Bootstrap: A fast blind adaptive signal separator

Document Type

Conference Proceeding

Publication Date

1-1-1992

Abstract

In this paper, we propose a new fast multidimensional adaptive algorithm named Bootstrap for multi signal separation. It separates multi uncorrected signals imposed on each other. Bootstrap adaptive algorithm which does not require training sequence employs an optimization criteria that based on minimization of output signal correlations. The learning process of this Bootstrap algorithm is compared with that of the least mean square (LMS) algorithm for different eigenvalue spreads. It has been found from the computer simulations that the Bootstrap algorithm converges much faster than the LMS algorithm. The learning process of Bootstrap algorithm is almost independent of eigenvalue spread.

Identifier

0242358389 (Scopus)

ISBN

[0780305329]

Publication Title

ICASSP IEEE International Conference on Acoustics Speech and Signal Processing Proceedings

External Full Text Location

https://doi.org/10.1109/ICASSP.1992.226054

ISSN

15206149

First Page

325

Last Page

328

Volume

2

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