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書目名稱Guessing Random Additive Noise Decoding影響因子(影響力)




書目名稱Guessing Random Additive Noise Decoding影響因子(影響力)學科排名




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書目名稱Guessing Random Additive Noise Decoding讀者反饋學科排名

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Verband Deutscher Elektrotechnikertion achieves an average information throughput of 47.27～51.36 Gbps for linear block codes of length 127∕128 and various code-rates, and has an area overhead of 4.84% compared to the ORBGRAND VLSI implementation.

館長

Guessing Random Additive Noise Decoding (GRAND)ly in the order in which the channel-induced noise is guessed. This chapter introduces those GRAND variants and provides an analysis of their Frame Error Rate (FER) performance as well as their computational complexity.

Exposition

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全能

allergy

Hardware Architecture for GRAND with ABandonment (GRANDAB)er based VLSI design that applies multiple TEPs simultaneously via a network of XOR gates. For a (128, 104) linear block code, the proposed GRANDAB hardware can achieve an average information throughput of up to 52 Gbps. Furthermore, the proposed hardware can be used to decode any code of length 128 and code rate between 0.75 and 1.

Nonthreatening

Hardware Architecture for GRAND Markov Order (GRAND-MO) GRAND-MO VLSI design that can achieve an average throughput of up to 52 Gbps for code length .?=?128. Furthermore, the proposed GRAND-MO decoder implementation with a codelength .?=?79 has a 33% lower worst-case latency and a 2 dB gain in decoding performance, at a target FER of 10., as compared to the (79, 64) BCH code decoder.