Blind Bounded Source Separation Using Neural Networks with Local Learning Rules
Blind Bounded Source Separation Using Neural Networks with Local Learning Rules
An important problem encountered by both natural and engineered signal processing systems is blind source separation. In many instances of the problem, the sources are bounded by their nature and known to be so, even though the particular bound may not be known. To separate such bounded sources from their …