DocumentCode
3099185
Title
On the optimality of Bussgang and super exponential blind deconvolution methods
Author
Scarano, Gaetano ; Jacovitti, Giovanni
Author_Institution
INFOCOM Dept., Rome Univ., Italy
fYear
1997
fDate
21-23 Jul 1997
Firstpage
244
Lastpage
247
Abstract
In this contribution, a generalization of the super exponential blind deconvolution method is discussed. The generalization consists in the definition of a “spikyness” criterion involving nonlinearities rather than only powers. This allows to rephrase Bussgang deconvolution in the framework of super exponential deconvolution using a spikyness criterion which takes into account the pdf of the input series to be recovered. Improved performance is expected when generalized super exponential deconvolution is tuned to suitable optimality criteria
Keywords
deconvolution; higher order statistics; optimisation; Bussgang methods; input series; nonlinearities; optimality; performance; spikyness criterion; super exponential blind deconvolution methods; Concrete; Convolution; Costs; Deconvolution; Higher order statistics; Iterative algorithms; Iterative methods; Large scale integration; Minimization methods; Nonlinear equations;
fLanguage
English
Publisher
ieee
Conference_Titel
Higher-Order Statistics, 1997., Proceedings of the IEEE Signal Processing Workshop on
Conference_Location
Banff, Alta.
Print_ISBN
0-8186-8005-9
Type
conf
DOI
10.1109/HOST.1997.613524
Filename
613524
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