IEEE Signal Processing Letters’da yayınlanan, makine öğrenimi ve sinyal işlemenin kesişimindeki yeni makalemize lütfen göz atın! 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 weights through backpropagation during […]
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