Blind extraction of singularly mixed source signals

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journal

46 Scopus Citations
View graph of relations

Author(s)

Detail(s)

Original languageEnglish
Pages (from-to)1413-1422
Journal / PublicationIEEE Transactions on Neural Networks
Volume11
Issue number6
Publication statusPublished - Nov 2000
Externally publishedYes

Abstract

This paper introduces a novel technique for sequential blind extraction of singularly mixed sources. First, a neural-network model and an adaptive algorithm for single-source blind extraction are introduced. Next, extractability analysis is presented for singular mixing matrix, and two sets of necessary and sufficient extractability conditions are derived. The adaptive algorithm and neural-network model for sequential blind extraction are then presented. The stability of the algorithm is discussed. Simulation results are presented to illustrate the validity of the adaptive algorithm and the stability analysis. The proposed algorithm is suitable for the case of nonsingular mixing matrix as well as for singular mixing matrix.

Research Area(s)

  • Adaptive algorithm, Blind extraction, Extractability, Singular matrix, Stability

Citation Format(s)

Blind extraction of singularly mixed source signals. / Li, Yuanqing; Wang, Jun; Zurada, Jacek M.

In: IEEE Transactions on Neural Networks, Vol. 11, No. 6, 11.2000, p. 1413-1422.

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journal