Please check our new article at the intersection of machine learning and signal processing published at IEEE Signal Processing Letters! We extend the theory of FrFT, a parametric signal transformation, by introducing it as a trainable layer in neural network architectures. We showed that the transformation parameters can be learned along with the remaining network […]
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