GitHub

SamQLuong/Yale-Face-Correlation-with-SVD-and-Eigenvalues-Eigenvectors

In this assignment, I will be taking a look at the Yale Face data set. We will be examining the correlation between the faces by using the dot product of the X matrix and the transpose X matrix. Also, ...
Ars Technica

Finding the Eigenvectors of a 2x2 Matrix in a Fragment Shader

Seems like GE on a 2x2 matrix should be pretty darn fast.... especially if you use scalar * vector type operations.
GitHub

Numerical-Methods /notes /5_matrices

Eigenvalues and eigenvectors are foundational concepts in linear algebra, with extensive applications across various domains such as physics, computer graphics, and machine learning. These concepts ...
Utah State University

Eigenvalues and Eigenvectors

These two multiplications display a unique behavior to other matrix products. Matrices can be considered linear transformation operations performed on a vector. When multiplied by the matrix, these ...
Scientific Research Publishing

Eigenvectors of Permutation Matrices

The spectral properties of special matrices have been widely studied, because of their applications. We focus on permutation matrices over a finite field and, more concretely, we compute the minimal ...
IEEE

Eigenvalues and eigenvectors of covariance matrices for signals closely spaced in frequency

Abstract: The eigenstructures of common covariance matrices are identified for the general case of M closely spaced signals. It is shown that the largest signal-space eigenvalue is relatively ...
IEEE

Eigenvalues and eigenvectors of generalized DFT, generalized DHT, DCT-IV and DST-IV matrices

Abstract: In this paper, the eigenvalues and eigenvectors of the generalized discrete Fourier transform (GDFT), the generalized discrete Hartley transform (GDHT), the type-IV discrete cosine transform ...