Blind source separation with noise cancellation
- The Problem
The task is to separate N unknown sources S(t) from M measured linear mixtures of sources X(t), that contain unknown additive noise also. The added noise vector is modeled as an convolutive mixture of one noise signal n(t).
Fig. The model of source mixing with additive and convolutional noise.
- Specific solution
In general the problem is very difficult to solve without some apriori knowledge about the noise. We have proposed a method for simultaneous source separation and noise cancellation, in case of an additive, convolutional noise and when a reference noise is available.
For details see the paper in Neural Computing and Applications, 1997.
An earlier paper at the conference ICSP 1996 also addresses this approach.
June 1996