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 ...
Abstract: This paper considers the definition of the graph Fourier transform (GFT) and of the spectral decomposition of graph signals. Current literature does not address the lack of unicity of the ...
Abstract: Long time coherent integration (LTCI) for high-speed maneuvering targets in radar signal processing poses substantial difficulties due to the occurrence of range migration (RM) and Doppler ...
RFF can be applicable to many other machine learning algorithms than the above. The author will provide implementations of the other algorithms soon. This module supports training/inference on GPU.
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