The generalized eigenvector problem (GEP) for Hermitian Toeplitz matrices is studied and some properties related to its eigenvectors and the associated eigenfilters are derived. Zero locations of the eigenfilters are also investigated and all of the results are applied to the maximum SINR (signal-to-interference-plus-noise ratio) beamforming problem based on ULAs (uniform linear arrays), since maximizing output SINR can be formulated as a generalized eigenvector problem where the matrix pair consisting of the desired signal correlation matrix and interference plus noise correlation matrix. Theoretical analysis based on a three-element ULA is provided, supported by simulations
AbstractAn iterative procedure is proposed for computing the eigenvalues and eigenvectors of a class...
Based on the uniform linear array (ULA) structure and the resultant persymmetric structure of its co...
AbstractThe problem of approximation of an eigenpair of a large n × n matrix A is considered. We stu...
The generalized eigenvector problem (GEP) for Hermitian Toeplitz matrices is studied and some proper...
The generalized eigenvector problem (GEP) for Hermitian Toeplitz matrices is studied and some proper...
AbstractThe paper deals with the entries of functions of large banded Hermitian block Toeplitz matri...
Abstract—We derive eigenvalue beamformers to resolve an un-known signal of interest whose spatial si...
In this work, a number of advances are described which we feel lead to better understanding and solu...
International audienceIn many detection applications, the main performance criterion is the signal t...
We derive eigenvalue beamformers to resolve an unknown signal of interest whose spatial signature li...
A novel method for computing the minimal eigenvalue of a symmetric positive definite Toeplitz matrix...
Abstract—Several signal processing applications can be formulated as the computation of the null vec...
Abstract Toeplitz matrices have found important applications in bioinformatics and computa-tional bi...
Abstract. It is pointed out that the author’s O(n2) algorithm for computing individual eigenvalues o...
This paper introduces an eigenvector pruning algorithm for the estimation of the signal-plus-interfe...
AbstractAn iterative procedure is proposed for computing the eigenvalues and eigenvectors of a class...
Based on the uniform linear array (ULA) structure and the resultant persymmetric structure of its co...
AbstractThe problem of approximation of an eigenpair of a large n × n matrix A is considered. We stu...
The generalized eigenvector problem (GEP) for Hermitian Toeplitz matrices is studied and some proper...
The generalized eigenvector problem (GEP) for Hermitian Toeplitz matrices is studied and some proper...
AbstractThe paper deals with the entries of functions of large banded Hermitian block Toeplitz matri...
Abstract—We derive eigenvalue beamformers to resolve an un-known signal of interest whose spatial si...
In this work, a number of advances are described which we feel lead to better understanding and solu...
International audienceIn many detection applications, the main performance criterion is the signal t...
We derive eigenvalue beamformers to resolve an unknown signal of interest whose spatial signature li...
A novel method for computing the minimal eigenvalue of a symmetric positive definite Toeplitz matrix...
Abstract—Several signal processing applications can be formulated as the computation of the null vec...
Abstract Toeplitz matrices have found important applications in bioinformatics and computa-tional bi...
Abstract. It is pointed out that the author’s O(n2) algorithm for computing individual eigenvalues o...
This paper introduces an eigenvector pruning algorithm for the estimation of the signal-plus-interfe...
AbstractAn iterative procedure is proposed for computing the eigenvalues and eigenvectors of a class...
Based on the uniform linear array (ULA) structure and the resultant persymmetric structure of its co...
AbstractThe problem of approximation of an eigenpair of a large n × n matrix A is considered. We stu...