Abstract
A new variable step-size equivariant adaptive source separation via independence (VS-EASI) algorithm for on-line blind separation of independent sources is proposed. The algorithm utilises a variable step-size and thereby matches its performance to the dynamics of the input signals together with changes in the underlying mixing matrix. The algorithm is therefore particularly well suited to blind source separation in a non-stationary environment. Monte Carlo simulation studied support the expected improvement in convergence speed of the approach.