Results 91 to 100 of about 6,486,492 (310)

Deep‐Learning‐Based Denoising for Improved Phase Precision in Electron Holography of Electromagnetic Fields in Nanoscale Materials

Advanced Science, EarlyView.
Low‐dose electron holography is limited by shot noise, which buries weak phase signals. HoloDenoiser, a physics‐informed network that works simultaneously in the spatial and frequency domains, locates and protects the holographic sideband while suppressing noise in the hologram.
Ye Luo, Luyang Wang, Zhiling Yu, Xiaowen Chen, Xiaoyu Wang, Ya‐Hui Jia, Thibaud Denneulin, Yu Han, Rafal E. Dunin‐Borkowski, Fengshan Zheng, Qi Liu   +10 more
wiley   +1 more source

Nonnegative Sparse Representation of Signals With a Determinant-Type Sparsity Measure Based on the DC Programming

IEEE Access, 2018
Nonnegative sparse representation has become highly popular in certain applications in the context of signals and corresponding dictionaries that have nonnegative limitations.
Benying Tan, Shuxue Ding, Yujie Li, Xiang Li   +3 more
doaj   +1 more source

Mechanically Reprogrammed Coaxial Fibers for Multiphysics Transduction and Human‐Machine Interfaces

Advanced Science, EarlyView.
A continuously wet‐spun coaxial fiber is developed to combine stretchable conductivity, resistive sensing, and self‐powered triboelectric sensing in a single architecture. A mechanically reprogrammed dual‐network sheath stabilizes large deformation and improves signal reliability. These fibers can be woven into textile interfaces for multichannel touch
Xinyi Cao, Chao Ye, Shengjie Ling, Ming Li, Zhao Sha, Chun‐Hui Wang, Shuhua Peng   +6 more
wiley   +1 more source

The effect of dictionary training in the teaching of English as a foreign language

Revista Alicantina de Estudios Ingleses, 2011
The process of teaching any subject involves the use of all resources available to achieve efficient/effective result. When dealing with teaching foreign languages, we have noticed that such a traditional and apparently well-known tool as a dictionary is
Cote González, Margarita, Tejedor Martínez, Cristina   +1 more
doaj   +1 more source

Terahertz Channel Modeling, Estimation and Localization in RIS‐Assisted Systems

Advanced Electronic Materials, EarlyView.
Reconfigurable intelligent surfaces have become a recent intensive research focus. Based on practical applications, channel strategies for RIS‐assisted terahertz wireless communication systems are categorized into three different types: channel modeling, channel estimation, and channel localization.
Hongjing Wang, Weipeng Wang, Xuan Cong, Shiyu Wang, Gao Li, Sen Gong, Lin Huang, Hongxin Zeng, Yaxin Zhang, Ziqiang Yang   +9 more
wiley   +1 more source

Dictionary Learning Based on Nonnegative Matrix Factorization Using Parallel Coordinate Descent

Abstract and Applied Analysis, 2013
Sparse representation of signals via an overcomplete dictionary has recently received much attention as it has produced promising results in various applications.
Zunyi Tang, Shuxue Ding, Zhenni Li, Linlin Jiang   +3 more
doaj   +1 more source

Learning Kernel-Based Robust Disturbance Dictionary for Face Recognition

Applied Sciences, 2019
In this paper, a kernel-based robust disturbance dictionary (KRDD) is proposed for face recognition that solves the problem in modern dictionary learning in which significant components of signal representation cannot be entirely covered.
Biwei Ding, Hua Ji
doaj   +1 more source

Dictionary learning with large step gradient descent for sparse representations [PDF]

, 2012
This is the accepted version of an article published in Lecture Notes in Computer Science Volume 7191, 2012, pp 231-238.
Boris Mailhé, Mailhé, B, Plumbley, MD, Mark D. Plumbley, Mailhé, Boris, Plumbley, Mark, D., Plumbley, Mark,   +6 more
core   +1 more source

Dictionary learning for sparse representation and classification of sound speed profile in the ocean

, 2022
Badiey, MohsenWan, LinThe presence of internal waves (IWs) in the ocean alters the variability of sound speed profile (SSP) in the water column and plays an important role in applications such as underwater acoustics.
Castro-Correa, Jhon Alejandro
core   +1 more source

Composition‐Aware Cross‐Sectional Integration for Spatial Transcriptomics

Advanced Intelligent Discovery, EarlyView.
Multi‐section spatial transcriptomics demands coherent cell‐type deconvolution, domain detection, and batch correction, yet existing pipelines treat these tasks separately. FUSION unifies them within a composition‐aware latent framework, modeling reads as cell‐type–specific topics and clustering in embedding space.
Qishi Dong, Zijian Huang, Xuanwu Wang, Zhenghui Feng, Wei Liu, Bingding Huang   +5 more
wiley   +1 more source