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» Some Gradient Based Joint Diagonalization Methods for ICA
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ICA
2004
Springer
13 years 10 months ago
Some Gradient Based Joint Diagonalization Methods for ICA
Abstract. We present a set of gradient based orthogonal and nonorthogonal matrix joint diagonalization algorithms. Our approach is to use the geometry of matrix Lie groups to devel...
Bijan Afsari, Perinkulam S. Krishnaprasad
ICA
2007
Springer
13 years 11 months ago
Blind Separation of Cyclostationary Sources Using Joint Block Approximate Diagonalization
This paper introduces an extension of an earlier method of the author for separating stationary sources, based on the joint approximated diagonalization of interspectral matrices, ...
D. T. Pham
ICA
2004
Springer
13 years 10 months ago
Approximate Joint Diagonalization Using a Natural Gradient Approach
We present a new algorithm for non-unitary approximate joint diagonalization (AJD), based on a “natural gradient”-type multiplicative update of the diagonalizing matrix, comple...
Arie Yeredor, Andreas Ziehe, Klaus-Robert Mül...
IDA
2009
Springer
13 years 11 months ago
Soft Dimension Reduction for ICA by Joint Diagonalization on the Stiefel Manifold
Abstract. Joint diagonalization for ICA is often performed on the orthogonal group after a pre-whitening step. Here we assume that we only want to extract a few sources after pre-w...
Fabian J. Theis, Thomas P. Cason, Pierre-Antoine A...
ICA
2004
Springer
13 years 10 months ago
Blind Signal Separation of Convolutive Mixtures: A Time-Domain Joint-Diagonalization Approach
We address the blind source separation (BSS) problem for the convolutive mixing case. Second-order statistical methods are employed assuming the source signals are non-stationary a...
Marcel Joho