Robust regression and outlier detection
Robust regression and outlier detection
A multiscale framework for blind separation of linearly mixed signals
The Journal of Machine Learning Research
Blind Source Separation by Sparse Decomposition in a Signal Dictionary
Neural Computation
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The scatter plot of two image mixtures, generated by mixing two positive sources, is bounded by a parallelogram, the orientations of which are defined by the two ratios of the four mixing coefficients. The existence of inter-source dependencies creates a distribution bounded by a different rectilinear shape, bounded by the original parallelogram. Based on this observations a robust graphical method for Blind Source Separation (BSS) is presented with reference to the scatter plot of the mixtures. The error analysis in presence of inter source dependencies is presented.