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
Link To Document :
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