Robust Blind Sour e Separation utilizing

Blind Separation of Nonstationary Sour es in Noisy Mixtures

Localization of Independent Components from Magnetoencephalography

Blind sour e separation (BSS) de omposes a multidimensional time series into a set of sour es, ea h with a one-dimensional time ourse and a xed spatial distribution. For EEG and MEG, the former orresponds to the simultaneously separated and temporally overlapping signals for ontinuous non-averaged data; the latter orresponds to the set of attenuations from the sour es to the sensors. These sens...

A Robust Whitening Procedure in Blind Source Separation Context

The main objective of this letter is to present an e cient algorithm for robust whitening in the presence of temporally uncorrelated additive noise that may be spatially correlated. This whitening is introduced as a pre-processing step in the blind source separation process. The robust whitening consists in the eigenvalue decomposition of a positive de nite linear combination of a set a correla...

Combined Multi-Channel NMF-Based Robust Beamforming for Noisy Speech Recognition

We propose a novel acoustic beamforming method using blind source separation (BSS) techniques based on non-negative matrix factorization (NMF). In conventional mask-based approaches, hard or soft masks are estimated and beamforming is performed using speech and noise spatial covariance matrices calculated from masked noisy observations, but the phase information of the target speech is not adeq...

Utilization of Blind Source Separation Techniques for Modal Analysis

In past few years, there have been attempts at utilizing Blind Source Separation (BSS) and Independent Component Analysis (ICA) techniques for modal analysis purposes. Most of the early work in this regard has been promising, though restricted to application of these techniques to analytical and laboratory based experimental structures. It is felt that in order to make these techniques applicab...