This paper describes the circularity problem of frequencydomain blind source separation (BSS), and presents a new method for solving it. Frequency-domain BSS performs independent component analysis (ICA) in each frequency bin. It is more efficient than time-domain BSS where ICA is applied to convolutive mixtures. However, frequency-domain BSS has two problems. The first is the permutation probl...

Rendering the usually visible 'invisible' has long been a popular experimental manipulation. With one notable exception, 'continuous flash suppression' [Tsuchiya, N., & Koch, C. (2005). Continuous flash suppression reduces negative afterimages. Nature Neuroscience, 8, 1096-1101], existing methods of achieving this goal suffer from being either unable to suppress stimuli from awareness for prolo...

ABSTRACT Using algorithmic complexity to perform blind source separation (BSS) was first proposed by Pajunen. This approach presents the advantage of taking the whole signal structure into account to achieve separation, whereas standard ICA-based methods only use either time-correlations or higher order statistics in order to do so. Another advantage of this approach is that no assumptions abou...

Polymyositis (PM) is a subset of idiopathic inflammatory myopathies. The muscles involved with PM are typically proximal and distal limb muscles, but paraspinal muscles are rarely affected. The primary PM clinical symptom is gradual proximal muscle weakness but unusually abnormal trunk posture. Bent spine syndrome (BSS), also referred to camptocormia, is defined as an abnormal flexion of the tr...

5 Blind Source Separation (BSS) plays a key role to analyze multichannel data since it aims at recovering unknown underlying elementary sources from observed linear mixtures in an unsupervised way. In a large number of applications, multichannel measurements contain corrupted entries, which are highly detrimental for most BSS techniques. In this article, we introduce a 10 new robust BSS techniq...

The blind source separation problem (BSS) consists in extracting uncorrelated sources from an observed linear mixture. The rationale behind BSS is to reconstruct correctly the waveform of the signals allowing arbitrariness of their sign, order and energy. Known closed-from solutions succeed by relying on specific assumptions about the source distributional form. For more complex signal, such as...

In Blind Source Separation (BSS) processing, taking advantage of scaling factor indetermination and based on the floatingpoint representation, we propose a scaling technique applied to the separation matrix, to avoid the saturation or the weakness in the recovered source signals. This technique performs an Automatic Gain Control (AGC) in an on-line BSS environment. We demonstrate the effectiven...

We examine the relation of BSS-reducibility on subsets of R. The question was asked recently (and anonymously) whether it is possible for the halting problem H in BSS-computation to be BSSreducible to a countable set. Intuitively, it seems that a countable set ought not to contain enough information to decide membership in a reasonably complex (uncountable) set such as H. We confirm this intuit...

Protein permeability of the ciliary epithelium of enucleated arterially perfused cat eyes was studied. Tracer concentrations of 125I-albumin, in an arterial perfusate solution consisting of a balanced salt solution (BSS) without added colloid, was found in the anterior chamber fluid (AH) in a percentage similar to the AH/plasma ratio found for protein in the living cat eye. Stimulation of AH fo...