Results 151 to 160 of about 1,239,425 (219)

Robust and Interpretable Deep Learning Fault Diagnosis in Complex Chemical Processes: Performance Enhancement via Dempster-Shafer Theory and Feature Attention. [PDF]

ACS Omega
Ewuzie RN, Gunasekaran S, Ahmad Z, Juwari J, Md Nor N.   +4 more
europepmc   +1 more source

Safe causal-graph primal-dual multi-agent scheduling for energy- and latency-constrained edge-assisted cognitive radio networks. [PDF]

Sci Rep
Kannan T, Lavanya M, Ponraj A, Nalayini CM.   +3 more
europepmc   +1 more source

Plant embodied intelligence: A paradigmatic perspective. [PDF]

iScience
Lin Y.
europepmc   +1 more source

The Hitchhiker's Guide to the Surface Code. [PDF]

Entropy (Basel)
Zhang F, Chen J.
europepmc   +1 more source

Layered HARQ Design for LDPC-Based Multi-Level Coded Modulation. [PDF]

Entropy (Basel)
Wei Y, Chen Y, Chen C, Xia B, Wang L.
europepmc   +1 more source

Improved Belief Propagation Decoding of Turbo Codes

ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2023
Turbo codes have been successfully adopted in 4G LTE, which can approach the channel capacity with Bahl-Cocke-Jelinek-Raviv (BCJR) decoding. With the evolution from 4G LTE to 5G NR, there is a demand to design a unified channel decoder that supports both LTE Turbo codes and NR low-density parity-check (LDPC) codes.
Yifei Shen 0003, Yuqing Ren, Andreas Toftegaard Kristensen, Xiaohu You 0001, Chuan Zhang 0001, Andreas Burg 0001   +5 more
semanticscholar   +3 more sources

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Dithered Belief Propagation Decoding

IEEE Transactions on Communications, 2012
We introduce two dithered belief propagation decoding algorithms to lower the error floor with a minimal hardware overhead. One of the algorithms can additionally improve the decoding performance in the waterfall region using a large iteration limit but with a negligible increase in the average time complexity.
Saied Hemati, François Leduc-Primeau, Shie Mannor   +2 more
exaly   +3 more sources

Decoding Product Codes with Belief Propagation

2025 IEEE Workshop on Signal Processing Systems (SiPS)
Product codes are considered a promising coding scheme for future optical and wireless communications. However, existing soft-input soft-output (SISO) iterative decoding for product codes involves sorting, list management, and soft-output generation, which includes hardware-unfriendly operations and dataflow. In this paper, we apply belief propagation (
Yifei Shen 0003, Zongyao Li 0003, Yuqing Ren, Emmanuel Boutillon, Chuan Zhang 0001, Xiaohu You 0001, Andreas Peter Burg   +6 more
openaire   +3 more sources

Stage-Combined Belief Propagation Decoding of Polar Codes

2016 IEEE International Symposium on Circuits and Systems (ISCAS), 2016
A novel modification is introduced in this paper for the belief propagation decoder of polar codes, wherein adjacent two processing stages are efficiently combined together to speed up decoding. Corresponding path based belief estimation method is presented in detail. The proposed decoder halves the number of stages of the conventional decoder and thus
Jin Sha
exaly   +3 more sources