Results 301 to 310 of about 3,813,510 (369)

Self-supported Ag(0) nanocatalyst derived from Ag(I)-based coordination polymer. [PDF]

Sci Rep
Baraka A, Alkordi MH, Gobara M, Ettish MN, Elbahy M, Abuzalat O.   +5 more
europepmc   +1 more source

A Novel Radar Mainlobe Anti-Jamming Method via Space-Time Coding and Blind Source Separation. [PDF]

Sensors (Basel)
Ge X, Wang Y, Zheng Y, Jin G, Zhu D.
europepmc   +1 more source

A New Method for Dynamic Brain Connectivity Analysis Based on Tensor Decomposition in Tinnitus Using High-density Electroencephalogram in Source Domain. [PDF]

J Med Signals Sens
Bahman M, Sajadi SS, Toostani IG, MakkiAbadi B.   +3 more
europepmc   +1 more source

Matrix Algebras and Displacement Decompositions [PDF]

SIAM Journal on Matrix Analysis and Applications, 2000
This paper investigates classes of complex \(n\times n\) matrices for which there are formulae enabling computation of a matrix vector product \(Af\) by means of a small number of fast discrete transforms. The basic formula is the ``displacement formula'': \(A=\sum_{m=1}^{\alpha}L_{m}U_{m}\) where \(L_{m}\) and \(U_{m}\) are lower and upper triangular ...
Carmine Di Fiore
openaire   +5 more sources

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Matrix Decomposition

Sparse Estimation with Math and R, 2021
J. Suzuki
semanticscholar   +2 more sources

LQ-LoRA: Low-rank Plus Quantized Matrix Decomposition for Efficient Language Model Finetuning

International Conference on Learning Representations, 2023
We propose a simple approach for memory-efficient adaptation of pretrained language models. Our approach uses an iterative algorithm to decompose each pretrained matrix into a high-precision low-rank component and a memory-efficient quantized component ...
Han Guo, P. Greengard, Eric P. Xing, Yoon Kim   +3 more
semanticscholar   +1 more source

Double Low-Rank Matrix Decomposition for Hyperspectral Image Denoising and Destriping

IEEE Transactions on Geoscience and Remote Sensing, 2022
Hyperspectral images (HSIs) have a wealth of applications in many areas, due to their fine spectral discrimination ability. However, in the practical imaging process, HSIs are often degraded by a mixture of various types of noise, for example, Gaussian ...
Hongyan Zhang, Cai Jingyi, W. He, Huanfeng Shen, Liangpei Zhang   +4 more
semanticscholar   +1 more source

ADMM-HFNet: A Matrix Decomposition-Based Deep Approach for Hyperspectral Image Fusion

IEEE Transactions on Geoscience and Remote Sensing, 2022
Hyperspectral image (HSI) fusion refers to the reconstruction of a high-resolution HSI by fusing a low-resolution HSI (LR-HSI) and a high-resolution multispectral image (HR-MSI) over the same scene.
Dunbin Shen, Jianjun Liu, Zebin Wu, Jinlong Yang, Liang Xiao   +4 more
semanticscholar   +1 more source

SAR Interference Suppression Algorithm Based on Low-Rank and Sparse Matrix Decomposition in Time–Frequency Domain

IEEE Geoscience and Remote Sensing Letters, 2022
Radio frequency electromagnetic interference is a relatively common phenomenon, especially for synthetic aperture radar (SAR) systems working in P- or L-band.
Qiyuan Lyu, B. Han, Guangzuo Li, Wei Sun, Zongxu Pan, W. Hong, Yuxin Hu   +6 more
semanticscholar   +1 more source