Results 31 to 40 of about 6,413,007 (222)

On the singular value decomposition of (skew-)involutory and (skew-)coninvolutory matrices

open access: yesSpecial Matrices, 2020
The singular values σ > 1 of an n × n involutory matrix A appear in pairs (σ, 1σ{1 \over \sigma }). Their left and right singular vectors are closely connected. The case of singular values σ = 1 is discussed in detail. These singular values may appear in
Faßbender Heike, Halwaß Martin
doaj   +1 more source

Least Squares Estimation of PSI Networks for Large Scenes with Multithreaded Singular Value Decomposition [PDF]

open access: yes, 2010
In the Persistent Scatterer Interferometry relative height and deformation updates are estimated between nearby persistent scatterers (PSs). In practice, a reference network is established and the absolute values are estimated by integration.
Parizzi, Alessandro   +2 more
core  

Topological Spin‐Texture Transitions in van der Waals Magnets Revealed by X‐Ray Fourier Transform Holography

open access: yesAdvanced Materials, EarlyView.
Applied here for the first time to a 2D material, high‐resolution synchrotron x‐ray Fourier transform holography directly images topological spin textures in Fe3GeTe2. Combined with atomistic tight‐binding simulations including itinerant electrons and Rashba spin‐orbit coupling, the approach reveals labyrinth, skyrmion, and mixed phases, and uncovers ...
Sourav Chowdhury   +16 more
wiley   +1 more source

Singular value decomposition-based multiuser multiple-input multiple-output vector perturbation-aided downlink transmitter and lattice-reduction-assisted uplink receiver pair [PDF]

open access: yes, 2012
: A full-duplex uplink/downlink (UL/DL) system having a UL transmitter/receiver (transceiver) pair and a DL transceiver is considered. Both the UL and DL are improved.
Li, J.-D., Liu, Wei, Li, C, Hanzo, Lajos
core   +1 more source

Arabic Language Text Steganography Based on Singular Value Decomposition (SVD) [PDF]

open access: yesEngineering and Technology Journal, 2016
With the fast development of internet innocent over communication in the network environment has become an important research direction. Steganography means that secret information is embedded into cover data imperceptibly for transmission.
Hanaa M. Ahmed, a A. A. Khohder, Maisa
doaj   +1 more source

On‐Chip Photonic Neural Network Architectures

open access: yesAdvanced Optical Materials, EarlyView.
This review presents a comprehensive overview of on‐chip photonic neural network architectures, covering key photonic building blocks, representative network types, and emerging applications. Recent advances, implementation challenges, and future directions are examined, highlighting the potential of integrated photonics to enable ultrafast, energy ...
Seokjin Hong   +7 more
wiley   +1 more source

Weak peak identification of gamma spectrum based on singular value decomposition

open access: yesHe jishu
BackgroundWhen performing gamma-ray spectroscopy analysis of samples with low levels of radioactive nuclide content, the weak peaks are difficult to be identified.PurposeThis study aims to propose a new method for identifying peaks in γ spectra by ...
CHEN Feng, ZHOU Jianbin, LIU Yi
doaj   +1 more source

KOMPRESI GAMBAR MENGGUNAKAN SINGULAR VALUE DECOMPOSITION (SVD) DENGAN PYTHON [PDF]

open access: yes
.  Image Compression Using Singular Value Decomposition (SVD) with Python is a powerful technique for dimension reduction and data compression. SVD decomposes a matrix into three separate matrices: , and .
Rahmadi, Deddy   +3 more
core   +1 more source

Cross‐Scale Hierarchical Targeted Delivery System Based on Small‐Scale Magnetic Robots

open access: yesAdvanced Robotics Research, EarlyView.
This article reviews a cross‐scale hierarchical targeted delivery system that integrates magnetic continuum robots and magnetic microrobots. By combining rapid long‐range navigation with precise microscale targeting, the system overcomes key limitations of single‐scale approaches.
Junjian Zhou   +4 more
wiley   +1 more source

Objects features extraction by singular projections of data tensor to matrices

open access: yesInformatyka, Automatyka, Pomiary w Gospodarce i Ochronie Środowiska
The problem of multidimensional tensor objects features extraction in a manner of matrices is considered. The tensor’ elements Higher Order Singular Value Decomposition (SVD) is presented as the d-SVD which includes SVD of the tensor reshaped as a ...
Yuriy Bunyak   +3 more
doaj   +1 more source

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