Blind source separation problem

The first factorial method we considered in this chapter was PCA. Although this is the most common projection method in multivariate analysis, PCA could not solve what is known as the blind source separation problem. Imagine a cocktail party where you... 

In this study, the force de-noising is solved as a bhnd source separation (BSS) problem. Blind source separation (Comon, 1994) is a form of signal separation technique which blindly estimates individual source components from their received mixtures at sensors. In BSS, the m observed signals Xi k) i = 1,2,... nt) are linear mixed combinations of n... 

Move ambulatory persons away from the source of the contamination. You have to separate the walking wounded from the prone (e.g., All those who can walk, come to me ). Particularly with chemical agents, victims may have eye problems that blind them at least temporarily tell every victim that appears disoriented to put his right hand on the back of the shoulder of the victim in front of him and hang on to that person. In this way, a whole line of survivors can be led out of a contaminated area. 

As the reflected radiation is emitted from the sample in a random direction, diffusely reflected radiation can be separated from, potentially sensor-blinding, specular reflections. Common techniques are off-angle positioning of the sensor with respect to the position(s) of the illumination source(s) and the use of polarisation filters. Application restrictions apply to optically clear samples with little to no scattering centres, thin samples on an absorbing background and dark samples. In either of these cases, the intensity of radiation diffusely reflected off such samples is frequently insufficient for spectral analysis. While dark objectives remain a problem, thin and/or transparent samples can be measured in transmission or in transflectance. 

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