… is a composition of a linear combination of received symbols … In this paper, we use a standard
tool set of deep learning (DL… Lin, “Soft-decision decoding of linear block codes based on …

… of image transmission and can learn strictly from data in an … in machine learning through
the use of deep learning (DL) … decoding of linear codes,” IEEE Journal of Selected Topics …

… Meanwhile, in [223], the authors employed DDPM [173] for soft decoding of linear codes
with arbitrary block lengths. Their framework models the transmission over the AWGN channel …

… of the block length is possible with windowed Random Linear Codes (RLC), which evenly
distribute the parity packets over the source packets. RLC codes have proved to reduce the in-…

… technique based on a deep learning approach is proposed in … ] for linear codes decoding
and Cammerer [16] for polar codes … modulation formats based on deep learning. One primary …

… Motivated by recent developments that exploit deep learning (DL) to decode polar codes [9]–[13], …
Beery, “Deep learning methods for improved decoding of linear codes,” IEEE J. of Sel. …

… to learn a more complex non-linear … for deep learning by comparing it with two other greedy
modules: basic denoising autoencoders and RBMs. For each type of greedy module, deep …

… , “Scaling deep learning-based decoding of polar codes via … Kisilev, “Deep learning for
decoding of linear codes - a … Brink, “On deep learning-based channel decoding,” in 2017 …

… the deep learning technique into HEVC encoding and develop a run-time deep learning-based …
reduce computational complexity with a negligible degradation in the coding e±ciency. …

… and exceed the performance of the conventional linear-precoding based closed-loop single
… Next, we developed a Deep NN model that uses the CSI at the transmitter during training. …