Editing Signal separation (section)

===Image processing===
[[File:BSS-example.png|thumb|Figure 2. Visual example of BSS]]
Figure 2 shows the basic concept of BSS.  The individual source signals are shown as well as the mixed signals which are received signals. BSS is used to separate the mixed signals with only knowing mixed signals and nothing about original signal or how they were mixed.  The separated signals are only approximations of the source signals.  The separated images, were separated using [[Python (programming language)|Python]] and the [[Shogun (toolbox)|Shogun toolbox]] using Joint Approximation Diagonalization of Eigen-matrices ([[Joint Approximation Diagonalization of Eigen-matrices|JADE]]) algorithm which is based on [[independent component analysis]], ICA.<ref>Kevin Hughes “Blind Source Separation on Images with Shogun” http://shogun-toolbox.org/static/notebook/current/bss_image.html</ref>   This toolbox method can be used with multi-dimensions but for an easy visual aspect images(2-D) were used.