JSTOR Daily

Krylov Subspace Methods for Solving Large Unsymmetric Linear Systems

Some algorithms based upon a projection process onto the Krylov subspace $K_m = \operatorname{Span}(r_0, Ar_0, \ldots, A^{m - 1}r_0)$ are developed, generalizing the ...
GitHub

ruibin-xu/Quantum-Krylov-subspace-method-based-linear-solver

Our main code consists of three main parts: 1,The QKSL.ipynb file is to show the QKSL under ideally condition; 2,The Fourier_Approach.ipynb file is to show the Fourier approach under ideally condition ...
IEEE

Multi-linear subspace estimation and projection for efficient RFI excision in SIMO systems

Abstract: The paper introduces the multi-linear algebra framework to the radio frequency interference (RFI) excision research by proposing a multi-linear subspace estimation and projection (MLSEP) ...
GitHub

Subspace Representation Learning for Sparse Linear Arrays to Localize More Sources than Sensors: A Deep Learning Methodology

This repository is the official implementation of the paper accepted by IEEE Transactions on Signal Processing, Subspace Representation Learning for Sparse Linear Arrays to Localize More Sources than ...
IEEE

Robust Discriminative t-Linear Subspace Learning for Image Feature Extraction

Abstract: Subspace learning has been widely applied for joint feature extraction and dimensionality reduction, demonstrating significant efficacy. Numerous subspace learning methods with diverse ...