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We propose a novel decoding architecture which concatenates a complex-valued convolutional neural network (CCNN) with a belief propagation (BP) decoder.
Abstract—Inspired by the recent outcomes in deep learning, we propose a novel decoding architecture which concatenates a complex-valued convolutional neural ...
This work proposes a novel decoding architecture which concatenates a complex-valued convolutional neural network with a belief propagation decoder for ...
Bibliographic details on Channel Decoding Based on Complex-valued Convolutional Neural Networks.
Dec 18, 2023 · Complex Valued Neural Networks (CVNNs) have the potential to accelerate AI adoption in many high-impact fields. They offer many advantages over traditional ...
Dec 26, 2017 · It is literally just a 3D convolution at the first layer to deal with the RGB-ness and following that it behaves exactly like a CNN applied to a 1 channel ...
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Jun 18, 2021 · What do you think about Complex Valued Neural Networks? Can it be a new interesting field to look at? Mostly for the Signal Processing or Physics community.
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In this paper, complex-valued convolutional neural networks are presented, by giving the full deduction of the gradient descent algorithm for training this ...
Jan 28, 2021 · Specifically, detailed review of various CVNNs in terms of activation function, learning and optimization, input and output representations, and ...