With pharmaceutical and biotechnology R&D witnessing unprecedented growth, molecular spectroscopy methods such as nuclear magnetic resonance (NMR), Fourier transform infrared (FTIR), and Raman ...

In fact, a whole amazing and useful world of mathematics comes into view: the world of complex analysis. For one, trigonometry becomes a lot easier. Instead of memorizing several complicated trig ...

For example, complex analysis is used to manipulate wavelets, or small oscillations in data. These are critical to removing the noise in a garbled signal from a satellite, as well as compressing ...

The Fast Fourier Transform (FFT) is a fundamental building block used in DSP systems, with applications ranging from OFDM based Digital MODEMs, to Ultrasound, RADAR and CT Image reconstruction ...

However, their potential in regression tasks remains relatively unexplored. This study focuses on leveraging the spiking neural architecture in conjunction with Fourier analysis and support vector ...

In this work, we present a framework which preprocesses raw sEMG signals with empirical Fourier decomposition (EFD)-based approach ... In the next step, a thorough analysis of decomposed components as ...

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 ...