Results 11 to 20 of about 38,487 (260)
On the Logical Error Rate of Sparse Quantum Codes
IEEE Transactions on Quantum Engineering, 2022 The quantum paradigm presents a phenomenon known as degeneracy that can potentially improve the performance of quantum error correcting codes. However, the effects of this mechanism are sometimes ignored when evaluating the performance of sparse quantum ...
Patricio Fuentes +3 more
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Neural network detector with sparse codes for spin transfer torque magnetic random access memory
Cogent Engineering, 2023 This paper presents leveraging the neural network detector to improve the performance of a spin transfer torque magnetic random-access memory (STT-MRAM), where the sparse coding scheme is also applied to protect the user data for the asymmetric write ...
Chi Dinh Nguyen
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IEEE Access, 2023 In non-volatile random-access memory (RAM) technologies, the spin-torque transfer magnetic random-access memory (STT-MRAM) is a promising candidate. STT-MRAM has attracted attention owing to its advantages, such as a high density, high endurance, and ...
Thien An Nguyen, Jaejin Lee
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Synthesis of a comprehensive population code for contextual features in the awake sensory cortex
eLife, 2021 How cortical circuits build representations of complex objects is poorly understood. Individual neurons must integrate broadly over space, yet simultaneously obtain sharp tuning to specific global stimulus features.
Evan H Lyall +5 more
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Mathematics, 2022 Electrocardiogram (ECG) is a common and powerful tool for studying heart function and diagnosing several abnormal arrhythmias. In this paper, we present a novel classification model that combines the discriminative convolutional sparse coding (DCSC ...
Bing Zhang, Jizhong Liu
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Foundations and Trends® in Communications and Information Theory, 2019 Developing computationally-efficient codes that approach the Shannon-theoretic limits for communication and compression has long been one of the major goals of information and coding theory. There have been significant advances towards this goal in the last couple of decades, with the emergence of turbo codes, sparsegraph codes, and polar codes.
Ramji Venkataramanan +2 more
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Sparse Coding and Autoencoders [PDF]
2018 IEEE International Symposium on Information Theory (ISIT), 2018 In this new version of the paper with a small change in the distributional assumptions we are actually able to prove the asymptotic criticality of a neighbourhood of the ground truth dictionary for even just the standard squared loss of the ReLU autoencoder (unlike the regularized loss in the older version)
Akshay Rangamani +6 more
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Scholarpedia, 2008 The(frequently updated) original version is avalable at http://www.scholarpedia.org/article ...
Peter Földiák, Dominik M. Endres
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IEEE Transactions on Information Theory, 2014 51 pages, 12 figures, submitted to IEEE Transactions on Information ...
Shenghao Yang 0001, Raymond W. Yeung
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IET Communications, 2023 This paper studies the blind recognition method of the sparse parity‐check matrices of low‐density parity‐check codes in noncooperative communication, which is critical to the reverse analysis of communication protocols using LDPC codes.
Yong Ding, Zhiping Huang, Jing Zhou
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