Using blind source separation algorithm by minimizing mutual information
in reference channels of multichannel adaptive cancelling disturbances
A. E. Manokhin
Ural Federal University
The paper is received on December 3,
2015 after correction - on March 7, 2016
Abstract. In the work the problem of multichannel
adaptive cancelling disturbances with their preliminary separation in reference
channels is decided. A kind of the canceller is an application of blind
separation algorithm by minimizing mutual information. As a result, first,
convergence rate is increased, and second, disturbances separate even if to be
exposed by different linear transformations in a channel. The gain of
convergence rate equals not less than 28 times.
Key words: blind sources separation,
multichannel adaptive canceller, algorithm by minimizing mutual information, convergence
rate.