The Fourier Neural Operator (FNO) [1] is a neural operator with an integral kernel parameterized in Fourier space. This allows for an expressive and efficient architecture. Applications of the FNO ...

Over at Quanta Magazine [Shalma Wegsman] asks What Is the Fourier Transform? [Shalma] begins by telling you a little about Joseph Fourier, the French mathematician with an interest in heat propagation ...

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, ...

Abstract: This paper focuses on the implementation of a 1024-point FFT. A 1024-point FFT is significant in various applications, including signal processing, image processing, and communications, ...

This paper introduces a new encryption method aimed at improving the cryptography process through the use of splitting radix Fourier Transform technique called Split-Radix Fast Fourier Transforms ...

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 ...

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 ...

In Part 2 of this series, MathWorks' Heather Gorr details how to take advantage of Python-based AI and ML libraries via MATLAB. One of the reasons for using different programming languages is to gain ...

The function fftTransformLength computes a transform length that is optimized for faster FFT computation in MATLAB. The function is useful for choosing the padded transform length in situations ...