Blind Source Separation Task
(Redirected from Blind Signal Separation)
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A Blind Source Separation Task is a Signal Processing Task that requires the separation of a set of source signals from a set of mixed signals.
References
2016
- (Wikipedia, 2016) ⇒ http://wikipedia.org/wiki/Blind_signal_separation Retrieved:2016-4-10.
- Blind signal separation, also known as blind source separation, is the separation of a set of source signals from a set of mixed signals, without the aid of information (or with very little information) about the source signals or the mixing process. This problem is in general highly underdetermined, but useful solutions can be derived under a surprising variety of conditions. Much of the early literature in this field focuses on the separation of temporal signals such as audio. However, blind signal separation is now routinely performed on multidimensional data, such as images and tensors, which may involve no time dimension whatsoever.
2010
- (Comon & Jutten, 2010) ⇒ Pierre Comon, and Christian Jutten, eds. (2010). “Handbook of Blind Source Separation: Independent Component Analysis and Applications." Academic Press.