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, ...

Introduction: Fourier base fitting for masked or incomplete structured data holds significant importance, for example in biomedical image data processing. However, data incompleteness destroys the ...

Abstract: In this letter, we propose a diffusion-based framework that leverages the generative ability of diffusion models and the advantages of the physically explainable Fourier transformation for ...

Despite being the most abundant element in the universe, making cheap, clean hydrogen here on Earth has been a surprisingly tough nut to crack. “Hydrogen has always been plagued with a couple problems ...

Organizations typically undergo business transformations not only to meet strategic objectives but also to develop the critical business capabilities needed to remain agile, resilient, and sustainable ...

Center for Biophotonics, Institute of Medical Robotics, School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China ...

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 ...

Department of Chemistry, The University of Texas at Austin, Austin, Texas 78712, United States ...

Three automation use cases for expanded Keysight ADS Python APIs transforming modern RF and high-speed design include: Use Case 1 – Python for Personal Productivity: One advantage of Python is its ...

At the bottom of our list is the transformation that turns you into a big stone-headed beast and is called Azure Dust. The only inherent buff this transformation gives you is immunity to all status ...

Abstract: The fractional Fourier transform (FRFT) parametrically generalizes the Fourier transform (FT) by a transform order, representing signals in intermediate time-frequency domains. The FRFT has ...