Two rapidly convergent algorithms for signal separation

Author

Fahmy, M.F. ; El-Raheem, G.M.A. ; El-Sallam, A.A.

Author_Institution

Dept. of Electr. Eng., Assiut Univ., Egypt

Volume

3

fYear

1999

fDate

36342

Firstpage

13

Abstract

This paper presents two methods for signal separation. In these methods, the parameters of the decoupling system are adaptively adjusted to minimize either the output cross correlation or the output cross cumulant functions, respectively. Alternatively, these parameters can also be determined as the least squares solution of a set of equations describing either the cross correlation or cross cumulant functions when evaluated for different lags. Both methods are characterized by their rapid convergence property. Illustrative examples are also given

Keywords

correlation theory; higher order statistics; least squares approximations; signal resolution; decoupling system; least squares solution; output cross correlation; output cross cumulant functions; rapidly convergent algorithms; signal separation; Deconvolution; Decorrelation; Differential equations; Eigenvalues and eigenfunctions; Finite impulse response filter; Higher order statistics; Least squares methods; Maximum likelihood detection; Source separation; Vectors;

fLanguage

English

Publisher

ieee

Conference_Titel

Circuits and Systems, 1999. ISCAS '99. Proceedings of the 1999 IEEE International Symposium on

Conference_Location

Orlando, FL

Print_ISBN

0-7803-5471-0

Type

conf

DOI

10.1109/ISCAS.1999.778773

Filename

778773