Results 11 to 20 of about 38,175 (260)

Sparse Code With Minimum Hamming Distance of Three for Spin-Torque Transfer Magnetic Random Access Memory

open access: yesIEEE Access, 2023
Spin-torque-transfer magnetic random access memory (STT-MRAM) has recently emerged as a promising technology to replace dynamic random access memory (DRAM).
Thien An Nguyen, Jaejin Lee
doaj   +1 more source

On the Design of 7/9-Rate Sparse Code for Spin-Torque Transfer Magnetic Random Access Memory

open access: yesIEEE Access, 2021
A design of 7/9-rate sparse code for spin-torque transfer magnetic random access memory (STT-MRAM) is proposed in this work. The STT-MRAM using spin-polarized current through magnetic tunnel junction (MTJ) to write data is one of the most promising ...
Chi Dinh Nguyen
doaj   +1 more source

Improving Bit-Error-Rate Performance Using Modulation Coding Techniques for Spin-Torque Transfer Magnetic Random Access Memory

open access: yesIEEE 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
doaj   +1 more source

Synthesis of a comprehensive population code for contextual features in the awake sensory cortex

open access: yeseLife, 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
doaj   +1 more source

Discriminative Convolutional Sparse Coding of ECG Signals for Automated Recognition of Cardiac Arrhythmias

open access: yesMathematics, 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
doaj   +1 more source

Sparse Regression Codes [PDF]

open access: yesFoundations 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
openaire   +2 more sources

Sparse Coding and Autoencoders [PDF]

open access: yes2018 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
openaire   +3 more sources

Sparse coding

open access: yesScholarpedia, 2008
The(frequently updated) original version is avalable at http://www.scholarpedia.org/article ...
Peter Földiák, Dominik M. Endres
openaire   +2 more sources

Batched Sparse Codes [PDF]

open access: yesIEEE Transactions on Information Theory, 2014
51 pages, 12 figures, submitted to IEEE Transactions on Information ...
Shenghao Yang 0001, Raymond W. Yeung
openaire   +2 more sources

Blind recognition of sparse parity‐check matrices of low‐density parity‐check codes in the presence of noise

open access: yesIET 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
doaj   +1 more source

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