave way to a calculation that now underpins much of mathematics and physics. The calculation, called the Fourier transform, ...

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 ...

Throughout its history, the country has taken imports and changed them into something else entirely. By Pico Iyer Illustrations by Ilya Milstein A Japanese sentence is often as mongrel as a Japanese ...

Energy-efficient spikformer has been proposed by integrating the biologically plausible spiking neural network (SNN) and artificial transformer, whereby the spiking self-attention (SSA) is used to ...

The inverse Fourier transform (inverse FFT or iFFT) reverses the operation of the Fourier transform and derives a time-domain representation from a frequency-domain dataset. Figure 1. The inverse ...

Fourier transform is a key method for analyzing signals in both time and frequency domains. The FFT is a computational algorithm that efficiently computes the discrete Fourier transform (DFT) and its ...

This is a simple f2py-wrapper for the logarithmic FFT code FFTLog as presented in Appendix B of [Hami00] and published at casa.colorado.edu/~ajsh/FFTLog. A pure ...

Artificial intelligence is revolutionizing scientific research and engineering design by providing an alternative to slow and costly physical experiments. Technologies such as neural operators ...

This multipart series will review the discrete Fourier Transform and describe how to avoid common problems when transitioning from the time to frequency domain. A recent post on phase noise discussed ...