Procedures such as FOBI that jointly diagonalize two matrices with the independence property have a long tradition in ICA. These procedures have well-known statistical properties, for example they are prone to failure if the sources have multiple identical values on the diagonal. In this paper we suggest to diagonalize jointly $k\ge 2$ scatter matrices havingthe independence property. For the joint diagonalization we suggest a novel algorithm which finds the correct direction in an deflation-based manner, one after another. The resulting algorithm can also handle degenerate signals and is robust against noise. This is demonstrated in a simulation study
Multidimensional or group independent component analysis describes the task of transforming a multiv...
Multidimensional or group independent component analysis describes the task of transforming a multiv...
The problem of blind separation of complex-valued signals via joint diagonalization of a set of non-...
Procedures such as FOBI that jointly diagonalize two matrices with the independence property have a ...
Procedures such as FOBI that jointly diagonalize two matrices with the independence property have a ...
Scatter matrices generalize the covariance matrix and are useful in many multivariate data analysis ...
Scatter matrices generalize the covariance matrix and are useful in many multivariate data analysis ...
Scatter matrices generalize the covariance matrix and are useful in many multivariate data analysis ...
Scatter matrices generalize the covariance matrix and are useful in many multivariate data analysis ...
Scatter matrices generalize the covariance matrix and are useful in many multivariate data analysis ...
Oja et al. [11] and Ollila et al. [12] showed that, under general assumptions, any two scatter matr...
A new efficient algorithm is presented for joint diagonalization of several matrices. The algorithm ...
In independent component analysis (ICA) the common task is to achieve either spatial or temporal ind...
Joint diagonalization of several correlation matrices is a powerful tool for blind signal separation...
International audienceThe approximate joint diagonalization (AJD) is an important analytic tool at t...
Multidimensional or group independent component analysis describes the task of transforming a multiv...
Multidimensional or group independent component analysis describes the task of transforming a multiv...
The problem of blind separation of complex-valued signals via joint diagonalization of a set of non-...
Procedures such as FOBI that jointly diagonalize two matrices with the independence property have a ...
Procedures such as FOBI that jointly diagonalize two matrices with the independence property have a ...
Scatter matrices generalize the covariance matrix and are useful in many multivariate data analysis ...
Scatter matrices generalize the covariance matrix and are useful in many multivariate data analysis ...
Scatter matrices generalize the covariance matrix and are useful in many multivariate data analysis ...
Scatter matrices generalize the covariance matrix and are useful in many multivariate data analysis ...
Scatter matrices generalize the covariance matrix and are useful in many multivariate data analysis ...
Oja et al. [11] and Ollila et al. [12] showed that, under general assumptions, any two scatter matr...
A new efficient algorithm is presented for joint diagonalization of several matrices. The algorithm ...
In independent component analysis (ICA) the common task is to achieve either spatial or temporal ind...
Joint diagonalization of several correlation matrices is a powerful tool for blind signal separation...
International audienceThe approximate joint diagonalization (AJD) is an important analytic tool at t...
Multidimensional or group independent component analysis describes the task of transforming a multiv...
Multidimensional or group independent component analysis describes the task of transforming a multiv...
The problem of blind separation of complex-valued signals via joint diagonalization of a set of non-...