A signal-processing–based framework converts DNA sequences into numerical signals to identify protein-coding regions. By integrating spectral analysis and SVM classification, the approach improves ...

MATLAB implementation of Discrete Fourier Transform (DFT) for image processing, including manual and built-in DFT verification, magnitude-phase spectrum analysis, shifting, rotation, and ...

Shanghai-based Fourier today launched GR-2, the latest generation of its GRx humanoid robot series. The company has upgraded its hardware, design, and software. “GR-2 is a big step into the future of ...

Chinese robotics Fourier Intelligence has teased its new humanoid GR-2, which is expected to offer a significant leap in robotic capabilities. In mid-2023, Fourier Intelligence introduced its ...

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Abstract: The paper presents developed User-Defined Functions, that are designed for identification of linear periodically-time-variable circuits and inverse transformation of signals by Fourier and ...

The COS method was introduced in Fang & Oosterlee (2008) and then was applied to pricing a variety of stock options for continuous random variables. This paper adapts the Fourier-cosine series (COS) ...

Symbolic Math Toolbox provides functions for solving, plotting, and manipulating symbolic math equations. You can create, run, and share symbolic math code. The toolbox provides functions in common ...

A multilayer perceptron (MLP) is a class of feed-forward neural networks with many perceptrons organized into layers. MLPs can solve problems stochastically and provide approximate solutions for ...

In this work, Fourier-series representation of a discontinuous function is used to highlight and clarify the controversial problem of finding the value of the function at a point of discontinuity.