This paper demonstrates the ease with which broadband array problems can be generalised from their well-known, straightforward narrowband equivalents when using polynomial matrix formulations. This is here exemplified for the Capon beamformer, which presents a solution to the minimum variance distortionless response problem. Based on the space-time covariance matrix of the array and the definition of a broadband steering vector, we formulate a polynomial MVDR problem. Results from its solution in the polynomial matrix domain are presented
Polynomial parahermitian matrices can accurately and elegantly capture the space-time covariance in ...
This paper reviews and compares three different linear algebraic signal subspace techniques for broa...
In this paper, we present a comprehensive comparison of different structures for broadband beamformi...
This thesis addresses the formulation of and solution to broadband minimum variance distortionless r...
This paper expands on a recent polynomial matrix formulation for a minimum variance distortionless r...
Spatial information in broadband array signals is embedded in the relative delay with which sources ...
This overview paper motivates the description of broadband sensor array problems by polynomial matri...
A large family of broadband angle of arrival estimation algorithms are based on the coherent signal ...
In this paper we study the impact of polynomial or broadband subspace decompositions on any subseque...
This thesis is concerned with the problem of broadband angle of arrival (AoA) estimation for sensor ...
[Formulation of broadband array problems using polynomial matrix notation; polynomial matrix factori...
In broadband array processing applications, an extension of the eigenvalue decomposition (EVD) to pa...
As part of the last day of the UDRC 2021 summer school, this presentation provides an overview over ...
Direction of arrival algorithms which exploit the eigenstructure of the spatial covariance matrix (s...
The popular MUSIC algorithm has been recently extended to broadband scenarios through the use of pol...
Polynomial parahermitian matrices can accurately and elegantly capture the space-time covariance in ...
This paper reviews and compares three different linear algebraic signal subspace techniques for broa...
In this paper, we present a comprehensive comparison of different structures for broadband beamformi...
This thesis addresses the formulation of and solution to broadband minimum variance distortionless r...
This paper expands on a recent polynomial matrix formulation for a minimum variance distortionless r...
Spatial information in broadband array signals is embedded in the relative delay with which sources ...
This overview paper motivates the description of broadband sensor array problems by polynomial matri...
A large family of broadband angle of arrival estimation algorithms are based on the coherent signal ...
In this paper we study the impact of polynomial or broadband subspace decompositions on any subseque...
This thesis is concerned with the problem of broadband angle of arrival (AoA) estimation for sensor ...
[Formulation of broadband array problems using polynomial matrix notation; polynomial matrix factori...
In broadband array processing applications, an extension of the eigenvalue decomposition (EVD) to pa...
As part of the last day of the UDRC 2021 summer school, this presentation provides an overview over ...
Direction of arrival algorithms which exploit the eigenstructure of the spatial covariance matrix (s...
The popular MUSIC algorithm has been recently extended to broadband scenarios through the use of pol...
Polynomial parahermitian matrices can accurately and elegantly capture the space-time covariance in ...
This paper reviews and compares three different linear algebraic signal subspace techniques for broa...
In this paper, we present a comprehensive comparison of different structures for broadband beamformi...