Results 1 to 10 of about 110,162 (274)

Energy Efficient GNSS Signal Acquisition Using Singular Value Decomposition (SVD) [PDF]

open access: yesSensors, 2018
A significant challenge in global navigation satellite system (GNSS) signal processing is a requirement for a very high sampling rate. The recently-emerging compressed sensing (CS) theory makes processing GNSS signals at a low sampling rate possible if ...
Juan Carlos Bermúdez Ordoñez   +2 more
doaj   +5 more sources

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   +2 more sources

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   +2 more sources

Truncated singular value decomposition in ripped photo recovery [PDF]

open access: yesITM Web of Conferences, 2021
Singular value decomposition (SVD) is one of the most useful matrix decompositions in linear algebra. Here, a novel application of SVD in recovering ripped photos was exploited. Recovery was done by applying truncated SVD iteratively.
Lem Kong Hoong
doaj   +1 more source

Electric shock feature extraction method based on adaptive variational mode decomposition and singular value decomposition

open access: yesIET Science, Measurement & Technology, 2023
This paper proposes a feature extraction method combining adaptive variational mode decomposition (AVMD) and singular value decomposition (SVD) for electric shock fault‐type identification.
Hongzhang Zhu   +4 more
doaj   +1 more source

Strong Robust Digital Watermark Algorithm Based on Contourlet Singular Value Decomposition [PDF]

open access: yesJisuanji gongcheng, 2016
In digital watermark technology of Singular Value Decomposition(SVD),to improve the robustness and solve the problem of watermark false alarm errors,an improved SVD strong robust watermark algorithm is proposed.The original image is decomposed using ...
XIAO Zhenjiu,LI Nan,WANG Yongbin,JIANG Zhengtao,CHEN Hong
doaj   +1 more source

Digital Image Watermarking using Singular Value Decomposition [PDF]

open access: yesAl-Rafidain Journal of Computer Sciences and Mathematics, 2010
This paper  presents a digital image watermarking  that  applied theory of linear algebra called “Singular Value Decomposition (SVD)” to digital image watermarking .SVD watermarking scheme, which successfully embeds watermarks into images imperceptible ...
Sura Sheriff
doaj   +1 more source

Recommendation System Algorithms on Location-Based Social Networks: Comparative Study

open access: yesInformation, 2022
Currently, social networks allow individuals from all over the world to share ideas, activities, events, and interests over the Internet. Using location-based social networks (LBSNs), users can share their locations and location-related content ...
Abeer Al-Nafjan   +2 more
doaj   +1 more source

A Partial Discharge Pulse Extraction and Denoising Technology Based on Random Singular Value Decomposition

open access: yesZhongguo dianli, 2021
Partial discharge signals are prone to missed detection under low signal-to-noise ratios, and the traditional singular value decomposition algorithm requires massive calculations when extracting partial discharge pulses.
Li WANG, Wei ZHANG, Dingnan LUO
doaj   +1 more source

Two-Channel Information Fusion Weak Signal Detection Based on Correntropy Method

open access: yesApplied Sciences, 2022
In recent years, as a simple and effective method of noise reduction, singular value decomposition (SVD) has been widely concerned and applied. The idea of SVD for denoising is mainly to remove singular components (SCs) with small singular value (SV ...
Siqi Gong   +5 more
doaj   +1 more source

Home - About - Disclaimer - Privacy