Hardware Architecture for Guessing Random Additive Noise Decoding Markov Order (GRAND-MO)

Communication channels with memory are often sensitive to burst noise, which drastically reduces the decoding performance of standard channel code decoders, and this degradation worsens as channel memory increases. Hence, interleavers and de-interleavers are usually used to reduce the effects of bur...

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Veröffentlicht in:	Journal of signal processing systems Jg. 94; H. 10; S. 1047 - 1065
Hauptverfasser:	Abbas, Syed Mohsin, Jalaleddine, Marwan, Gross, Warren J.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York Springer US 01.10.2022 Springer Nature B.V
Schlagworte:	Algorithms Channels Circuits and Systems Communication channels Communications systems Computer architecture Computer Imaging Decoders Decoding Electrical Engineering Engineering Hardware Image Processing and Computer Vision Integrated circuits Maximum likelihood decoding Noise sensitivity Pattern Recognition Pattern Recognition and Graphics Performance degradation Signal,Image and Speech Processing Vision Maximum Likelihood Decoding (MLD) Guessing Random Additive Noise Decoding (GRAND) VLSI architecture Burst Errors Low Latency Guessing Random Additive Noise Decoding Markov Order (GRAND-MO)
ISSN:	1939-8018, 1939-8115
Online-Zugang:	Volltext
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