Oct 28, 2019 · A non-orthogonal approximate joint diagonalization (AJD) algorithm of a set of non-Hermitian matrices is presented.

Oct 28, 2019 · A non-orthogonal approximate joint diagonalization (AJD) algorithm of a set of non-Hermitian matrices is presented.

A new algorithm for approximate joint diagonal-ization of a set of matrices is presented. Using a weighted least-squares (WLS) criterion, without the ...

Oct 28, 2019 · A non-orthogonal approximate joint diagonalization (AJD) algorithm of a set of non-Hermitian matrices is presented.

Abstract: Approximate joint diagonalization of a set of matrices is an essential tool in many blind source separation (BSS) algorithms.

Semantic Scholar extracted view of "Non-orthogonal approximate joint diagonalization of non-Hermitian matrices in the least-squares sense" by Jifei Miao et ...

Bibliographic details on Non-orthogonal approximate joint diagonalization of non-Hermitian matrices in the least-squares sense.

ABSTRACT. Several Blind Source Separation algorithms require the approximate joint diagonalization of a set of matrices.

Approximate joint diagonalization of a set of matrices is an essential tool in many blind source separation (BSS) algorithms. A common measure of the ...

Apr 29, 2023 · Hermitian matrices satisfy both of our definitions for numbers: they have an eigenvalue structure which allows us to quantize and measure, but ...