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 ...
This is the RTL implementation, physical implementation, and verification of 64-point FFT/IFFT processor based on the design proposed in the papers listed below. The circuit uses Fixed-Point Q4.12 ...
Abstract: The specific content of this design revolves around speech signal processing utilizing MATLAB, with the Discrete Fourier Transform (DFT) as its cornerstone algorithm. DFT facilitates the ...
Abstract: This paper presents a 2-dimensional FFT (fast fourier transform) scheme for the automotive radars using the fast-ramp FMCW (frequency modulated continuous wave) signal. The automotive radars ...
Adam Hayes, Ph.D., CFA, is a financial writer with 15+ years Wall Street experience as a derivatives trader. Besides his extensive derivative trading expertise, Adam is an expert in economics and ...
The parabolic equation (PE) serves as a fundamental methodology for modeling underwater acoustic propagation. The computational efficiency of this approach derives from the far-field approximation of ...
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