Results 31 to 40 of about 8,087 (250)
EntropyAs high-speed big-data communications impose new requirements on storage latency, low-density parity-check (LDPC) codes have become a widely used technology in flash-memory channels.
Yingge Li, Haihua Hu
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From maximum likelihood to iterative decoding [PDF]
2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2011 Iterative decoding is considered in this paper from an optimization point of view. Starting from the optimal maximum likelihood decoding, a (tractable) approximate criterion is derived. The global maximum of the approximate criterion is analyzed: the maximum likelihood solution can be retrieved from the approximate criterion in some particular cases ...
Alberge, Florence +2 more
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Advanced Functional Materials, EarlyView.This work introduces an ultrafast thermal shock strategy to synthesize a CuNiSnLa medium‐entropy metallic glass (MEMG). The rapid heating and cooling process generates a robust, highly active catalyst for electrocatalytic nitrate reduction to ammonia (NRA).
Hongbo Chen +7 more
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A study on applying GA for performance improvement of SP decoder in SMR
AIP AdvancesWe study low-density parity-check (LDPC) coding and iterative decoding methods for shingled magnetic recording in ultra-high-density hard disk drives.
Madoka Nishikawa +3 more
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IEEE Access, 2015 Fully parallel turbo decoders (FPTDs) have been shown to offer a more-than-sixfold processing throughput and latency improvement over the conventional logarithmic Bahl-Cocke-Jelinek-Raviv (Log-BCJR) turbo decoders.
Hoang Anh Ngo +2 more
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Correcting Suboptimal Metrics in Iterative Decoders [PDF]
2009 IEEE International Conference on Communications, 2009 In this paper the issue of improving the performance of iterative decoders based on sub-optimal calculation of the messages exchanged during iterations (L-values) is addressed. It is well known in the literature that a simple-yet very effective-way to improve the performance of suboptimal iterative decoders is based on applying a scaling factor to the ...
Alex Alvarado +3 more
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Advanced Materials, EarlyView.The perspective presents an integrated view of neuromorphic technologies, from device physics to real‐time applicability, while highlighting the necessity of full‐stack co‐optimization. By outlining practical hardware‐level strategies to exploit device behavior and mitigate non‐idealities, it shows pathways for building efficient, scalable, and ...
Kapil Bhardwaj +8 more
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Tongxin xuebao, 2007 A novel joint iterative channel estimation and space-frequency decoding algorithm was proposed for SFBC-OFDM systems.At first,a new channel estimation algorithm based on time-frequency transforms（TFT） was de-veloped to improve the performance of the ...
ZHOU Peng +3 more
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Organic Materials of Tomorrow: Horizons of Artificial Intelligence
Advanced Materials, EarlyView.This review examines machine learning techniques accelerating the discovery of organic semiconductors by linking molecular structure to properties. Key methods include graph neural networks, generative models, and active learning. Applications to organic photovoltaics demonstrate practical impact.
Harold Mena +3 more
wiley +1 more source
Tongxin xuebao, 2006 For Turbo coded V-BLAST MIMO-OFDM systems,a joint iterative decision feedback channel estimation and detection scheme were presented,which combined the Turbo iterative decoding with least square channel estimation,and made full use of the soft systematic
QIAO Xiao-qiang1 +3 more
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