Abstract: Utilizing signal processing tools in deep learning models has been drawing increasing attention. Fourier transform (FT), one of the most popular signal processing tools, is employed in many ...

To continue reading this content, please enable JavaScript in your browser settings and refresh this page. Preview this article 1 min The Germantown firm has found ...

This work provides a comprehensive derivation of the Fourier transform, with less emphasis on the mathematical rigor associated with the theory. Instead, its primary goal is to serve as a didactic ...

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 ...

Researchers from Shibaura Institute of Technology have designed and synthesized novel vitamin K analogues conjugated with retinoic acid, which exhibit potent neuronal differentiation-inducing ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Infrared (IR) spectroscopy is a powerful method for mapping chemical heterogeneity on ...

The Uncertainty-Aware Fourier Ptychography (UA-FP) framework marks a transformative milestone in computational imaging, revolutionizing the way we address system uncertainties. This innovative ...

Join the event trusted by enterprise leaders for nearly two decades. VB Transform brings together the people building real enterprise AI strategy. Learn more Microsoft announced today a major ...

ABSTRACT: The exponential transform or modified Fourier transform is an integral transform where the Kernel function is K a ( ξ,t )= a −iξt , and a∈] 1,+∞ [ . This is a general case of the Fourier ...

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 ...