Guessing Random Additive Noise Decoding (GRAND) is a universal decoding
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Guessing Random Additive Noise Decoding (GRAND) is a universal decoding
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Guessing Random Additive Noise Decoding (GRAND) is a recently proposed
d...
In this work we propose an encoding and decoding framework for staircase...
Many channel decoders rely on parallel decoding attempts to achieve good...
Polar codes are linear block codes that can achieve channel capacity at
...
Polar codes are a class of linear block codes that provably achieves cha...
We propose a novel coupling technique for the design of polar codes of l...
Polar codes are able to achieve the capacity of memoryless channels unde...
In this paper we propose an enhanced soft cancellation (SCAN) decoder fo...
In this paper, we study the connection between polar codes and product c...
The 5G standardization process of the 3GPP included polar codes concaten...
Polar codes have gained extensive attention during the past few years an...
Product codes are widespread in optical communications, thanks to their ...
Multi-kernel polar codes have recently been proposed to construct polar ...
The interest in polar codes has been increasing significantly since thei...
Research on polar codes has been constantly gaining attention over the l...
Polar codes have attracted the attention of academia and industry alike ...
Polar codes have received increasing attention in the past decade, and h...
In blind detection, a set of candidates has to be decoded within a stric...
During the past few years, interest in convolutional neural networks (CN...
Polar codes are a class of linear block codes that provably achieves cha...
Polar codes are a class of channel capacity achieving codes that has bee...
Recently deep neural networks have received considerable attention due t...
Powerful Forward Error Correction (FEC) schemes are used in optical
comm...