Accelerating parallel Jacobi method for matrix eigenvalue computation in DOA estimation algorithm
Z Shi, Q He, Y Liu - IEEE Transactions on Vehicular Technology, 2020 - ieeexplore.ieee.org
The calculation of eigenvalues of a matrix is required by many algorithms. Specifically, it is
the key technique in subspace-based direction of arrival (DOA) estimation algorithms, eg …
the key technique in subspace-based direction of arrival (DOA) estimation algorithms, eg …
Efficient GNSS jamming mitigation using the Marcenko Pastur law and Karhunen–Loeve decomposition
O Sharifi-Tehrani, MF Sabahi… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
The efficiency of using Karhunen–Loeve (KL) decomposition for retrieving global navigation
satellite system (GNSS) signals from interference has been proven in the literature. The …
satellite system (GNSS) signals from interference has been proven in the literature. The …
A novel memristor-based method to compute eigenpairs
Although digital processors offer high computing accuracy, they suffer enormously from
lengthy execution times and high energy consumption as a result of the numerous …
lengthy execution times and high energy consumption as a result of the numerous …
Memristor-Based Spectral Decomposition of Matrices and Its Applications
The recently developed memristor technology allows for extremely fast implementation of a
number of important matrix operations and algorithms. Moreover, the existence of fast matrix …
number of important matrix operations and algorithms. Moreover, the existence of fast matrix …
Eigenvalue decomposition with stochastic optimization
A computer-implemented method for Eigenpair computation is provided. The method
includes computing, her a hardware processor, an Eigenvector and respective Eigenvalues …
includes computing, her a hardware processor, an Eigenvector and respective Eigenvalues …