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
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