Signal processing

Eigenmoments

EigenMoments is a set of orthogonal, noise robust, invariant to rotation, scaling and translation and distribution sensitive moments. Their application can be found in signal processing and computer vision as descriptors of the signal or image. The descriptors can later be used for classification purposes. It is obtained by performing orthogonalization, via eigen analysis on geometric moments. (Wikipedia).

Eigenmoments
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Linear Algebra: Ch 3 - Eigenvalues and Eigenvectors (5 of 35) What is an Eigenvector?

Visit http://ilectureonline.com for more math and science lectures! In this video I will explain and show (in general) what is and how to find an eigenvector. Next video in this series can be seen at: https://youtu.be/SGJHiuRb4_s

From playlist LINEAR ALGEBRA 3: EIGENVALUES AND EIGENVECTORS

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A03 Eigenvalues

The method of determining eigenvalues as part of calculating the sets of solutions to a linear system of ordinary first-order differential equations.

From playlist A Second Course in Differential Equations

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10A An Introduction to Eigenvalues and Eigenvectors

A short description of eigenvalues and eigenvectors.

From playlist Linear Algebra

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A11 Eigenvalues with complex numbers

Eigenvalues which contain complex numbers.

From playlist A Second Course in Differential Equations

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Lecture: Eigenvalues and Eigenvectors

We introduce one of the most fundamental concepts of linear algebra: eigenvalues and eigenvectors

From playlist Beginning Scientific Computing

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Eigenvalues | Eigenvalues and Eigenvectors

In this video, we work through some example computations of eigenvalues of 2x2 matrices. Including a case where the eigenvalues are complex numbers. We do not discuss any intuition or definition of eigenvalues or eigenvectors, we simply carry out some elementary computations. If you liked

From playlist Linear Algebra

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A04 Eigenvectors

With the eigenvalues for the system known, we move on the the eigenvectors that form part of the set of solutions.

From playlist A Second Course in Differential Equations

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Linear Algebra - Lecture 33 - Eigenvectors and Eigenvalues

In this lecture, we define eigenvectors and eigenvalues of a square matrix. We also prove a couple of useful theorems related to these concepts.

From playlist Linear Algebra Lectures

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Eigenvalues and Eigenvectors

This video explores the eigenvalues and eigenvectors of a matrix "A". This is one of the most important concepts in linear algebra. The eigenvectors represent a change of coordinates in which the "A" matrix becomes diagonal, with entries given by the eigenvalues. This allows us to easil

From playlist Engineering Math: Differential Equations and Dynamical Systems

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Eigenvalues and Eigenvectors, Imaginary and Real

3D visualization of eigenvectors and eigenvalues. Includes imaginary and real components. My Patreon page is at https://www.patreon.com/EugeneK

From playlist Physics

Related pages

Rotation | Orthogonalization | Eigenvalues and eigenvectors | Scaling (geometry) | Signal processing | Moment (mathematics) | Rayleigh quotient | Diagonalizable matrix | Signal-to-noise ratio | Symmetry | Eigendecomposition of a matrix | Invertible matrix | Kronecker delta