Results 21 to 30 of about 23,727,129 (258)

Enhanced Detection Algorithms Based on Eigenvalues and Energy in Random Matrix Theory Paradigm

open access: yesIEEE Access, 2020
This paper considers the problem of spectrum sensing in multi-antenna cognitive radio networks. Energy detection (ED) method for spectrum sensing does not require any information of the source signal and channel, as well as it is suitable for detecting ...
Wenjing Zhao   +4 more
doaj   +1 more source

Jordan–Schur Algorithms for Computing the Matrix Exponential

open access: yesInternational Journal of Mathematics and Mathematical Sciences, 2023
In this paper, two new versions of the Schur algorithm for computing the matrix exponential of an n×n complex matrix A are presented. Instead of the Schur form, these algorithms use the Jordan–Schur form of A.
Petko H. Petkov
doaj   +1 more source

Some Method for Constructing Cycles in a Graph

open access: yesСовременные информационные технологии и IT-образование, 2022
Multidimensional matrices are a powerful tool for solving various fundamental scientific problems and applied scientific and technical problems. As examples of the use of multidimensional matrices in various fields, one can cite the work of the creator ...
Victor Munerman, Daniel Munerman
doaj   +1 more source

On the geometry of border rank algorithms for matrix multiplication and other tensors with symmetry

open access: yesCoRR, 2016
We establish basic information about border rank algorithms for the matrix multiplication tensor and other tensors with symmetry. We prove that border rank algorithms for tensors with symmetry (such as matrix multiplication and the determinant polynomial) come in families that include representatives with normal forms. These normal forms will be useful
J. M. Landsberg, Mateusz Michalek
openaire   +2 more sources

A fast algorithm for matrix balancing [PDF]

open access: yes, 2013
As long as a square nonnegative matrix A contains sufficient nonzero elements, then the matrix can be balanced, that is we can find a diagonal scaling of A that is doubly stochastic. A number of algorithms have been proposed to achieve the balancing, the
Knight, Philip, Ruiz, Daniel
core   +2 more sources

Numerical performance of the matrix pencil algorithm computing the greatest common divisor of polynomials and comparison with other matrix-based methodologies

open access: yesJournal of Computational and Applied Mathematics, 1996
The problem of finding the greatest common divisor (GCD) of a given polynomial set has interested mathematicians for a very long time and has widespread applications in several branches of control theory, matrix theory, statistics, network theory.
Mitrouli, M   +2 more
openaire   +3 more sources

Wireless Sensor Network Localization via Matrix Completion Based on Bregman Divergence

open access: yesSensors, 2018
One of the main challenges faced by wireless sensor network (WSN) localization is the positioning accuracy of the WSN node. The existing algorithms are arduous to use for dealing with the pulse noise that is universal and ineluctable in practical ...
Chunsheng Liu, Hong Shan, Bin Wang
doaj   +1 more source

Orthogonalization of the Sensing Matrix Through Dominant Columns in Compressive Sensing for Speech Enhancement

open access: yesApplied Sciences, 2023
This paper introduces a novel speech enhancement approach called dominant columns group orthogonalization of the sensing matrix (DCGOSM) in compressive sensing (CS).
Vasundhara Shukla, Preety D. Swami
doaj   +1 more source

Quantum-inspired algorithms in practice [PDF]

open access: yesQuantum, 2020
We study the practical performance of quantum-inspired algorithms for recommendation systems and linear systems of equations. These algorithms were shown to have an exponential asymptotic speedup compared to previously known classical methods for ...
Juan Miguel Arrazola   +3 more
doaj   +1 more source

Investigating the feature extraction capabilities of non-negative matrix factorisation algorithms for black-and-white images [PDF]

open access: yesITM Web of Conferences
Nonnegative matrix factorisation (NMF) is a class of matrix factorisation methods to approximate a nonnegative matrix as a product of two nonnegative matrices.
Liew How Hui   +2 more
doaj   +1 more source

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