DocumentCode :
1749092
Title :
Frequency domain multichannel blind deconvolution using adaptive spline functions
Author :
Lupini, A. ; Piazza, Francesco ; Uncini, Aurelio
Author_Institution :
Dipt. INFOCOM, Rome Univ.
Volume :
1
fYear :
2001
fDate :
2001
Firstpage :
464
Abstract :
An architecture for multichannel blind deconvolution in the frequency domain is presented. It is based on a complex-domain non-linear function, built with two spline functions, one for the real and one for the imaginary part, whose control points are adaptively changed using gradient-based techniques. B-spline functions are used since they allow us to impose only simple constraints on the control parameters in order to ensure the needed monotonously increasing characteristic. In the paper the adaptation rules for both the un-mixing matrix and the spline control points are also derived. Some experimental results that demonstrate the effectiveness of the proposed method are presented
Keywords :
deconvolution; gradient methods; information theory; matrix algebra; splines (mathematics); B-spline functions; adaptation rules; adaptive spline functions; complex-domain nonlinear function; frequency domain multichannel blind deconvolution; gradient-based techniques; spline control points; un-mixing matrix; Blind source separation; Deconvolution; Density functional theory; Entropy; Finite impulse response filter; Fourier transforms; Frequency domain analysis; Neural networks; Shape; Spline;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Neural Networks, 2001. Proceedings. IJCNN '01. International Joint Conference on
Conference_Location :
Washington, DC
ISSN :
1098-7576
Print_ISBN :
0-7803-7044-9
Type :
conf
DOI :
10.1109/IJCNN.2001.939064
Filename :
939064
Link To Document :
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